Sebastian Riedel

263 papers A* 29A 7B 7Misc 1Journal 123Unranked 90

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts? ACL (Findings) Sohee Yang, Nora Kassner, Elena Gribovskaya, Sebastian Riedel, Mor Geva
2025	—	`conf`	How Well Can Reasoning Models Identify and Recover from Unhelpful Thoughts? EMNLP (Findings) Sohee Yang, Sang-Woo Lee, Nora Kassner, Daniela Gottesman, Sebastian Riedel, Mor Geva
2025	J	`jnl`	How Well Can Reasoning Models Identify and Recover from Unhelpful Thoughts? CoRR Sohee Yang, Sang-Woo Lee, Nora Kassner, Daniela Gottesman, Sebastian Riedel, Mor Geva
2025	—	`conf`	LOFT: Scalable and More Realistic Long-Context Evaluation. NAACL (Findings) Jinhyuk Lee, Anthony Chen, Zhuyun Dai, Dheeru Dua, Devendra Singh Sachan, Michael Boratko, Yi Luan, Sébastien M. R. Arnold, Vincent Perot, Siddharth Dalmia, Hexiang Hu, Xudong Lin, Panupong Pasupat, Aida Amini, Jeremy R. Cole, Sebastian Riedel, Iftekhar Naim, Ming-Wei Chang, Kelvin Guu
2024	J	`jnl`	Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More? CoRR Jinhyuk Lee, Anthony Chen, Zhuyun Dai, Dheeru Dua, Devendra Singh Sachan, Michael Boratko, Yi Luan, Sébastien M. R. Arnold, Vincent Perot, Siddharth Dalmia, Hexiang Hu, Xudong Lin, Panupong Pasupat, Aida Amini, Jeremy R. Cole, Sebastian Riedel, Iftekhar Naim, Ming-Wei Chang, Kelvin Guu
2024	—	`conf`	Do Large Language Models Latently Perform Multi-Hop Reasoning? ACL (1) Sohee Yang, Elena Gribovskaya, Nora Kassner, Mor Geva, Sebastian Riedel
2024	J	`jnl`	Do Large Language Models Latently Perform Multi-Hop Reasoning? CoRR Sohee Yang, Elena Gribovskaya, Nora Kassner, Mor Geva, Sebastian Riedel
2024	J	`jnl`	Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts? CoRR Sohee Yang, Nora Kassner, Elena Gribovskaya, Sebastian Riedel, Mor Geva
2024	—	`conf`	Strings from the Library of Babel: Random Sampling as a Strong Baseline for Prompt Optimisation. NAACL-HLT Yao Lu, Jiayi Wang, Raphael Tang, Sebastian Riedel, Pontus Stenetorp
2023	J	`jnl`	Atlas: Few-shot Learning with Retrieval Augmented Language Models. J. Mach. Learn. Res. Gautier Izacard, Patrick Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, Edouard Grave
2023	A*	`conf`	Can discrete information extraction prompts generalize across language models? ICLR Nathanaël Carraz Rakotonirina, Roberto Dessì, Fabio Petroni, Sebastian Riedel, Marco Baroni
2023	J	`jnl`	Can discrete information extraction prompts generalize across language models? CoRR Nathanaël Carraz Rakotonirina, Roberto Dessì, Fabio Petroni, Sebastian Riedel, Marco Baroni
2023	A*	`conf`	Improving Language Plasticity via Pretraining with Active Forgetting. NeurIPS Yihong Chen, Kelly Marchisio, Roberta Raileanu, David Ifeoluwa Adelani, Pontus Lars Erik Saito Stenetorp, Sebastian Riedel, Mikel Artetxe
2023	J	`jnl`	Improving Language Plasticity via Pretraining with Active Forgetting. CoRR Yihong Chen, Kelly Marchisio, Roberta Raileanu, David Ifeoluwa Adelani, Pontus Stenetorp, Sebastian Riedel, Mikel Artetxe
2023	J	`jnl`	Improving Wikipedia verifiability with AI. Nat. Mac. Intell. Fabio Petroni, Samuel Broscheit, Aleksandra Piktus, Patrick Lewis, Gautier Izacard, Lucas Hosseini, Jane Dwivedi-Yu, Maria Lomeli, Timo Schick, Michele Bevilacqua, Pierre-Emmanuel Mazaré, Armand Joulin, Edouard Grave, Sebastian Riedel
2023	A*	`conf`	PEER: A Collaborative Language Model. ICLR Timo Schick, Jane A. Yu, Zhengbao Jiang, Fabio Petroni, Patrick Lewis, Gautier Izacard, Qingfei You, Christoforos Nalmpantis, Edouard Grave, Sebastian Riedel
2023	J	`jnl`	Prompt Optimisation with Random Sampling. CoRR Yao Lu, Jiayi Wang, Sebastian Riedel, Pontus Stenetorp
2023	—	`conf`	Task-aware Retrieval with Instructions. ACL (Findings) Akari Asai, Timo Schick, Patrick Lewis, Xilun Chen, Gautier Izacard, Sebastian Riedel, Hannaneh Hajishirzi, Wen-tau Yih
2022	—	`ed.`	4th Conference on Automated Knowledge Base Construction, AKBC 2022, London, UK, November 3-5, 2022. AKBC Sebastian Riedel, Eunsol Choi, Andreas Vlachos, James Thorne, Marek Rei, Fabio Petroni
2022	—	`conf`	A Few More Examples May Be Worth Billions of Parameters. EMNLP (Findings) Yuval Kirstain, Patrick Lewis, Sebastian Riedel, Omer Levy
2022	A*	`conf`	An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks. EMNLP Yuxiang Wu, Yu Zhao, Baotian Hu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2022	J	`jnl`	An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks. CoRR Yuxiang Wu, Yu Zhao, Baotian Hu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2022	A*	`conf`	Autoregressive Search Engines: Generating Substrings as Document Identifiers. NeurIPS Michele Bevilacqua, Giuseppe Ottaviano, Patrick Lewis, Scott Yih, Sebastian Riedel, Fabio Petroni
2022	J	`jnl`	Autoregressive Search Engines: Generating Substrings as Document Identifiers. CoRR Michele Bevilacqua, Giuseppe Ottaviano, Patrick Lewis, Wen-tau Yih, Sebastian Riedel, Fabio Petroni
2022	—	`conf`	Boosted Dense Retriever. NAACL-HLT Patrick Lewis, Barlas Oguz, Wenhan Xiong, Fabio Petroni, Scott Yih, Sebastian Riedel
2022	—	`conf`	Challenges in Generalization in Open Domain Question Answering. NAACL-HLT (Findings) Linqing Liu, Patrick Lewis, Sebastian Riedel, Pontus Stenetorp
2022	—	`conf`	Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models. ACL (Findings) Robert L. Logan IV, Ivana Balazevic, Eric Wallace, Fabio Petroni, Sameer Singh, Sebastian Riedel
2022	—	`conf`	Domain-matched Pre-training Tasks for Dense Retrieval. NAACL-HLT (Findings) Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Scott Yih, Sonal Gupta, Yashar Mehdad
