Miguel Ballesteros

144 papers A* 9A 5B 10Journal 68Unranked 52

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Barriers to Discrete Reasoning with Transformers: A Survey Across Depth, Exactness, and Bandwidth. EACL (Volume 1: Long Papers) Michelle Yuan, Weiyi Sun, Amir Rezaeian, Jyotika Singh, Sandip Ghoshal, Yao-Ting Wang, Miguel Ballesteros, Yassine Benajiba
2026	J	`jnl`	Barriers to Discrete Reasoning with Transformers: A Survey Across Depth, Exactness, and Bandwidth. CoRR Michelle Yuan, Weiyi Sun, Amir Rezaeian, Jyotika Singh, Sandip Ghoshal, Yao-Ting Wang, Miguel Ballesteros, Yassine Benajiba
2026	J	`jnl`	Budget-Aware Anytime Reasoning with LLM-Synthesized Preference Data. CoRR Xuanming Zhang, Shwan Ashrafi, Aziza Mirsaidova, Amir Rezaeian, Miguel Ballesteros, Lydia B. Chilton, Zhou Yu, Dan Roth
2025	A*	`conf`	Active Evaluation Acquisition for Efficient LLM Benchmarking. ICML Yang Li, Jie Ma, Miguel Ballesteros, Yassine Benajiba, Graham Horwood
2025	—	`conf`	MetaSynth: Meta-Prompting-Driven Agentic Scaffolds for Diverse Synthetic Data Generation. ACL (Findings) Haris Riaz, Sourav Sanjukta Bhabesh, Vinayak Arannil, Miguel Ballesteros, Graham Horwood
2025	J	`jnl`	MetaSynth: Meta-Prompting-Driven Agentic Scaffolds for Diverse Synthetic Data Generation. CoRR Haris Riaz, Sourav Sanjukta Bhabesh, Vinayak Arannil, Miguel Ballesteros, Graham Horwood
2025	J	`jnl`	Play Favorites: A Statistical Method to Measure Self-Bias in LLM-as-a-Judge. CoRR Evangelia Spiliopoulou, Riccardo Fogliato, Hanna Burnsky, Tamer Soliman, Jie Ma, Graham Horwood, Miguel Ballesteros
2025	J	`jnl`	Tree-based Dialogue Reinforced Policy Optimization for Red-Teaming Attacks. CoRR Ruohao Guo, Afshin Oroojlooy, Roshan Sridhar, Miguel Ballesteros, Alan Ritter, Dan Roth
2025	—	`conf`	Unraveling and Mitigating Safety Alignment Degradation of Vision-Language Models. ACL (Findings) Qin Liu, Chao Shang, Ling Liu, Nikolaos Pappas, Jie Ma, Neha Anna John, Srikanth Doss, Lluís Màrquez, Miguel Ballesteros, Yassine Benajiba
2024	—	`conf`	A Weak Supervision Approach for Few-Shot Aspect Based Sentiment Analysis. EACL (1) Robert Vacareanu, Siddharth Varia, Kishaloy Halder, Shuai Wang, Giovanni Paolini, Neha Anna John, Miguel Ballesteros, Smaranda Muresan
2024	J	`jnl`	Active Evaluation Acquisition for Efficient LLM Benchmarking. CoRR Yang Li, Jie Ma, Miguel Ballesteros, Yassine Benajiba, Graham Horwood
2024	J	`jnl`	Detecting Training Data of Large Language Models via Expectation Maximization. CoRR Gyuwan Kim, Yang Li, Evangelia Spiliopoulou, Jie Ma, Miguel Ballesteros, William Yang Wang
2024	J	`jnl`	General Purpose Verification for Chain of Thought Prompting. CoRR Robert Vacareanu, Anurag Pratik, Evangelia Spiliopoulou, Zheng Qi, Giovanni Paolini, Neha Anna John, Jie Ma, Yassine Benajiba, Miguel Ballesteros
2024	J	`jnl`	NewsQs: Multi-Source Question Generation for the Inquiring Mind. CoRR Alyssa Hwang, Kalpit Dixit, Miguel Ballesteros, Yassine Benajiba, Vittorio Castelli, Markus Dreyer, Mohit Bansal, Kathleen R. McKeown
2024	J	`jnl`	Unraveling and Mitigating Safety Alignment Degradation of Vision-Language Models. CoRR Qin Liu, Chao Shang, Ling Liu, Nikolaos Pappas, Jie Ma, Neha Anna John, Srikanth Doss, Lluís Màrquez, Miguel Ballesteros, Yassine Benajiba
2023	J	`jnl`	A Weak Supervision Approach for Few-Shot Aspect Based Sentiment. CoRR Robert Vacareanu, Siddharth Varia, Kishaloy Halder, Shuai Wang, Giovanni Paolini, Neha Anna John, Miguel Ballesteros, Smaranda Muresan
