Roy Schwartz - RankMe

115 papers A* 15B 5Journal 64Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	How Quantization Shapes Bias in Large Language Models. EACL (Volume 1: Long Papers) Federico Marcuzzi, Xuefei Ning, Roy Schwartz, Iryna Gurevych
2025	J	`jnl`	Accelerating LLM Inference with Lossless Speculative Decoding Algorithms for Heterogeneous Vocabularies. CoRR Nadav Timor, Jonathan Mamou, Daniel Korat, Moshe Berchansky, Oren Pereg, Gaurav Jain, Roy Schwartz, Moshe Wasserblat, David Harel
2025	—	`conf`	Context Length Alone Hurts LLM Performance Despite Perfect Retrieval. EMNLP (Findings) Yufeng Du, Minyang Tian, Srikanth Ronanki, Subendhu Rongali, Sravan Babu Bodapati, Aram Galstyan, Azton Wells, Roy Schwartz, Eliu A. Huerta, Hao Peng
2025	J	`jnl`	Context Length Alone Hurts LLM Performance Despite Perfect Retrieval. CoRR Yufeng Du, Minyang Tian, Srikanth Ronanki, Subendhu Rongali, Sravan Bodapati, Aram Galstyan, Azton Wells, Roy Schwartz, Eliu A. Huerta, Hao Peng
2025	J	`jnl`	Don't Overthink it. Preferring Shorter Thinking Chains for Improved LLM Reasoning. CoRR Michael Hassid, Gabriel Synnaeve, Yossi Adi, Roy Schwartz
2025	J	`jnl`	Follow the Flow: On Information Flow Across Textual Tokens in Text-to-Image Models. CoRR Guy Kaplan, Michael Toker, Yuval Reif, Yonatan Belinkov, Roy Schwartz
2025	A*	`conf`	From Tokens to Words: On the Inner Lexicon of LLMs. ICLR Guy Kaplan, Matanel Oren, Yuval Reif, Roy Schwartz
2025	J	`jnl`	How Quantization Shapes Bias in Large Language Models. CoRR Federico Marcuzzi, Xuefei Ning, Roy Schwartz, Iryna Gurevych
2025	A*	`conf`	On Pruning State-Space LLMs. EMNLP Tamer Ghattas, Michael Hassid, Roy Schwartz
2025	J	`jnl`	On Pruning State-Space LLMs. CoRR Tamer Ghattas, Michael Hassid, Roy Schwartz
2025	J	`jnl`	SpeLLM: Character-Level Multi-Head Decoding. CoRR Amit Ben Artzy, Roy Schwartz
2025	J	`jnl`	Vocab Diet: Reshaping the Vocabulary of LLMs with Vector Arithmetic. CoRR Yuval Reif, Guy Kaplan, Roy Schwartz
2024	J	`jnl`	Accelerating Speculative Decoding using Dynamic Speculation Length. CoRR Jonathan Mamou, Oren Pereg, Daniel Korat, Moshe Berchansky, Nadav Timor, Moshe Wasserblat, Roy Schwartz
2024	J	`jnl`	Attend First, Consolidate Later: On the Importance of Attention in Different LLM Layers. CoRR Amit Ben Artzy, Roy Schwartz
2024	—	`conf`	Beyond Performance: Quantifying and Mitigating Label Bias in LLMs. NAACL-HLT Yuval Reif, Roy Schwartz
2024	J	`jnl`	Beyond Performance: Quantifying and Mitigating Label Bias in LLMs. CoRR Yuval Reif, Roy Schwartz
2024	—	`conf`	Dynamic Speculation Lookahead Accelerates Speculative Decoding of Large Language Models. ENLSP Jonathan Mamou, Oren Pereg, Daniel Korat, Moshe Berchansky, Nadav Timor, Moshe Wasserblat, Roy Schwartz
2024	J	`jnl`	From Tokens to Words: On the Inner Lexicon of LLMs. CoRR Guy Kaplan, Matanel Oren, Yuval Reif, Roy Schwartz
2024	J	`jnl`	Morphosyntactic probing of multilingual BERT models. Nat. Lang. Eng. Judit Ács, Endre Hamerlik, Roy Schwartz, Noah A. Smith, András Kornai
2024	J	`jnl`	The Larger the Better? Improved LLM Code-Generation via Budget Reallocation. CoRR Michael Hassid, Tal Remez, Jonas Gehring, Roy Schwartz, Yossi Adi