2022	A*	`conf`	EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexing. EMNLP Nora Kassner, Fabio Petroni, Mikhail Plekhanov, Sebastian Riedel, Nicola Cancedda
2022	J	`jnl`	EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexing. CoRR Nora Kassner, Fabio Petroni, Mikhail Plekhanov, Sebastian Riedel, Nicola Cancedda
2022	J	`jnl`	EditEval: An Instruction-Based Benchmark for Text Improvements. CoRR Jane Dwivedi-Yu, Timo Schick, Zhengbao Jiang, Maria Lomeli, Patrick Lewis, Gautier Izacard, Edouard Grave, Sebastian Riedel, Fabio Petroni
2022	—	`conf`	Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity. ACL (1) Yao Lu, Max Bartolo, Alastair Moore, Sebastian Riedel, Pontus Stenetorp
2022	J	`jnl`	Few-shot Learning with Retrieval Augmented Language Models. CoRR Gautier Izacard, Patrick Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, Edouard Grave
2022	J	`jnl`	Improving Wikipedia Verifiability with AI. CoRR Fabio Petroni, Samuel Broscheit, Aleksandra Piktus, Patrick Lewis, Gautier Izacard, Lucas Hosseini, Jane Dwivedi-Yu, Maria Lomeli, Timo Schick, Pierre-Emmanuel Mazaré, Armand Joulin, Edouard Grave, Sebastian Riedel
2022	—	`conf`	Lifting the Curse of Multilinguality by Pre-training Modular Transformers. NAACL-HLT Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin, Xian Li, James Cross, Sebastian Riedel, Mikel Artetxe
2022	J	`jnl`	Lifting the Curse of Multilinguality by Pre-training Modular Transformers. CoRR Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin, Xian Li, James Cross, Sebastian Riedel, Mikel Artetxe
2022	—	`conf`	Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants. NAACL-HLT Max Bartolo, Tristan Thrush, Sebastian Riedel, Pontus Stenetorp, Robin Jia, Douwe Kiela
2022	J	`jnl`	Multilingual Autoregressive Entity Linking. Trans. Assoc. Comput. Linguistics Nicola De Cao, Ledell Wu, Kashyap Popat, Mikel Artetxe, Naman Goyal, Mikhail Plekhanov, Luke Zettlemoyer, Nicola Cancedda, Sebastian Riedel, Fabio Petroni
2022	—	`conf`	Open Vocabulary Extreme Classification Using Generative Models. ACL (Findings) Daniel Simig, Fabio Petroni, Pouya Yanki, Kashyap Popat, Christina Du, Sebastian Riedel, Majid Yazdani
2022	J	`jnl`	Open Vocabulary Extreme Classification Using Generative Models. CoRR Daniel Simig, Fabio Petroni, Pouya Yanki, Kashyap Popat, Christina Du, Sebastian Riedel, Majid Yazdani
2022	J	`jnl`	PEER: A Collaborative Language Model. CoRR Timo Schick, Jane Dwivedi-Yu, Zhengbao Jiang, Fabio Petroni, Patrick Lewis, Gautier Izacard, Qingfei You, Christoforos Nalmpantis, Edouard Grave, Sebastian Riedel
2022	J	`jnl`	ProoFVer: Natural Logic Theorem Proving for Fact Verification. Trans. Assoc. Comput. Linguistics Amrith Krishna, Sebastian Riedel, Andreas Vlachos
2022	J	`jnl`	Query Expansion Using Contextual Clue Sampling with Language Models. CoRR Linqing Liu, Minghan Li, Jimmy Lin, Sebastian Riedel, Pontus Stenetorp
2022	A*	`conf`	ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective. NeurIPS Yihong Chen, Pushkar Mishra, Luca Franceschi, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2022	J	`jnl`	ReFactorGNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective. CoRR Yihong Chen, Pushkar Mishra, Luca Franceschi, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2022	J	`jnl`	Task-aware Retrieval with Instructions. CoRR Akari Asai, Timo Schick, Patrick Lewis, Xilun Chen, Gautier Izacard, Sebastian Riedel, Hannaneh Hajishirzi, Wen-tau Yih
2022	J	`jnl`	Unsupervised Dense Information Retrieval with Contrastive Learning. Trans. Mach. Learn. Res. Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave
2021	J	`jnl`	A Few More Examples May Be Worth Billions of Parameters. CoRR Yuval Kirstain, Patrick Lewis, Sebastian Riedel, Omer Levy
2021	A*	`conf`	Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. ICLR Wenhan Xiong, Xiang Lorraine Li, Srini Iyer, Jingfei Du, Patrick Lewis, William Yang Wang, Yashar Mehdad, Scott Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz
2021	A*	`conf`	Autoregressive Entity Retrieval. ICLR Nicola De Cao, Gautier Izacard, Sebastian Riedel, Fabio Petroni
2021	J	`jnl`	Boosted Dense Retriever. CoRR Patrick Lewis, Barlas Oguz, Wenhan Xiong, Fabio Petroni, Wen-tau Yih, Sebastian Riedel
2021	J	`jnl`	Challenges in Generalization in Open Domain Question Answering. CoRR Linqing Liu, Patrick Lewis, Sebastian Riedel, Pontus Stenetorp
2021	B	`conf`	Concept Matching for Low-Resource Classification. IJCNN Federico Errica, Fabrizio Silvestri, Bora Edizel, Ludovic Denoyer, Fabio Petroni, Vassilis Plachouras, Sebastian Riedel
2021	J	`jnl`	Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models. CoRR Robert L. Logan IV, Ivana Balazevic, Eric Wallace, Fabio Petroni, Sameer Singh, Sebastian Riedel
2021	J	`jnl`	Database Reasoning Over Text. CoRR James Thorne, Majid Yazdani, Marzieh Saeidi, Fabrizio Silvestri, Sebastian Riedel, Alon Y. Halevy
2021	—	`conf`	Database reasoning over text. ACL/IJCNLP (1) James Thorne, Majid Yazdani, Marzieh Saeidi, Fabrizio Silvestri, Sebastian Riedel, Alon Y. Halevy
2021	J	`jnl`	Domain-matched Pre-training Tasks for Dense Retrieval. CoRR Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Wen-tau Yih, Sonal Gupta, Yashar Mehdad
2021	—	`conf`	Dynabench: Rethinking Benchmarking in NLP. NAACL-HLT Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts, Adina Williams
2021	J	`jnl`	Dynabench: Rethinking Benchmarking in NLP. CoRR Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts, Adina Williams