2023	—	`conf`	Characterizing and Measuring Linguistic Dataset Drift. ACL (1) Tyler A. Chang, Kishaloy Halder, Neha Anna John, Yogarshi Vyas, Yassine Benajiba, Miguel Ballesteros, Dan Roth
2023	J	`jnl`	Characterizing and Measuring Linguistic Dataset Drift. CoRR Tyler A. Chang, Kishaloy Halder, Neha Anna John, Yogarshi Vyas, Yassine Benajiba, Miguel Ballesteros, Dan Roth
2023	A*	`conf`	Comparing Biases and the Impact of Multilingual Training across Multiple Languages. EMNLP Sharon Levy, Neha Anna John, Ling Liu, Yogarshi Vyas, Jie Ma, Yoshinari Fujinuma, Miguel Ballesteros, Vittorio Castelli, Dan Roth
2023	J	`jnl`	Comparing Biases and the Impact of Multilingual Training across Multiple Languages. CoRR Sharon Levy, Neha Anna John, Ling Liu, Yogarshi Vyas, Jie Ma, Yoshinari Fujinuma, Miguel Ballesteros, Vittorio Castelli, Dan Roth
2023	—	`conf`	Contrastive Training Improves Zero-Shot Classification of Semi-structured Documents. ACL (Findings) Muhammad Khalifa, Yogarshi Vyas, Shuai Wang, Graham Horwood, Sunil Mallya, Miguel Ballesteros
2023	A	`conf`	Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views. EACL Katerina Margatina, Shuai Wang, Yogarshi Vyas, Neha Anna John, Yassine Benajiba, Miguel Ballesteros
2023	J	`jnl`	Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views. CoRR Katerina Margatina, Shuai Wang, Yogarshi Vyas, Neha Anna John, Yassine Benajiba, Miguel Ballesteros
2023	—	`conf`	Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis. WASSA@ACL Siddharth Varia, Shuai Wang, Kishaloy Halder, Robert Vacareanu, Miguel Ballesteros, Yassine Benajiba, Neha Anna John, Rishita Anubhai, Smaranda Muresan, Dan Roth
2023	—	`conf`	Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarization. EACL (Findings) Ming Shen, Jie Ma, Shuai Wang, Yogarshi Vyas, Kalpit Dixit, Miguel Ballesteros, Yassine Benajiba
2023	J	`jnl`	Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarization. CoRR Ming Shen, Jie Ma, Shuai Wang, Yogarshi Vyas, Kalpit Dixit, Miguel Ballesteros, Yassine Benajiba
2023	A*	`conf`	Taxonomy Expansion for Named Entity Recognition. EMNLP Karthikeyan K, Yogarshi Vyas, Jie Ma, Giovanni Paolini, Neha Anna John, Shuai Wang, Yassine Benajiba, Vittorio Castelli, Dan Roth, Miguel Ballesteros
2023	J	`jnl`	Taxonomy Expansion for Named Entity Recognition. CoRR Karthikeyan K, Yogarshi Vyas, Jie Ma, Giovanni Paolini, Neha Anna John, Shuai Wang, Yassine Benajiba, Vittorio Castelli, Dan Roth, Miguel Ballesteros
2022	J	`jnl`	Contrastive Training Improves Zero-Shot Classification of Semi-structured Documents. CoRR Muhammad Khalifa, Yogarshi Vyas, Shuai Wang, Graham Horwood, Sunil Mallya, Miguel Ballesteros
2022	—	`conf`	Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning. NAACL-HLT Vishakh Padmakumar, Leonard Lausen, Miguel Ballesteros, Sheng Zha, He He, George Karypis
2022	J	`jnl`	Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning. CoRR Vishakh Padmakumar, Leonard Lausen, Miguel Ballesteros, Sheng Zha, He He, George Karypis
2022	J	`jnl`	Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis. CoRR Siddharth Varia, Shuai Wang, Kishaloy Halder, Robert Vacareanu, Miguel Ballesteros, Yassine Benajiba, Neha Anna John, Rishita Anubhai, Smaranda Muresan, Dan Roth