2024	A*	`conf`	Transformers are Multi-State RNNs. EMNLP Matanel Oren, Michael Hassid, Yarden Nir, Yossi Adi, Roy Schwartz
2024	J	`jnl`	Transformers are Multi-State RNNs. CoRR Matanel Oren, Michael Hassid, Yossi Adi, Roy Schwartz
2024	J	`jnl`	What Can Natural Language Processing Do for Peer Review? CoRR Ilia Kuznetsov, Osama Mohammed Afzal, Koen Dercksen, Nils Dycke, Alexander Goldberg, Tom Hope, Dirk Hovy, Jonathan K. Kummerfeld, Anne Lauscher, Kevin Leyton-Brown, Sheng Lu, Mausam, Margot Mieskes, Aurélie Névéol, Danish Pruthi, Lizhen Qu, Roy Schwartz, Noah A. Smith, Thamar Solorio, Jingyan Wang, Xiaodan Zhu, Anna Rogers, Nihar B. Shah, Iryna Gurevych
2023	A*	`conf`	Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images. ICCV Nitzan Bitton Guetta, Yonatan Bitton, Jack Hessel, Ludwig Schmidt, Yuval Elovici, Gabriel Stanovsky, Roy Schwartz
2023	J	`jnl`	Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images. CoRR Nitzan Bitton Guetta, Yonatan Bitton, Jack Hessel, Ludwig Schmidt, Yuval Elovici, Gabriel Stanovsky, Roy Schwartz
2023	—	`conf`	Curating Datasets for Better Performance with Example Training Dynamics. ACL (Findings) Aviad Sar-Shalom, Roy Schwartz
2023	J	`jnl`	Efficient Methods for Natural Language Processing: A Survey. Trans. Assoc. Comput. Linguistics Marcos V. Treviso, Ji-Ung Lee, Tianchu Ji, Betty van Aken, Qingqing Cao, Manuel R. Ciosici, Michael Hassid, Kenneth Heafield, Sara Hooker, Colin Raffel, Pedro Henrique Martins, André F. T. Martins, Jessica Zosa Forde, Peter A. Milder, Edwin Simpson, Noam Slonim, Jesse Dodge, Emma Strubell, Niranjan Balasubramanian, Leon Derczynski, Iryna Gurevych, Roy Schwartz
2023	—	`conf`	Fighting Bias With Bias: Promoting Model Robustness by Amplifying Dataset Biases. ACL (Findings) Yuval Reif, Roy Schwartz
2023	J	`jnl`	Fighting Bias with Bias: Promoting Model Robustness by Amplifying Dataset Biases. CoRR Yuval Reif, Roy Schwartz
2023	—	`conf`	Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings. ACL (1) Daniel Rotem, Michael Hassid, Jonathan Mamou, Roy Schwartz
2023	J	`jnl`	Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings. CoRR Daniel Rotem, Michael Hassid, Jonathan Mamou, Roy Schwartz
2023	J	`jnl`	Morphosyntactic probing of multilingual BERT models. CoRR Judit Ács, Endre Hamerlik, Roy Schwartz, Noah A. Smith, András Kornai
2023	J	`jnl`	Read, Look or Listen? What's Needed for Solving a Multimodal Dataset. CoRR Netta Madvil, Yonatan Bitton, Roy Schwartz
2023	J	`jnl`	Surveying (Dis)Parities and Concerns of Compute Hungry NLP Research. CoRR Ji-Ung Lee, Haritz Puerto, Betty van Aken, Yuki Arase, Jessica Zosa Forde, Leon Derczynski, Andreas Rücklé, Iryna Gurevych, Roy Schwartz, Emma Strubell, Jesse Dodge
2023	A*	`conf`	Textually Pretrained Speech Language Models. NeurIPS Michael Hassid, Tal Remez, Tu Anh Nguyen, Itai Gat, Alexis Conneau, Felix Kreuk, Jade Copet, Alexandre Défossez, Gabriel Synnaeve, Emmanuel Dupoux, Roy Schwartz, Yossi Adi