2021	J	`jnl`	Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity. CoRR Yao Lu, Max Bartolo, Alastair Moore, Sebastian Riedel, Pontus Stenetorp
2021	J	`jnl`	From Natural Language Processing to Neural Databases. Proc. VLDB Endow. James Thorne, Majid Yazdani, Marzieh Saeidi, Fabrizio Silvestri, Sebastian Riedel, Alon Y. Levy
2021	—	`conf`	Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation. EMNLP (1) Max Bartolo, Tristan Thrush, Robin Jia, Sebastian Riedel, Pontus Stenetorp, Douwe Kiela
2021	J	`jnl`	Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation. CoRR Max Bartolo, Tristan Thrush, Robin Jia, Sebastian Riedel, Pontus Stenetorp, Douwe Kiela
2021	—	`conf`	Joint Verification and Reranking for Open Fact Checking Over Tables. ACL/IJCNLP (1) Michael Sejr Schlichtkrull, Vladimir Karpukhin, Barlas Oguz, Mike Lewis, Wen-tau Yih, Sebastian Riedel
2021	—	`conf`	KILT: a Benchmark for Knowledge Intensive Language Tasks. NAACL-HLT Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick Lewis, Majid Yazdani, Nicola De Cao, James Thorne, Yacine Jernite, Vladimir Karpukhin, Jean Maillard, Vassilis Plachouras, Tim Rocktäschel, Sebastian Riedel
2021	—	`ch.`	Learning Reasoning Strategies in End-to-End Differentiable Proving. Neuro-Symbolic Artificial Intelligence Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel
2021	J	`jnl`	Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants. CoRR Max Bartolo, Tristan Thrush, Sebastian Riedel, Pontus Stenetorp, Robin Jia, Douwe Kiela
2021	J	`jnl`	Multilingual Autoregressive Entity Linking. CoRR Nicola De Cao, Ledell Wu, Kashyap Popat, Mikel Artetxe, Naman Goyal, Mikhail Plekhanov, Luke Zettlemoyer, Nicola Cancedda, Sebastian Riedel, Fabio Petroni
2021	J	`jnl`	NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
2021	J	`jnl`	PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them. CoRR Patrick Lewis, Yuxiang Wu, Linqing Liu, Pasquale Minervini, Heinrich Küttler, Aleksandra Piktus, Pontus Stenetorp, Sebastian Riedel
2021	J	`jnl`	PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them. Trans. Assoc. Comput. Linguistics Patrick Lewis, Yuxiang Wu, Linqing Liu, Pasquale Minervini, Heinrich Küttler, Aleksandra Piktus, Pontus Stenetorp, Sebastian Riedel
2021	J	`jnl`	ProoFVer: Natural Logic Theorem Proving for Fact Verification. CoRR Amrith Krishna, Sebastian Riedel, Andreas Vlachos
2021	A	`conf`	Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets. EACL Patrick Lewis, Pontus Stenetorp, Sebastian Riedel
2021	—	`conf`	Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations. AKBC Yihong Chen, Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp
2021	J	`jnl`	Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations. CoRR Yihong Chen, Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp
2021	J	`jnl`	The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus. CoRR Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Dmytro Okhonko, Samuel Broscheit, Gautier Izacard, Patrick Lewis, Barlas Oguz, Edouard Grave, Wen-tau Yih, Sebastian Riedel
2021	J	`jnl`	Towards Unsupervised Dense Information Retrieval with Contrastive Learning. CoRR Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave
2021	—	`conf`	Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints. ACL/IJCNLP (2) Yuxiang Wu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2021	J	`jnl`	Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints. CoRR Yuxiang Wu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2020	J	`jnl`	A Memory Efficient Baseline for Open Domain Question Answering. CoRR Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Sebastian Riedel, Edouard Grave
2020	J	`jnl`	Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. CoRR Wenhan Xiong, Xiang Lorraine Li, Srinivasan Iyer, Jingfei Du, Patrick Lewis, William Yang Wang, Yashar Mehdad, Wen-tau Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz
2020	J	`jnl`	Autoregressive Entity Retrieval. CoRR Nicola De Cao, Gautier Izacard, Sebastian Riedel, Fabio Petroni
2020	—	`conf`	Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training. EMNLP (1) Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Sebastian Riedel, Tim Rocktäschel
2020	—	`conf`	AxCell: Automatic Extraction of Results from Machine Learning Papers. EMNLP (1) Marcin Kardas, Piotr Czapla, Pontus Stenetorp, Sebastian Ruder, Sebastian Riedel, Ross Taylor, Robert Stojnic
2020	J	`jnl`	AxCell: Automatic Extraction of Results from Machine Learning Papers. CoRR Marcin Kardas, Piotr Czapla, Pontus Stenetorp, Sebastian Ruder, Sebastian Riedel, Ross Taylor, Robert Stojnic
2020	J	`jnl`	Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension. Trans. Assoc. Comput. Linguistics Max Bartolo, Alastair Roberts, Johannes Welbl, Sebastian Riedel, Pontus Stenetorp
2020	J	`jnl`	Beat the AI: Investigating Adversarial Human Annotations for Reading Comprehension. CoRR Max Bartolo, Alastair Roberts, Johannes Welbl, Sebastian Riedel, Pontus Stenetorp
2020	J	`jnl`	Concept Matching for Low-Resource Classification. CoRR Federico Errica, Ludovic Denoyer, Bora Edizel, Fabio Petroni, Vassilis Plachouras, Fabrizio Silvestri, Sebastian Riedel
2020	A*	`conf`	Differentiable Reasoning on Large Knowledge Bases and Natural Language. AAAI Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel, Edward Grefenstette
2020	—	`ch.`	Differentiable Reasoning on Large Knowledge Bases and Natural Language. Knowledge Graphs for eXplainable Artificial Intelligence Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel, Edward Grefenstette