2022	—	`conf`	Label Semantics for Few Shot Named Entity Recognition. ACL (Findings) Jie Ma, Miguel Ballesteros, Srikanth Doss, Rishita Anubhai, Sunil Mallya, Yaser Al-Onaizan, Dan Roth
2022	J	`jnl`	Label Semantics for Few Shot Named Entity Recognition. CoRR Jie Ma, Miguel Ballesteros, Srikanth Doss, Rishita Anubhai, Sunil Mallya, Yaser Al-Onaizan, Dan Roth
2022	J	`jnl`	Novel Chapter Abstractive Summarization using Spinal Tree Aware Sub-Sentential Content Selection. CoRR Hardy Hardy, Miguel Ballesteros, Faisal Ladhak, Muhammad Khalifa, Vittorio Castelli, Kathleen R. McKeown
2022	B	`conf`	Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation. COLING Fei-Tzin Lee, Miguel Ballesteros, Feng Nan, Kathleen R. McKeown
2021	—	`conf`	A Bag of Tricks for Dialogue Summarization. EMNLP (1) Muhammad Khalifa, Miguel Ballesteros, Kathleen R. McKeown
2021	J	`jnl`	A Bag of Tricks for Dialogue Summarization. CoRR Muhammad Khalifa, Miguel Ballesteros, Kathleen R. McKeown
2021	A	`conf`	Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings. EACL Kailash Karthik Saravanakumar, Miguel Ballesteros, Muthu Kumar Chandrasekaran, Kathleen R. McKeown
2021	J	`jnl`	Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings. CoRR Kailash Karthik Saravanakumar, Miguel Ballesteros, Muthu Kumar Chandrasekaran, Kathleen R. McKeown
2021	—	`conf`	How much pretraining data do language models need to learn syntax? EMNLP (1) Laura Pérez-Mayos, Miguel Ballesteros, Leo Wanner
2021	J	`jnl`	How much pretraining data do language models need to learn syntax? CoRR Laura Pérez-Mayos, Miguel Ballesteros, Leo Wanner
2021	—	`conf`	Linking Entities to Unseen Knowledge Bases with Arbitrary Schemas. NAACL-HLT Yogarshi Vyas, Miguel Ballesteros
2021	J	`jnl`	On the Evolution of Syntactic Information Encoded by BERT's Contextualized Representations. CoRR Laura Pérez-Mayos, Roberto Carlini, Miguel Ballesteros, Leo Wanner
2021	A	`conf`	On the evolution of syntactic information encoded by BERT's contextualized representations. EACL Laura Pérez-Mayos, Roberto Carlini, Miguel Ballesteros, Leo Wanner
2021	—	`conf`	Sequential Cross-Document Coreference Resolution. EMNLP (1) Emily Allaway, Shuai Wang, Miguel Ballesteros
2021	J	`jnl`	Sequential Cross-Document Coreference Resolution. CoRR Emily Allaway, Shuai Wang, Miguel Ballesteros
2020	J	`jnl`	Linking Entities to Unseen Knowledge Bases with Arbitrary Schemas. CoRR Yogarshi Vyas, Miguel Ballesteros
2020	—	`conf`	Resource-Enhanced Neural Model for Event Argument Extraction. EMNLP (Findings) Jie Ma, Shuai Wang, Rishita Anubhai, Miguel Ballesteros, Yaser Al-Onaizan
2020	J	`jnl`	Resource-Enhanced Neural Model for Event Argument Extraction. CoRR Jie Ma, Shuai Wang, Rishita Anubhai, Miguel Ballesteros, Yaser Al-Onaizan
2020	—	`conf`	Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events. EMNLP (1) Miguel Ballesteros, Rishita Anubhai, Shuai Wang, Nima Pourdamghani, Yogarshi Vyas, Jie Ma, Parminder Bhatia, Kathleen R. McKeown, Yaser Al-Onaizan
2020	J	`jnl`	Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events. CoRR Miguel Ballesteros, Rishita Anubhai, Shuai Wang, Nima Pourdamghani, Yogarshi Vyas, Jie Ma, Parminder Bhatia, Kathleen R. McKeown, Yaser Al-Onaizan
2020	—	`conf`	Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models. EMNLP (1) Ethan Wilcox, Peng Qian, Richard Futrell, Ryosuke Kohita, Roger Levy, Miguel Ballesteros