2023	J	`jnl`	Textually Pretrained Speech Language Models. CoRR Michael Hassid, Tal Remez, Tu Anh Nguyen, Itai Gat, Alexis Conneau, Felix Kreuk, Jade Copet, Alexandre Défossez, Gabriel Synnaeve, Emmanuel Dupoux, Roy Schwartz, Yossi Adi
2023	A*	`conf`	VASR: Visual Analogies of Situation Recognition. AAAI Yonatan Bitton, Ron Yosef, Eliyahu Strugo, Dafna Shahaf, Roy Schwartz, Gabriel Stanovsky
2022	—	`conf`	ABC: Attention with Bounded-memory Control. ACL (1) Hao Peng, Jungo Kasai, Nikolaos Pappas, Dani Yogatama, Zhaofeng Wu, Lingpeng Kong, Roy Schwartz, Noah A. Smith
2022	—	`conf`	Data Contamination: From Memorization to Exploitation. ACL (2) Inbal Magar, Roy Schwartz
2022	J	`jnl`	Data Contamination: From Memorization to Exploitation. CoRR Inbal Magar, Roy Schwartz
2022	J	`jnl`	Efficient Methods for Natural Language Processing: A Survey. CoRR Marcos V. Treviso, Tianchu Ji, Ji-Ung Lee, Betty van Aken, Qingqing Cao, Manuel R. Ciosici, Michael Hassid, Kenneth Heafield, Sara Hooker, Pedro Henrique Martins, André F. T. Martins, Peter A. Milder, Colin Raffel, Edwin Simpson, Noam Slonim, Niranjan Balasubramanian, Leon Derczynski, Roy Schwartz
2022	J	`jnl`	Efficient and Equitable Natural Language Processing in the Age of Deep Learning (Dagstuhl Seminar 22232). Dagstuhl Reports Jesse Dodge, Iryna Gurevych, Roy Schwartz, Emma Strubell, Betty van Aken
2022	J	`jnl`	Fewer Errors, but More Stereotypes? The Effect of Model Size on Gender Bias. CoRR Yarden Tal, Inbal Magar, Roy Schwartz
2022	—	`conf`	How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers. EMNLP (Findings) Michael Hassid, Hao Peng, Daniel Rotem, Jungo Kasai, Ivan Montero, Noah A. Smith, Roy Schwartz
2022	J	`jnl`	How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers. CoRR Michael Hassid, Hao Peng, Daniel Rotem, Jungo Kasai, Ivan Montero, Noah A. Smith, Roy Schwartz
2022	—	`conf`	Measuring the Carbon Intensity of AI in Cloud Instances. FAccT Jesse Dodge, Taylor Prewitt, Remi Tachet des Combes, Erika Odmark, Roy Schwartz, Emma Strubell, Alexandra Sasha Luccioni, Noah A. Smith, Nicole DeCario, Will Buchanan
2022	J	`jnl`	Measuring the Carbon Intensity of AI in Cloud Instances. CoRR Jesse Dodge, Taylor Prewitt, Remi Tachet des Combes, Erika Odmark, Roy Schwartz, Emma Strubell, Alexandra Sasha Luccioni, Noah A. Smith, Nicole DeCario, Will Buchanan
2022	—	`conf`	On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations. NAACL-HLT (Findings) Roy Schwartz, Gabriel Stanovsky
2022	J	`jnl`	On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations. CoRR Roy Schwartz, Gabriel Stanovsky
2022	J	`jnl`	TangoBERT: Reducing Inference Cost by using Cascaded Architecture. CoRR Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Roy Schwartz
2022	J	`jnl`	VASR: Visual Analogies of Situation Recognition. CoRR Yonatan Bitton, Ron Yosef, Eli Strugo, Dafna Shahaf, Roy Schwartz, Gabriel Stanovsky
2022	A*	`conf`	WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models. NeurIPS Yonatan Bitton, Nitzan Bitton Guetta, Ron Yosef, Yuval Elovici, Mohit Bansal, Gabriel Stanovsky, Roy Schwartz
2022	J	`jnl`	WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models. CoRR Yonatan Bitton, Nitzan Bitton Guetta, Ron Yosef, Yuval Elovici, Mohit Bansal, Gabriel Stanovsky, Roy Schwartz