2020	—	`conf`	Don't Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering. SustaiNLP@EMNLP Yuxiang Wu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2020	—	`conf`	Don't Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering. EMNLP (1) Yuxiang Wu, Sebastian Riedel, Pasquale Minervini, Pontus Stenetorp
2020	J	`jnl`	Don't Read Too Much into It: Adaptive Computation for Open-Domain Question Answering. CoRR Yuxiang Wu, Sebastian Riedel, Pasquale Minervini, Pontus Stenetorp
2020	—	`conf`	Generating Fact Checking Briefs. EMNLP (1) Angela Fan, Aleksandra Piktus, Fabio Petroni, Guillaume Wenzek, Marzieh Saeidi, Andreas Vlachos, Antoine Bordes, Sebastian Riedel
2020	J	`jnl`	Generating Fact Checking Briefs. CoRR Angela Fan, Aleksandra Piktus, Fabio Petroni, Guillaume Wenzek, Marzieh Saeidi, Andreas Vlachos, Antoine Bordes, Sebastian Riedel
2020	—	`conf`	How Context Affects Language Models' Factual Predictions. AKBC Fabio Petroni, Patrick Lewis, Aleksandra Piktus, Tim Rocktäschel, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel
2020	J	`jnl`	How Context Affects Language Models' Factual Predictions. CoRR Fabio Petroni, Patrick Lewis, Aleksandra Piktus, Tim Rocktäschel, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel
2020	—	`conf`	How Decoding Strategies Affect the Verifiability of Generated Text. EMNLP (Findings) Luca Massarelli, Fabio Petroni, Aleksandra Piktus, Myle Ott, Tim Rocktäschel, Vassilis Plachouras, Fabrizio Silvestri, Sebastian Riedel
2020	J	`jnl`	Joint Verification and Reranking for Open Fact Checking Over Tables. CoRR Michael Sejr Schlichtkrull, Vladimir Karpukhin, Barlas Oguz, Mike Lewis, Wen-tau Yih, Sebastian Riedel
2020	J	`jnl`	KILT: a Benchmark for Knowledge Intensive Language Tasks. CoRR Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick Lewis, Majid Yazdani, Nicola De Cao, James Thorne, Yacine Jernite, Vassilis Plachouras, Tim Rocktäschel, Sebastian Riedel
2020	A*	`conf`	Learning Reasoning Strategies in End-to-End Differentiable Proving. ICML Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel
2020	J	`jnl`	Learning Reasoning Strategies in End-to-End Differentiable Proving. CoRR Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel
2020	A*	`conf`	MLQA: Evaluating Cross-lingual Extractive Question Answering. ACL Patrick Lewis, Barlas Oguz, Ruty Rinott, Sebastian Riedel, Holger Schwenk
2020	—	`conf`	NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
2020	J	`jnl`	Neural Databases. CoRR James Thorne, Majid Yazdani, Marzieh Saeidi, Fabrizio Silvestri, Sebastian Riedel, Alon Y. Halevy
2020	J	`jnl`	Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets. CoRR Patrick Lewis, Pontus Stenetorp, Sebastian Riedel
2020	A*	`conf`	Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. NeurIPS Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela
2020	J	`jnl`	Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. CoRR Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela
2020	—	`conf`	Scalable Zero-shot Entity Linking with Dense Entity Retrieval. EMNLP (1) Ledell Wu, Fabio Petroni, Martin Josifoski, Sebastian Riedel, Luke Zettlemoyer
2020	A*	`conf`	TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data. ACL Pengcheng Yin, Graham Neubig, Wen-tau Yih, Sebastian Riedel
2020	J	`jnl`	TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data. CoRR Pengcheng Yin, Graham Neubig, Wen-tau Yih, Sebastian Riedel
2020	J	`jnl`	There is Strength in Numbers: Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training. CoRR Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Sebastian Riedel, Tim Rocktäschel
2020	—	`conf`	Undersensitivity in Neural Reading Comprehension. EMNLP (Findings) Johannes Welbl, Pasquale Minervini, Max Bartolo, Pontus Stenetorp, Sebastian Riedel
2020	J	`jnl`	Undersensitivity in Neural Reading Comprehension. CoRR Johannes Welbl, Pasquale Minervini, Max Bartolo, Pontus Stenetorp, Sebastian Riedel
2019	J	`jnl`	Differentiable Reasoning on Large Knowledge Bases and Natural Language. CoRR Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel, Edward Grefenstette
2019	—	`conf`	Evaluating Rewards for Question Generation Models. NAACL-HLT (1) Tom Hosking, Sebastian Riedel
2019	J	`jnl`	Evaluating Rewards for Question Generation Models. CoRR Tom Hosking, Sebastian Riedel
2019	J	`jnl`	How Decoding Strategies Affect the Verifiability of Generated Text. CoRR Luca Massarelli, Fabio Petroni, Aleksandra Piktus, Myle Ott, Tim Rocktäschel, Vassilis Plachouras, Fabrizio Silvestri, Sebastian Riedel
2019	—	`conf`	Language Models as Knowledge Bases? EMNLP/IJCNLP (1) Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H. Miller
2019	J	`jnl`	Language Models as Knowledge Bases? CoRR Fabio Petroni, Tim Rocktäschel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel
2019	J	`jnl`	MLQA: Evaluating Cross-lingual Extractive Question Answering. CoRR Patrick Lewis, Barlas Oguz, Ruty Rinott, Sebastian Riedel, Holger Schwenk
2019	J	`jnl`	MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions. CoRR Viswanath Sivakumar, Tim Rocktäschel, Alexander H. Miller, Heinrich Küttler, Nantas Nardelli, Mike Rabbat, Joelle Pineau, Sebastian Riedel
2019	—	`conf`	Neural Variational Inference For Estimating Knowledge Graph Embedding Uncertainty. NeSy@IJCAI Alexander I. Cowen-Rivers, Pasquale Minervini, Sebastian Riedel, Tim Rocktäschel, Jun Wang, Matko Bosnjak
2019	J	`jnl`	Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings. CoRR Alexander I. Cowen-Rivers, Pasquale Minervini, Tim Rocktäschel, Matko Bosnjak, Sebastian Riedel, Jun Wang