2020	J	`jnl`	Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models. CoRR Ethan Wilcox, Peng Qian, Richard Futrell, Ryosuke Kohita, Roger Levy, Miguel Ballesteros
2020	—	`conf`	To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging. EMNLP (1) Kasturi Bhattacharjee, Miguel Ballesteros, Rishita Anubhai, Smaranda Muresan, Jie Ma, Faisal Ladhak, Yaser Al-Onaizan
2020	J	`jnl`	To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging. CoRR Kasturi Bhattacharjee, Miguel Ballesteros, Rishita Anubhai, Smaranda Muresan, Jie Ma, Faisal Ladhak, Yaser Al-Onaizan
2020	—	`conf`	Transition-based Parsing with Stack-Transformers. EMNLP (Findings) Ramón Fernandez Astudillo, Miguel Ballesteros, Tahira Naseem, Austin Blodgett, Radu Florian
2020	J	`jnl`	Transition-based Parsing with Stack-Transformers. CoRR Ramón Fernandez Astudillo, Miguel Ballesteros, Tahira Naseem, Austin Blodgett, Radu Florian
2019	J	`jnl`	Neural Language Models as Psycholinguistic Subjects: Representations of Syntactic State. CoRR Richard Futrell, Ethan Wilcox, Takashi Morita, Peng Qian, Miguel Ballesteros, Roger Levy
2019	—	`conf`	Neural language models as psycholinguistic subjects: Representations of syntactic state. NAACL-HLT (1) Richard Futrell, Ethan Wilcox, Takashi Morita, Peng Qian, Miguel Ballesteros, Roger Levy
2019	—	`conf`	Recursive Subtree Composition in LSTM-Based Dependency Parsing. NAACL-HLT (1) Miryam de Lhoneux, Miguel Ballesteros, Joakim Nivre
2019	J	`jnl`	Recursive Subtree Composition in LSTM-Based Dependency Parsing. CoRR Miryam de Lhoneux, Miguel Ballesteros, Joakim Nivre
2019	—	`conf`	Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning. ACL (1) Tahira Naseem, Abhishek Shah, Hui Wan, Radu Florian, Salim Roukos, Miguel Ballesteros
2019	J	`jnl`	Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning. CoRR Tahira Naseem, Abhishek Shah, Hui Wan, Radu Florian, Salim Roukos, Miguel Ballesteros
2019	—	`conf`	Structural Supervision Improves Learning of Non-Local Grammatical Dependencies. NAACL-HLT (1) Ethan Wilcox, Peng Qian, Richard Futrell, Miguel Ballesteros, Roger Levy
2019	J	`jnl`	Structural Supervision Improves Learning of Non-Local Grammatical Dependencies. CoRR Ethan Wilcox, Peng Qian, Richard Futrell, Miguel Ballesteros, Roger Levy
2018	—	`conf`	IBM Research at the CoNLL 2018 Shared Task on Multilingual Parsing. CoNLL Shared Task (2) Hui Wan, Tahira Naseem, Young-Suk Lee, Vittorio Castelli, Miguel Ballesteros
2018	B	`conf`	Multilingual Neural Machine Translation with Task-Specific Attention. COLING Graeme W. Blackwood, Miguel Ballesteros, Todd Ward
2018	J	`jnl`	Multilingual Neural Machine Translation with Task-Specific Attention. CoRR Graeme W. Blackwood, Miguel Ballesteros, Todd Ward
2018	—	`conf`	Multimodal Emoji Prediction. NAACL-HLT (2) Francesco Barbieri, Miguel Ballesteros, Francesco Ronzano, Horacio Saggion
2018	J	`jnl`	Multimodal Emoji Prediction. CoRR Francesco Barbieri, Miguel Ballesteros, Francesco Ronzano, Horacio Saggion
2018	—	`conf`	Pieces of Eight: 8-bit Neural Machine Translation. NAACL-HLT (3) Jerry Quinn, Miguel Ballesteros
2018	J	`jnl`	Pieces of Eight: 8-bit Neural Machine Translation. CoRR Jerry Quinn, Miguel Ballesteros
2018	J	`jnl`	Scheduled Multi-Task Learning: From Syntax to Translation. CoRR Eliyahu Kiperwasser, Miguel Ballesteros
2018	J	`jnl`	Scheduled Multi-Task Learning: From Syntax to Translation. Trans. Assoc. Comput. Linguistics Eliyahu Kiperwasser, Miguel Ballesteros