2021	J	`jnl`	ABC: Attention with Bounded-memory Control. CoRR Hao Peng, Jungo Kasai, Nikolaos Pappas, Dani Yogatama, Zhaofeng Wu, Lingpeng Kong, Roy Schwartz, Noah A. Smith
2021	—	`conf`	Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQA. NAACL-HLT Yonatan Bitton, Gabriel Stanovsky, Roy Schwartz, Michael Elhadad
2021	J	`jnl`	Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQA. CoRR Yonatan Bitton, Gabriel Stanovsky, Roy Schwartz, Michael Elhadad
2021	—	`conf`	Data Efficient Masked Language Modeling for Vision and Language. EMNLP (Findings) Yonatan Bitton, Michael Elhadad, Gabriel Stanovsky, Roy Schwartz
2021	J	`jnl`	Data Efficient Masked Language Modeling for Vision and Language. CoRR Yonatan Bitton, Gabriel Stanovsky, Michael Elhadad, Roy Schwartz
2021	—	`conf`	Effects of Parameter Norm Growth During Transformer Training: Inductive Bias from Gradient Descent. EMNLP (1) William Merrill, Vivek Ramanujan, Yoav Goldberg, Roy Schwartz, Noah A. Smith
2021	—	`conf`	Expected Validation Performance and Estimation of a Random Variable's Maximum. EMNLP (Findings) Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith
2021	J	`jnl`	Expected Validation Performance and Estimation of a Random Variable's Maximum. CoRR Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith
2021	—	`conf`	Extracting a Knowledge Base of Mechanisms from COVID-19 Papers. NAACL-HLT Tom Hope, Aida Amini, David Wadden, Madeleine van Zuylen, Sravanthi Parasa, Eric Horvitz, Daniel S. Weld, Roy Schwartz, Hannaneh Hajishirzi
2021	J	`jnl`	On the Power of Saturated Transformers: A View from Circuit Complexity. CoRR William Merrill, Yoav Goldberg, Roy Schwartz, Noah A. Smith
2021	J	`jnl`	Provable Limitations of Acquiring Meaning from Ungrounded Form: What Will Future Language Models Understand? Trans. Assoc. Comput. Linguistics William Merrill, Yoav Goldberg, Roy Schwartz, Noah A. Smith
2021	J	`jnl`	Provable Limitations of Acquiring Meaning from Ungrounded Form: What will Future Language Models Understand? CoRR William Merrill, Yoav Goldberg, Roy Schwartz, Noah A. Smith
2021	A*	`conf`	Random Feature Attention. ICLR Hao Peng, Nikolaos Pappas, Dani Yogatama, Roy Schwartz, Noah A. Smith, Lingpeng Kong
2021	J	`jnl`	Random Feature Attention. CoRR Hao Peng, Nikolaos Pappas, Dani Yogatama, Roy Schwartz, Noah A. Smith, Lingpeng Kong
2020	A*	`conf`	A Formal Hierarchy of RNN Architectures. ACL William Merrill, Gail Weiss, Yoav Goldberg, Roy Schwartz, Noah A. Smith, Eran Yahav
2020	J	`jnl`	A Formal Hierarchy of RNN Architectures. CoRR William Merrill, Gail Weiss, Yoav Goldberg, Roy Schwartz, Noah A. Smith, Eran Yahav
2020	A*	`conf`	A Mixture of h - 1 Heads is Better than h Heads. ACL Hao Peng, Roy Schwartz, Dianqi Li, Noah A. Smith
2020	J	`jnl`	A Mixture of h-1 Heads is Better than h Heads. CoRR Hao Peng, Roy Schwartz, Dianqi Li, Noah A. Smith
2020	—	`conf`	Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics. EMNLP (1) Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, Yejin Choi