2019	J	`jnl`	Towards Machine-assisted Meta-Studies: The Hubble Constant. CoRR Tom Crossland, Pontus Stenetorp, Sebastian Riedel, Daisuke Kawata, Thomas D. Kitching, Rupert Croft
2019	—	`conf`	Unsupervised Question Answering by Cloze Translation. ACL (1) Patrick Lewis, Ludovic Denoyer, Sebastian Riedel
2019	J	`jnl`	Unsupervised Question Answering by Cloze Translation. CoRR Patrick Lewis, Ludovic Denoyer, Sebastian Riedel
2019	J	`jnl`	Zero-shot Entity Linking with Dense Entity Retrieval. CoRR Ledell Wu, Fabio Petroni, Martin Josifoski, Sebastian Riedel, Luke Zettlemoyer
2018	B	`conf`	Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge. CoNLL Pasquale Minervini, Sebastian Riedel
2018	J	`jnl`	Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge. CoRR Pasquale Minervini, Sebastian Riedel
2018	J	`jnl`	Application of Clinical Concept Embeddings for Heart Failure Prediction in UK EHR data. CoRR Spiros C. Denaxas, Pontus Stenetorp, Sebastian Riedel, Maria Pikoula, Richard J. B. Dobson, Harry Hemingway
2018	—	`conf`	Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on Robustness. NAACL-HLT Vicente Iván Sánchez Carmona, Jeff Mitchell, Sebastian Riedel
2018	J	`jnl`	Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on Robustness. CoRR Vicente Iván Sánchez Carmona, Jeff Mitchell, Sebastian Riedel
2018	J	`jnl`	Constructing Datasets for Multi-hop Reading Comprehension Across Documents. Trans. Assoc. Comput. Linguistics Johannes Welbl, Pontus Stenetorp, Sebastian Riedel
2018	A*	`conf`	Convolutional 2D Knowledge Graph Embeddings. AAAI Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2018	J	`jnl`	Extrapolation in NLP. CoRR Jeff Mitchell, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2018	A*	`conf`	Interpretation of Natural Language Rules in Conversational Machine Reading. EMNLP Marzieh Saeidi, Max Bartolo, Patrick Lewis, Sameer Singh, Tim Rocktäschel, Mike Sheldon, Guillaume Bouchard, Sebastian Riedel
2018	J	`jnl`	Interpretation of Natural Language Rules in Conversational Machine Reading. CoRR Marzieh Saeidi, Max Bartolo, Patrick Lewis, Sameer Singh, Tim Rocktäschel, Mike Sheldon, Guillaume Bouchard, Sebastian Riedel
2018	—	`conf`	Jack the Reader - A Machine Reading Framework. ACL (4) Dirk Weissenborn, Pasquale Minervini, Isabelle Augenstein, Johannes Welbl, Tim Rocktäschel, Matko Bosnjak, Jeff Mitchell, Thomas Demeester, Tim Dettmers, Pontus Stenetorp, Sebastian Riedel
2018	J	`jnl`	Jack the Reader - A Machine Reading Framework. CoRR Dirk Weissenborn, Pasquale Minervini, Tim Dettmers, Isabelle Augenstein, Johannes Welbl, Tim Rocktäschel, Matko Bosnjak, Jeff Mitchell, Thomas Demeester, Pontus Stenetorp, Sebastian Riedel
2018	J	`jnl`	Logical Rule Induction and Theory Learning Using Neural Theorem Proving. CoRR Andres Campero, Aldo Pareja, Tim Klinger, Josh Tenenbaum, Sebastian Riedel
2018	—	`conf`	Numeracy for Language Models: Evaluating and Improving their Ability to Predict Numbers. ACL (1) Georgios P. Spithourakis, Sebastian Riedel
2018	J	`jnl`	Numeracy for Language Models: Evaluating and Improving their Ability to Predict Numbers. CoRR Georgios P. Spithourakis, Sebastian Riedel
2018	J	`jnl`	Question Answering Resources Applied to Slot-Filling. CoRR Jeff Mitchell, Sebastian Riedel
2018	J	`jnl`	Towards Neural Theorem Proving at Scale. CoRR Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel
2018	J	`jnl`	Towards automated clinical coding. Int. J. Medical Informatics Finneas Catling, Georgios P. Spithourakis, Sebastian Riedel
2018	—	`conf`	UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF). FEVER@EMNLP Takuma Yoneda, Jeff Mitchell, Johannes Welbl, Pontus Stenetorp, Sebastian Riedel
2018	A*	`conf`	Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection. EMNLP Sudhanshu Kasewa, Pontus Stenetorp, Sebastian Riedel
2018	J	`jnl`	Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection. CoRR Sudhanshu Kasewa, Pontus Stenetorp, Sebastian Riedel
2018	—	`conf`	Zero-Shot Transfer Learning for Event Extraction. ACL (1) Lifu Huang, Heng Ji, Kyunghyun Cho, Ido Dagan, Sebastian Riedel, Clare R. Voss
2017	B	`conf`	A Supervised Approach to Extractive Summarisation of Scientific Papers. CoNLL Ed Collins, Isabelle Augenstein, Sebastian Riedel
2017	J	`jnl`	A Supervised Approach to Extractive Summarisation of Scientific Papers. CoRR Ed Collins, Isabelle Augenstein, Sebastian Riedel
2017	J	`jnl`	A simple but tough-to-beat baseline for the Fake News Challenge stance detection task. CoRR Benjamin Riedel, Isabelle Augenstein, Georgios P. Spithourakis, Sebastian Riedel
2017	A	`conf`	Adversarial Sets for Regularising Neural Link Predictors. UAI Pasquale Minervini, Thomas Demeester, Tim Rocktäschel, Sebastian Riedel
2017	J	`jnl`	Adversarial Sets for Regularising Neural Link Predictors. CoRR Pasquale Minervini, Thomas Demeester, Tim Rocktäschel, Sebastian Riedel
2017	J	`jnl`	Community Question Answering Platforms vs. Twitter for Predicting Characteristics of Urban Neighbourhoods. CoRR Marzieh Saeidi, Alessandro Venerandi, Licia Capra, Sebastian Riedel
2017	J	`jnl`	Constructing Datasets for Multi-hop Reading Comprehension Across Documents. CoRR Johannes Welbl, Pontus Stenetorp, Sebastian Riedel
2017	J	`jnl`	Convolutional 2D Knowledge Graph Embeddings. CoRR Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2017	—	`conf`	End-to-end Differentiable Proving. NIPS Tim Rocktäschel, Sebastian Riedel
2017	J	`jnl`	End-to-end Differentiable Proving. CoRR Tim Rocktäschel, Sebastian Riedel
2017	—	`conf`	Frustratingly Short Attention Spans in Neural Language Modeling. ICLR (Poster) Michal Daniluk, Tim Rocktäschel, Johannes Welbl, Sebastian Riedel