2018	—	`conf`	SemEval 2018 Task 2: Multilingual Emoji Prediction. SemEval@NAACL-HLT Francesco Barbieri, José Camacho-Collados, Francesco Ronzano, Luis Espinosa Anke, Miguel Ballesteros, Valerio Basile, Viviana Patti, Horacio Saggion
2017	A*	`conf`	AMR Parsing using Stack-LSTMs. EMNLP Miguel Ballesteros, Yaser Al-Onaizan
2017	J	`jnl`	AMR Parsing using Stack-LSTMs. CoRR Miguel Ballesteros, Yaser Al-Onaizan
2017	—	`conf`	Arc-Standard Spinal Parsing with Stack-LSTMs. IWPT Miguel Ballesteros, Xavier Carreras
2017	J	`jnl`	Arc-Standard Spinal Parsing with Stack-LSTMs. CoRR Miguel Ballesteros, Xavier Carreras
2017	—	`conf`	Are Emojis Predictable? EACL (2) Francesco Barbieri, Miguel Ballesteros, Horacio Saggion
2017	J	`jnl`	Are Emojis Predictable? CoRR Francesco Barbieri, Miguel Ballesteros, Horacio Saggion
2017	J	`jnl`	DyNet: The Dynamic Neural Network Toolkit. CoRR Graham Neubig, Chris Dyer, Yoav Goldberg, Austin Matthews, Waleed Ammar, Antonios Anastasopoulos, Miguel Ballesteros, David Chiang, Daniel Clothiaux, Trevor Cohn, Kevin Duh, Manaal Faruqui, Cynthia Gan, Dan Garrette, Yangfeng Ji, Lingpeng Kong, Adhiguna Kuncoro, Gaurav Kumar, Chaitanya Malaviya, Paul Michel, Yusuke Oda, Matthew Richardson, Naomi Saphra, Swabha Swayamdipta, Pengcheng Yin
2017	J	`jnl`	Greedy Transition-Based Dependency Parsing with Stack LSTMs. Comput. Linguistics Miguel Ballesteros, Chris Dyer, Yoav Goldberg, Noah A. Smith
2017	—	`conf`	Towards the Understanding of Gaming Audiences by Modeling Twitch Emotes. NUT@EMNLP Francesco Barbieri, Luis Espinosa Anke, Miguel Ballesteros, Juan Soler Company, Horacio Saggion
2017	—	`conf`	What Do Recurrent Neural Network Grammars Learn About Syntax? EACL (1) Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Graham Neubig, Noah A. Smith
2016	A*	`conf`	A Neural Network Architecture for Multilingual Punctuation Generation. EMNLP Miguel Ballesteros, Leo Wanner
2016	J	`jnl`	Data-driven deep-syntactic dependency parsing. Nat. Lang. Eng. Miguel Ballesteros, Bernd Bohnet, Simon Mille, Leo Wanner
2016	A*	`conf`	Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser. EMNLP Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Noah A. Smith
2016	J	`jnl`	Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser. CoRR Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Noah A. Smith
2016	—	`conf`	Dytective: diagnosing risk of dyslexia with a game. PervasiveHealth Luz Rello, Miguel Ballesteros, Abdullah X. Ali, Miquel Serra, Daniela Alarcón Sánchez, Jeffrey P. Bigham
2016	B	`conf`	Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs. CoNLL Swabha Swayamdipta, Miguel Ballesteros, Chris Dyer, Noah A. Smith
2016	J	`jnl`	Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs. CoRR Swabha Swayamdipta, Miguel Ballesteros, Chris Dyer, Noah A. Smith
2016	J	`jnl`	MaltOptimizer: Fast and effective parser optimization. Nat. Lang. Eng. Miguel Ballesteros, Joakim Nivre
2016	J	`jnl`	Many Languages, One Parser. Trans. Assoc. Comput. Linguistics Waleed Ammar, George Mulcaire, Miguel Ballesteros, Chris Dyer, Noah A. Smith
2016	—	`conf`	Multilingual Natural Language Generation within Abstractive Summarization. MMDA@ECAI Simon Mille, Miguel Ballesteros, Alicia Burga, Gerard Casamayor, Leo Wanner
2016	—	`conf`	Neural Architectures for Named Entity Recognition. HLT-NAACL Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, Chris Dyer