2020	J	`jnl`	Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics. CoRR Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, Yejin Choi
2020	J	`jnl`	Extracting a Knowledge Base of Mechanisms from COVID-19 Papers. CoRR Aida Amini, Tom Hope, David Wadden, Madeleine van Zuylen, Eric Horvitz, Roy Schwartz, Hannaneh Hajishirzi
2020	J	`jnl`	Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping. CoRR Jesse Dodge, Gabriel Ilharco, Roy Schwartz, Ali Farhadi, Hannaneh Hajishirzi, Noah A. Smith
2020	J	`jnl`	Green AI. Commun. ACM Roy Schwartz, Jesse Dodge, Noah A. Smith, Oren Etzioni
2020	J	`jnl`	Parameter Norm Growth During Training of Transformers. CoRR William Merrill, Vivek Ramanujan, Yoav Goldberg, Roy Schwartz, Noah A. Smith
2020	A*	`conf`	The Right Tool for the Job: Matching Model and Instance Complexities. ACL Roy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta, Jesse Dodge, Noah A. Smith
2020	J	`jnl`	The Right Tool for the Job: Matching Model and Instance Complexities. CoRR Roy Schwartz, Gabi Stanovsky, Swabha Swayamdipta, Jesse Dodge, Noah A. Smith
2019	J	`jnl`	Green AI. CoRR Roy Schwartz, Jesse Dodge, Noah A. Smith, Oren Etzioni
2019	—	`conf`	Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets. NAACL-HLT (1) Nelson F. Liu, Roy Schwartz, Noah A. Smith
2019	J	`jnl`	Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets. CoRR Nelson F. Liu, Roy Schwartz, Noah A. Smith
2019	—	`conf`	Knowledge Enhanced Contextual Word Representations. EMNLP/IJCNLP (1) Matthew E. Peters, Mark Neumann, Robert L. Logan IV, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith
2019	J	`jnl`	Knowledge Enhanced Contextual Word Representations. CoRR Matthew E. Peters, Mark Neumann, Robert L. Logan IV, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith
2019	—	`conf`	PaLM: A Hybrid Parser and Language Model. EMNLP/IJCNLP (1) Hao Peng, Roy Schwartz, Noah A. Smith
2019	J	`jnl`	PaLM: A Hybrid Parser and Language Model. CoRR Hao Peng, Roy Schwartz, Noah A. Smith
2019	—	`conf`	RNN Architecture Learning with Sparse Regularization. EMNLP/IJCNLP (1) Jesse Dodge, Roy Schwartz, Hao Peng, Noah A. Smith
2019	J	`jnl`	RNN Architecture Learning with Sparse Regularization. CoRR Jesse Dodge, Roy Schwartz, Hao Peng, Noah A. Smith
2019	—	`conf`	Show Your Work: Improved Reporting of Experimental Results. EMNLP/IJCNLP (1) Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith
2019	J	`jnl`	Show Your Work: Improved Reporting of Experimental Results. CoRR Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith
2018	—	`conf`	A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications. NAACL-HLT Dongyeop Kang, Waleed Ammar, Bhavana Dalvi, Madeleine van Zuylen, Sebastian Kohlmeier, Eduard H. Hovy, Roy Schwartz
2018	J	`jnl`	A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications. CoRR Dongyeop Kang, Waleed Ammar, Bhavana Dalvi, Madeleine van Zuylen, Sebastian Kohlmeier, Eduard H. Hovy, Roy Schwartz
2018	—	`conf`	Annotation Artifacts in Natural Language Inference Data. NAACL-HLT (2) Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel R. Bowman, Noah A. Smith