2017	J	`jnl`	Frustratingly Short Attention Spans in Neural Language Modeling. CoRR Michal Daniluk, Tim Rocktäschel, Johannes Welbl, Sebastian Riedel
2017	—	`conf`	How Well Can We Predict Hypernyms from Word Embeddings? A Dataset-Centric Analysis. EACL (2) Vicente Iván Sánchez Carmona, Sebastian Riedel
2017	J	`jnl`	Knowledge Graph Completion via Complex Tensor Factorization. CoRR Théo Trouillon, Christopher R. Dance, Johannes Welbl, Sebastian Riedel, Éric Gaussier, Guillaume Bouchard
2017	J	`jnl`	Knowledge Graph Completion via Complex Tensor Factorization. J. Mach. Learn. Res. Théo Trouillon, Christopher R. Dance, Éric Gaussier, Johannes Welbl, Sebastian Riedel, Guillaume Bouchard
2017	—	`conf`	Neural Architectures for Fine-grained Entity Type Classification. EACL (1) Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui, Sebastian Riedel
2017	A*	`ed.`	Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, EMNLP 2017, Copenhagen, Denmark, September 9-11, 2017 EMNLP Martha Palmer, Rebecca Hwa, Sebastian Riedel
2017	—	`conf`	Programming With a Differentiable Forth Interpreter. ICLR (Workshop) Matko Bosnjak, Tim Rocktäschel, Jason Naradowsky, Sebastian Riedel
2017	A*	`conf`	Programming with a Differentiable Forth Interpreter. ICML Matko Bosnjak, Tim Rocktäschel, Jason Naradowsky, Sebastian Riedel
2017	—	`conf`	SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications. SemEval@ACL Isabelle Augenstein, Mrinal Das, Sebastian Riedel, Lakshmi Vikraman, Andrew McCallum
2017	J	`jnl`	SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications. CoRR Isabelle Augenstein, Mrinal Das, Sebastian Riedel, Lakshmi Vikraman, Andrew McCallum
2017	—	`conf`	The SUMMA Platform Prototype. EACL (Software Demonstrations) Renars Liepins, Ulrich Germann, Guntis Barzdins, Alexandra Birch, Steve Renals, Susanne Weber, Peggy van der Kreeft, Hervé Bourlard, João Prieto, Ondrej Klejch, Peter Bell, Alexandros Lazaridis, Afonso Mendes, Sebastian Riedel, Mariana S. C. Almeida, Pedro Balage, Shay B. Cohen, Tomasz Dwojak, Philip N. Garner, Andreas Giefer, Marcin Junczys-Dowmunt, Hina Imran, David Nogueira, Ahmed M. Ali, Sebastião Miranda, Andrei Popescu-Belis, Lesly Miculicich Werlen, Nikos Papasarantopoulos, Abiola Obamuyide, Clive Jones, Fahim Dalvi, Andreas Vlachos, Yang Wang, Sibo Tong, Rico Sennrich, Nikolaos Pappas, Shashi Narayan, Marco Damonte, Nadir Durrani, Sameer Khurana, Ahmed Abdelali, Hassan Sajjad, Stephan Vogel, David Sheppey, Chris Hernon, Jeff Mitchell
2016	—	`conf`	A Factorization Machine Framework for Testing Bigram Embeddings in Knowledgebase Completion. AKBC@NAACL-HLT Johannes Welbl, Guillaume Bouchard, Sebastian Riedel
2016	J	`jnl`	A Factorization Machine Framework for Testing Bigram Embeddings in Knowledgebase Completion. CoRR Johannes Welbl, Guillaume Bouchard, Sebastian Riedel
2016	—	`conf`	An Attentive Neural Architecture for Fine-grained Entity Type Classification. AKBC@NAACL-HLT Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui, Sebastian Riedel
2016	J	`jnl`	An Attentive Neural Architecture for Fine-grained Entity Type Classification. CoRR Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui, Sebastian Riedel
2016	—	`conf`	Clinical Text Prediction with Numerically Grounded Conditional Language Models. Louhi@EMNLP Georgios P. Spithourakis, Steffen E. Petersen, Sebastian Riedel
2016	J	`jnl`	Clinical Text Prediction with Numerically Grounded Conditional Language Models. CoRR Georgios P. Spithourakis, Steffen E. Petersen, Sebastian Riedel
2016	A*	`conf`	Complex Embeddings for Simple Link Prediction. ICML Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, Guillaume Bouchard
2016	J	`jnl`	Complex Embeddings for Simple Link Prediction. CoRR Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, Guillaume Bouchard
2016	A*	`conf`	Creating Interactive and Visual Educational Resources for AI. AAAI Sameer Singh, Sebastian Riedel
2016	J	`jnl`	Deep Semi-Supervised Learning with Linguistically Motivated Sequence Labeling Task Hierarchies. CoRR Jonathan Godwin, Pontus Stenetorp, Sebastian Riedel
2016	—	`conf`	Defining Words with Words: Beyond the Distributional Hypothesis. RepEval@ACL Iuliana-Elena Parasca, Andreas Lukas Rauter, Jack Roper, Aleksandar Rusinov, Guillaume Bouchard, Sebastian Riedel, Pontus Stenetorp
2016	J	`jnl`	Generating Natural Language Inference Chains. CoRR Vladyslav Kolesnyk, Tim Rocktäschel, Sebastian Riedel
2016	—	`conf`	Learning Knowledge Base Inference with Neural Theorem Provers. AKBC@NAACL-HLT Tim Rocktäschel, Sebastian Riedel
2016	J	`jnl`	Learning Python Code Suggestion with a Sparse Pointer Network. CoRR Avishkar Bhoopchand, Tim Rocktäschel, Earl T. Barr, Sebastian Riedel
2016	A*	`conf`	Learning to Generate Textual Data. EMNLP Guillaume Bouchard, Pontus Stenetorp, Sebastian Riedel
2016	J	`jnl`	Learning to Reason With Adaptive Computation. CoRR Mark Neumann, Pontus Stenetorp, Sebastian Riedel
2016	A*	`conf`	Lifted Rule Injection for Relation Embeddings. EMNLP Thomas Demeester, Tim Rocktäschel, Sebastian Riedel
2016	J	`jnl`	Lifted Rule Injection for Relation Embeddings. CoRR Thomas Demeester, Tim Rocktäschel, Sebastian Riedel
2016	J	`jnl`	Neural Architectures for Fine-grained Entity Type Classification. CoRR Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui, Sebastian Riedel
2016	A*	`conf`	Numerically Grounded Language Models for Semantic Error Correction. EMNLP Georgios P. Spithourakis, Isabelle Augenstein, Sebastian Riedel
2016	J	`jnl`	Numerically Grounded Language Models for Semantic Error Correction. CoRR Georgios P. Spithourakis, Isabelle Augenstein, Sebastian Riedel