2016	J	`jnl`	Neural Architectures for Named Entity Recognition. CoRR Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, Chris Dyer
2016	J	`jnl`	One Parser, Many Languages. CoRR Waleed Ammar, George Mulcaire, Miguel Ballesteros, Chris Dyer, Noah A. Smith
2016	—	`conf`	Recurrent Neural Network Grammars. HLT-NAACL Chris Dyer, Adhiguna Kuncoro, Miguel Ballesteros, Noah A. Smith
2016	J	`jnl`	Recurrent Neural Network Grammars. CoRR Chris Dyer, Adhiguna Kuncoro, Miguel Ballesteros, Noah A. Smith
2016	J	`jnl`	Static and Dynamic Feature Selection in Morphosyntactic Analyzers. CoRR Bernd Bohnet, Miguel Ballesteros, Ryan T. McDonald, Joakim Nivre
2016	—	`conf`	Towards Multilingual Natural Language Generation Within Abstractive Summarization. CCIA Simon Mille, Miguel Ballesteros, Alicia Burga, Gerard Casamayor, Leo Wanner
2016	A*	`conf`	Training with Exploration Improves a Greedy Stack LSTM Parser. EMNLP Miguel Ballesteros, Yoav Goldberg, Chris Dyer, Noah A. Smith
2016	J	`jnl`	Training with Exploration Improves a Greedy Stack-LSTM Parser. CoRR Miguel Ballesteros, Yoav Goldberg, Chris Dyer, Noah A. Smith
2016	A*	`conf`	Transition-Based Dependency Parsing with Heuristic Backtracking. EMNLP Jacob Buckman, Miguel Ballesteros, Chris Dyer
2016	J	`jnl`	What Do Recurrent Neural Network Grammars Learn About Syntax? CoRR Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Graham Neubig, Noah A. Smith
2015	A	`conf`	A Spellchecker for Dyslexia. ASSETS Luz Rello, Miguel Ballesteros, Jeffrey P. Bigham
2015	—	`conf`	Data-driven sentence generation with non-isomorphic trees. HLT-NAACL Miguel Ballesteros, Bernd Bohnet, Simon Mille, Leo Wanner
2015	—	`conf`	Detecting readers with dyslexia using machine learning with eye tracking measures. W4A Luz Rello, Miguel Ballesteros
2015	J	`jnl`	Improved Transition-Based Parsing by Modeling Characters instead of Words with LSTMs. CoRR Miguel Ballesteros, Chris Dyer, Noah A. Smith
2015	A*	`conf`	Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMs. EMNLP Miguel Ballesteros, Chris Dyer, Noah A. Smith
2015	—	`conf`	Transition-Based Dependency Parsing with Stack Long Short-Term Memory. ACL (1) Chris Dyer, Miguel Ballesteros, Wang Ling, Austin Matthews, Noah A. Smith
2015	J	`jnl`	Transition-Based Dependency Parsing with Stack Long Short-Term Memory. CoRR Chris Dyer, Miguel Ballesteros, Wang Ling, Austin Matthews, Noah A. Smith
2015	B	`conf`	Transition-based Spinal Parsing. CoNLL Miguel Ballesteros, Xavier Carreras
2015	—	`conf`	Visualizing Deep-Syntactic Parser Output. HLT-NAACL Juan Soler Company, Miguel Ballesteros, Bernd Bohnet, Simon Mille, Leo Wanner
2014	B	`conf`	Automatic Feature Selection for Agenda-Based Dependency Parsing. COLING Miguel Ballesteros, Bernd Bohnet
2014	B	`conf`	Classifiers for data-driven deep sentence generation. INLG Miguel Ballesteros, Simon Mille, Leo Wanner
2014	B	`conf`	Deep-Syntactic Parsing. COLING Miguel Ballesteros, Bernd Bohnet, Simon Mille, Leo Wanner
2014	J	`jnl`	ViZPar: A GUI for ZPar with Manual Feature Selection. Proces. del Leng. Natural Isabel Ortiz, Miguel Ballesteros, Yue Zhang
2013	—	`conf`	Effective Morphological Feature Selection with MaltOptimizer at the SPMRL 2013 Shared Task. SPMRL@EMNLP Miguel Ballesteros
2013	J	`jnl`	Exploring Automatic Feature Selection for Transition-Based Dependency Parsing. Proces. del Leng. Natural Miguel Ballesteros