2018	J	`jnl`	Annotation Artifacts in Natural Language Inference Data. CoRR Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel R. Bowman, Noah A. Smith
2018	—	`conf`	Bridging CNNs, RNNs, and Weighted Finite-State Machines. ACL (1) Roy Schwartz, Sam Thomson, Noah A. Smith
2018	—	`conf`	LSTMs Exploit Linguistic Attributes of Data. Rep4NLP@ACL Nelson F. Liu, Omer Levy, Roy Schwartz, Chenhao Tan, Noah A. Smith
2018	J	`jnl`	LSTMs Exploit Linguistic Attributes of Data. CoRR Nelson F. Liu, Omer Levy, Roy Schwartz, Chenhao Tan, Noah A. Smith
2018	A*	`conf`	Rational Recurrences. EMNLP Hao Peng, Roy Schwartz, Sam Thomson, Noah A. Smith
2018	J	`jnl`	Rational Recurrences. CoRR Hao Peng, Roy Schwartz, Sam Thomson, Noah A. Smith
2018	A*	`conf`	SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference. EMNLP Rowan Zellers, Yonatan Bisk, Roy Schwartz, Yejin Choi
2018	J	`jnl`	SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference. CoRR Rowan Zellers, Yonatan Bisk, Roy Schwartz, Yejin Choi
2018	J	`jnl`	SoPa: Bridging CNNs, RNNs, and Weighted Finite-State Machines. CoRR Roy Schwartz, Sam Thomson, Noah A. Smith
2017	B	`conf`	Automatic Selection of Context Configurations for Improved Class-Specific Word Representations. CoNLL Ivan Vulic, Roy Schwartz, Ari Rappoport, Roi Reichart, Anna Korhonen
2017	—	`conf`	Story Cloze Task: UW NLP System. LSDSem@EACL Roy Schwartz, Maarten Sap, Ioannis Konstas, Leila Zilles, Yejin Choi, Noah A. Smith
2017	B	`conf`	The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task. CoNLL Roy Schwartz, Maarten Sap, Ioannis Konstas, Leila Zilles, Yejin Choi, Noah A. Smith
2017	J	`jnl`	The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task. CoRR Roy Schwartz, Maarten Sap, Ioannis Konstas, Leila Zilles, Yejin Choi, Noah A. Smith
2016	J	`jnl`	Automatic Selection of Context Configurations for Improved (and Fast) Class-Specific Word Representations. CoRR Ivan Vulic, Roy Schwartz, Ari Rappoport, Roi Reichart, Anna Korhonen
2016	—	`—`	Pattern-Based methods for Improved Lexical Semantics and Word Embeddings (שער נוסף בעברית: : שיטות מבוססות תבניות לשיפור סמנטיקה לקסיקלית ושיכוני מילים.). Roy Schwartz
2016	—	`conf`	Symmetric Patterns and Coordinations: Fast and Enhanced Representations of Verbs and Adjectives. HLT-NAACL Roy Schwartz, Roi Reichart, Ari Rappoport
2015	—	`conf`	How Well Do Distributional Models Capture Different Types of Semantic Knowledge? ACL (2) Dana Rubinstein, Effi Levi, Roy Schwartz, Ari Rappoport
2015	B	`conf`	Symmetric Pattern Based Word Embeddings for Improved Word Similarity Prediction. CoNLL Roy Schwartz, Roi Reichart, Ari Rappoport
2014	B	`conf`	Minimally Supervised Classification to Semantic Categories using Automatically Acquired Symmetric Patterns. COLING Roy Schwartz, Roi Reichart, Ari Rappoport
2013	A*	`conf`	Authorship Attribution of Micro-Messages. EMNLP Roy Schwartz, Oren Tsur, Ari Rappoport, Moshe Koppel
2012	B	`conf`	Learnability-Based Syntactic Annotation Design. COLING Roy Schwartz, Omri Abend, Ari Rappoport
2011	A*	`conf`	Neutralizing Linguistically Problematic Annotations in Unsupervised Dependency Parsing Evaluation. ACL Roy Schwartz, Omri Abend, Roi Reichart, Ari Rappoport