2016	J	`jnl`	Programming with a Differentiable Forth Interpreter. CoRR Sebastian Riedel, Matko Bosnjak, Tim Rocktäschel
2016	—	`conf`	Regularizing Relation Representations by First-order Implications. AKBC@NAACL-HLT Thomas Demeester, Tim Rocktäschel, Sebastian Riedel
2016	J	`jnl`	Represent, Aggregate, and Constrain: A Novel Architecture for Machine Reading from Noisy Sources. CoRR Jason Naradowsky, Sebastian Riedel
2016	B	`conf`	SentiHood: Targeted Aspect Based Sentiment Analysis Dataset for Urban Neighbourhoods. COLING Marzieh Saeidi, Guillaume Bouchard, Maria Liakata, Sebastian Riedel
2016	J	`jnl`	SentiHood: Targeted Aspect Based Sentiment Analysis Dataset for Urban Neighbourhoods. CoRR Marzieh Saeidi, Guillaume Bouchard, Maria Liakata, Sebastian Riedel
2016	—	`conf`	emoji2vec: Learning Emoji Representations from their Description. SocialNLP@EMNLP Ben Eisner, Tim Rocktäschel, Isabelle Augenstein, Matko Bosnjak, Sebastian Riedel
2016	J	`jnl`	emoji2vec: Learning Emoji Representations from their Description. CoRR Ben Eisner, Tim Rocktäschel, Isabelle Augenstein, Matko Bosnjak, Sebastian Riedel
2015	—	`conf`	Extracting Interpretable Models from Matrix Factorization Models. CoCo@NIPS Iván Sánchez Carmona, Sebastian Riedel
2015	J	`jnl`	Extraction of evidence tables from abstracts of randomized clinical trials using a maximum entropy classifier and global constraints. CoRR Antonio Trenta, Anthony Hunter, Sebastian Riedel
2015	A*	`conf`	Identification and Verification of Simple Claims about Statistical Properties. EMNLP Andreas Vlachos, Sebastian Riedel
2015	—	`conf`	Injecting Logical Background Knowledge into Embeddings for Relation Extraction. HLT-NAACL Tim Rocktäschel, Sameer Singh, Sebastian Riedel
2015	—	`conf`	Invited Talk: Embedding Probabilistic Logic for Machine Reading. NODALIDA Sebastian Riedel
2015	—	`conf`	Lower Dimensional Representations of City Neighbourhoods. AAAI Workshop: AI for Cities Marzieh Saeidi, Sebastian Riedel, Licia Capra
2015	—	`conf`	Matrix and Tensor Factorization Methods for Natural Language Processing. ACL (Tutorial Abstracts) Guillaume Bouchard, Jason Naradowsky, Sebastian Riedel, Tim Rocktäschel, Andreas Vlachos
2015	—	`conf`	Towards Combined Matrix and Tensor Factorization for Universal Schema Relation Extraction. VS@HLT-NAACL Sameer Singh, Tim Rocktäschel, Sebastian Riedel
2015	—	`conf`	Towards Extracting Faithful and Descriptive Representations of Latent Variable Models. AAAI Spring Symposia Vicente Iván Sánchez Carmona, Tim Rocktäschel, Sebastian Riedel, Sameer Singh
2015	—	`conf`	Towards Two-Way Interaction with Reading Machines. SLSP Sebastian Riedel, Sameer Singh, Guillaume Bouchard, Tim Rocktäschel, Vicente Iván Sánchez Carmona
2015	—	`conf`	WOLFE: An NLP-friendly Declarative Machine Learning Stack. HLT-NAACL Sameer Singh, Tim Rocktäschel, Luke Hewitt, Jason Naradowsky, Sebastian Riedel
2014	—	`conf`	Fact Checking: Task definition and dataset construction. LTCSS@ACL Andreas Vlachos, Sebastian Riedel
2014	A	`conf`	Message Passing for Soft Constraint Dual Decomposition. UAI David Belanger, Alexandre Passos, Sebastian Riedel, Andrew McCallum
2014	—	`conf`	WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming. StarAI@AAAI Sebastian Riedel, Sameer Singh, Vivek Srikumar, Tim Rocktäschel, Larysa Visengeriyeva, Jan Noessner
2013	A	`conf`	AKBC 2013: third workshop on automated knowledge base construction. CIKM Fabian M. Suchanek, Sebastian Riedel, Sameer Singh, Partha Pratim Talukdar
2013	J	`jnl`	Anytime Belief Propagation Using Sparse Domains. CoRR Sameer Singh, Sebastian Riedel, Andrew McCallum
2013	A	`conf`	Automorphism Groups of Graphical Models and Lifted Variational Inference. UAI Hung Bui, Tuyen N. Huynh, Sebastian Riedel
2013	J	`jnl`	Automorphism Groups of Graphical Models and Lifted Variational Inference. CoRR Hung Bui, Tuyen N. Huynh, Sebastian Riedel
2013	—	`conf`	Joint inference of entities, relations, and coreference. AKBC@CIKM Sameer Singh, Sebastian Riedel, Brian Martin, Jiaping Zheng, Andrew McCallum
2013	—	`conf`	Latent Relation Representations for Universal Schemas ICLR (Workshop Poster) Sebastian Riedel, Limin Yao, Andrew McCallum
2013	—	`ed.`	Proceedings of the 2013 workshop on Automated knowledge base construction, AKBC@CIKM 13, San Francisco, California, USA, October 27-28, 2013 AKBC@CIKM Fabian M. Suchanek, Sebastian Riedel, Sameer Singh, Partha Pratim Talukdar
2013	B	`ed.`	Proceedings of the Seventeenth Conference on Computational Natural Language Learning, CoNLL 2013, Sofia, Bulgaria, August 8-9, 2013 CoNLL Julia Hockenmaier, Sebastian Riedel
2013	—	`conf`	Relation Extraction with Matrix Factorization and Universal Schemas. HLT-NAACL Sebastian Riedel, Limin Yao, Andrew McCallum, Benjamin M. Marlin
2013	—	`conf`	Universal schema for entity type prediction. AKBC@CIKM Limin Yao, Sebastian Riedel, Andrew McCallum
2012	J	`jnl`	Automorphism Groups of Graphical Models and Lifted Variational Inference CoRR Hung Hai Bui, Tuyen N. Huynh, Sebastian Riedel
2012	—	`conf`	Automorphism Groups of Graphical Models and Lifted Variational Inference. StarAI@UAI Hung Hai Bui, Tuyen N. Huynh, Sebastian Riedel
2012	J	`jnl`	Combining joint models for biomedical event extraction. BMC Bioinform. David McClosky, Sebastian Riedel, Mihai Surdeanu, Andrew McCallum, Christopher D. Manning
2012	—	`conf`	Improving NLP through Marginalization of Hidden Syntactic Structure. EMNLP-CoNLL Jason Naradowsky, Sebastian Riedel, David A. Smith