2013	—	`conf`	Exploring Morphosyntactic Annotation over a Spanish Corpus for Dependency Parsing. DepLing Miguel Ballesteros, Simon Mille, Alicia Burga
2013	J	`jnl`	Extracting Drug-Drug interaction from text using negation features. Proces. del Leng. Natural Behrouz Bokharaeian, Alberto Díaz, Miguel Ballesteros
2013	B	`conf`	Finding Dependency Parsing Limits over a Large Spanish Corpus. IJCNLP Muntsa Padró, Miguel Ballesteros, Héctor Martínez Alonso, Bernd Bohnet
2013	J	`jnl`	Going to the Roots of Dependency Parsing. Comput. Linguistics Miguel Ballesteros, Joakim Nivre
2013	B	`conf`	MaltDiver: A Transition-Based Parser Visualizer. IJCNLP Miguel Ballesteros, Roberto Carlini
2012	J	`jnl`	Analyzing the CoNLL-X Shared Task from a Sentence Accuracy Perspective. Proces. del Leng. Natural Miguel Ballesteros, Jesús Herrera, Virginia Francisco, Pablo Gervás
2012	J	`jnl`	Are the existing training corpora unnecessarily large? Proces. del Leng. Natural Miguel Ballesteros, Jesús Herrera, Virginia Francisco, Pablo Gervás
2012	—	`conf`	Inferring the Scope of Negation in Biomedical Documents. CICLing (1) Miguel Ballesteros, Virginia Francisco, Alberto Díaz, Jesús Herrera, Pablo Gervás
2012	B	`conf`	MaltOptimizer: A System for MaltParser Optimization. LREC Miguel Ballesteros, Joakim Nivre
2012	A	`conf`	MaltOptimizer: An Optimization Tool for MaltParser. EACL Miguel Ballesteros, Joakim Nivre
2012	J	`jnl`	Optimizing Planar and 2-Planar Parsers with MaltOptimizer. Proces. del Leng. Natural Miguel Ballesteros, Carlos Gómez-Rodríguez, Joakim Nivre
2012	—	`conf`	UCM at TREC 2012: Does Negation Influence The Retrieval of Medical Reports? TREC Alberto Díaz, Miguel Ballesteros, Jorge Carrillo de Albornoz, Laura Plaza
2012	—	`conf`	UCM-2: a Rule-Based Approach to Infer the Scope of Negation via Dependency Parsing. *SEM@NAACL-HLT Miguel Ballesteros, Alberto Díaz, Virginia Francisco, Pablo Gervás, Jorge Carrillo de Albornoz, Laura Plaza
2012	—	`conf`	UCM-I: A Rule-based Syntactic Approach for Resolving the Scope of Negation. *SEM@NAACL-HLT Jorge Carrillo de Albornoz, Laura Plaza, Alberto Díaz, Miguel Ballesteros
2011	—	`conf`	A Proposal for a Spanish Surface Realization Shared Task. ENLG Pablo Gervás, Miguel Ballesteros
2011	J	`jnl`	Inferring the Scope of Negation and Speculation Via Dependency Analysis. Proces. del Leng. Natural Miguel Ballesteros, Virginia Francisco, Alberto Díaz, Jesús Herrera, Pablo Gervás
2011	—	`conf`	Inferring the Scope of Speculation using Dependency Analysis. KDIR Miguel Ballesteros, Virginia Francisco, Alberto Díaz, Jesús Herrera, Pablo Gervás
2010	—	`conf`	A Feasibility Study on Low Level Techniques for Improving Parsing Accuracy for Spanish Using Maltparser. SETN Miguel Ballesteros, Jesús Herrera, Virginia Francisco, Pablo Gervás
2010	—	`conf`	Giving Shape to an N-version Dependency Parser - Improving Dependency Parsing Accuracy for Spanish using Maltparser. KDIR Miguel Ballesteros, Jesús Herrera, Virginia Francisco, Pablo Gervás
2010	J	`jnl`	Improving Parsing Accuracy for Spanish using Maltparser. Proces. del Leng. Natural Miguel Ballesteros, Jesús Herrera, Virginia Francisco, Pablo Gervás
2010	—	`conf`	Text Simplification using Dependency Parsing for Spanish. KDIR Miguel Ballesteros, Susana Bautista, Pablo Gervás
2010	—	`conf`	Towards an N-Version Dependency Parser. TSD Miguel Ballesteros, Jesús Herrera, Virginia Francisco, Pablo Gervás