2012	J	`jnl`	Improving the Accuracy and Efficiency of MAP Inference for Markov Logic CoRR Sebastian Riedel
2012	J	`jnl`	Inference by Minimizing Size, Divergence, or their Sum CoRR Sebastian Riedel, David A. Smith, Andrew McCallum
2012	—	`conf`	MAP Inference in Chains using Column Generation. NIPS David Belanger, Alexandre Passos, Sebastian Riedel, Andrew McCallum
2012	—	`conf`	Parse, Price and Cut--Delayed Column and Row Generation for Graph Based Parsers. EMNLP-CoNLL Sebastian Riedel, David A. Smith, Andrew McCallum
2012	—	`conf`	Probabilistic Databases of Universal Schema. AKBC-WEKEX@NAACL-HLT Limin Yao, Sebastian Riedel, Andrew McCallum
2012	—	`ed.`	Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, AKBC-WEKEX@NAACL-HLT 2012, Montrèal, Canada, June 7-8, 2012 AKBC-WEKEX@NAACL-HLT James Fan, Raphael Hoffman, Aditya Kalyanpur, Sebastian Riedel, Fabian M. Suchanek, Partha Pratim Talukdar
2012	—	`conf`	Unsupervised Relation Discovery with Sense Disambiguation. ACL (1) Limin Yao, Sebastian Riedel, Andrew McCallum
2011	J	`jnl`	Bio-molecular Event Extraction with Markov Logic. Comput. Intell. Sebastian Riedel, Rune Sætre, Hong-Woo Chun, Toshihisa Takagi, Jun'ichi Tsujii
2011	J	`jnl`	Coreference based event-argument relation extraction on biomedical text. J. Biomed. Semant. Katsumasa Yoshikawa, Sebastian Riedel, Tsutomu Hirao, Masayuki Asahara, Yuji Matsumoto
2011	A*	`conf`	Fast and Robust Joint Models for Biomedical Event Extraction. EMNLP Sebastian Riedel, Andrew McCallum
2011	J	`jnl`	Knowledge-leveraged Computational Thinking through Natural Language Processing and Statistical Logic (NII Shonan Meeting 2011-4). NII Shonan Meet. Rep. Sadao Kurohashi, Akihiro Yamamoto, Kentaro Inui, Sebastian Riedel
2011	—	`conf`	Model Combination for Event Extraction in BioNLP 2011. BioNLP@ACL (Shared Task) Sebastian Riedel, David McClosky, Mihai Surdeanu, Andrew McCallum, Christopher D. Manning
2011	—	`conf`	Robust Biomedical Event Extraction with Dual Decomposition and Minimal Domain Adaptation. BioNLP@ACL (Shared Task) Sebastian Riedel, Andrew McCallum
2011	A*	`conf`	Structured Relation Discovery using Generative Models. EMNLP Limin Yao, Aria Haghighi, Sebastian Riedel, Andrew McCallum
2011	J	`jnl`	U-Compare bio-event meta-service: compatible BioNLP event extraction services. BMC Bioinform. Yoshinobu Kano, Jari Björne, Filip Ginter, Tapio Salakoski, Ekaterina Buyko, Udo Hahn, K. Bretonnel Cohen, Karin Verspoor, Christophe Roeder, Lawrence E. Hunter, Halil Kilicoglu, Sabine Bergler, Sofie Van Landeghem, Thomas Van Parys, Yves Van de Peer, Makoto Miwa, Sophia Ananiadou, Mariana L. Neves, Alberto D. Pascual-Montano, Arzucan Özgür, Dragomir R. Radev, Sebastian Riedel, Rune Sætre, Hong-Woo Chun, Jin-Dong Kim, Sampo Pyysalo, Tomoko Ohta, Jun'ichi Tsujii
2010	A*	`conf`	Collective Cross-Document Relation Extraction Without Labelled Data. EMNLP Limin Yao, Sebastian Riedel, Andrew McCallum
2010	—	`conf`	Constraint-Driven Rank-Based Learning for Information Extraction. HLT-NAACL Sameer Singh, Limin Yao, Sebastian Riedel, Andrew McCallum
2010	—	`conf`	Coreference based event-argument relation extraction on biomedical text. Semantic Mining in Biomedicine Katsumasa Yoshikawa, Sebastian Riedel, Tsutomu Hirao, Masayuki Asahara, Yuji Matsumoto
2010	—	`conf`	Declarative Probabilistic Programming for Undirected Graphical Models: Open Up to Scale Up. StarAI@AAAI Sebastian Riedel
2010	A	`conf`	Inference by Minimizing Size, Divergence, or their Sum. UAI Sebastian Riedel, David A. Smith, Andrew McCallum
2010	—	`conf`	Modeling Relations and Their Mentions without Labeled Text. ECML/PKDD (3) Sebastian Riedel, Limin Yao, Andrew McCallum
2010	—	`conf`	Relaxed Marginal Inference and its Application to Dependency Parsing. HLT-NAACL Sebastian Riedel, David A. Smith
2009	—	`conf`	A Markov Logic Approach to Bio-Molecular Event Extraction. BioNLP@HLT-NAACL (Shared Task) Sebastian Riedel, Hong-Woo Chun, Toshihisa Takagi, Jun'ichi Tsujii
2009	—	`conf`	Cutting Plane MAP Inference for Markov Logic. MLG/SRL@ILP Sebastian Riedel
2009	—	`—`	Efficient prediction of relational structure and its application to natural language processing. Sebastian Riedel
2009	—	`conf`	Jointly Identifying Predicates, Arguments and Senses using Markov Logic. HLT-NAACL Iván V. Meza-Ruíz, Sebastian Riedel
2009	—	`conf`	Jointly Identifying Temporal Relations with Markov Logic. ACL/IJCNLP Katsumasa Yoshikawa, Sebastian Riedel, Masayuki Asahara, Yuji Matsumoto
2009	—	`conf`	Multilingual Semantic Role Labelling with Markov Logic. CoNLL Shared Task Iván V. Meza-Ruíz, Sebastian Riedel
2009	—	`conf`	Revisiting Optimal Decoding for Machine Translation IBM Model 4. HLT-NAACL (Short Papers) Sebastian Riedel, James Clarke
2008	Misc	`conf`	Accurate statistical spoken language understanding from limited development resources. ICASSP Iván V. Meza-Ruíz, Sebastian Riedel, Oliver Lemon
2008	B	`conf`	Collective Semantic Role Labelling with Markov Logic. CoNLL Sebastian Riedel, Iván V. Meza-Ruíz
2008	A	`conf`	Improving the Accuracy and Efficiency of MAP Inference for Markov Logic. UAI Sebastian Riedel
2007	—	`conf`	The CoNLL 2007 Shared Task on Dependency Parsing. EMNLP-CoNLL Joakim Nivre, Johan Hall, Sandra Kübler, Ryan T. McDonald, Jens Nilsson, Sebastian Riedel, Deniz Yuret
2006	A*	`conf`	Incremental Integer Linear Programming for Non-projective Dependency Parsing. EMNLP Sebastian Riedel, James Clarke
2006	B	`conf`	Multi-lingual Dependency Parsing with Incremental Integer Linear Programming. CoNLL Sebastian Riedel, Ruket Çakici, Iván V. Meza-Ruíz