Miguel Ballesteros

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 96

Top Venues

Publications

Alyssa Hwang, Kalpit Dixit, Miguel Ballesteros, Yassine Benajiba, Vittorio Castelli, Markus Dreyer, Mohit Bansal, Kathleen R. McKeown
NewsQs: Multi-Source Question Generation for the Inquiring Mind. CoRR (2024)
Robert Vacareanu, Siddharth Varia, Kishaloy Halder, Shuai Wang, Giovanni Paolini, Neha Anna John, Miguel Ballesteros, Smaranda Muresan
A Weak Supervision Approach for Few-Shot Aspect Based Sentiment Analysis. EACL (1) (2024)
Robert Vacareanu, Anurag Pratik, Evangelia Spiliopoulou, Zheng Qi, Giovanni Paolini, Neha Anna John, Jie Ma, Yassine Benajiba, Miguel Ballesteros
General Purpose Verification for Chain of Thought Prompting. CoRR (2024)
Karthikeyan K, Yogarshi Vyas, Jie Ma, Giovanni Paolini, Neha Anna John, Shuai Wang, Yassine Benajiba, Vittorio Castelli, Dan Roth, Miguel Ballesteros
Taxonomy Expansion for Named Entity Recognition. CoRR (2023)
Ming Shen, Jie Ma, Shuai Wang, Yogarshi Vyas, Kalpit Dixit, Miguel Ballesteros, Yassine Benajiba
Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarization. EACL (Findings) (2023)
Karthikeyan K, Yogarshi Vyas, Jie Ma, Giovanni Paolini, Neha Anna John, Shuai Wang, Yassine Benajiba, Vittorio Castelli, Dan Roth, Miguel Ballesteros
Taxonomy Expansion for Named Entity Recognition. EMNLP (2023)
Tyler A. Chang, Kishaloy Halder, Neha Anna John, Yogarshi Vyas, Yassine Benajiba, Miguel Ballesteros, Dan Roth
Characterizing and Measuring Linguistic Dataset Drift. CoRR (2023)
Katerina Margatina, Shuai Wang, Yogarshi Vyas, Neha Anna John, Yassine Benajiba, Miguel Ballesteros
Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views. EACL (2023)
Siddharth Varia, Shuai Wang, Kishaloy Halder, Robert Vacareanu, Miguel Ballesteros, Yassine Benajiba, Neha Anna John, Rishita Anubhai, Smaranda Muresan, Dan Roth
Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis. WASSA@ACL (2023)
Tyler A. Chang, Kishaloy Halder, Neha Anna John, Yogarshi Vyas, Yassine Benajiba, Miguel Ballesteros, Dan Roth
Characterizing and Measuring Linguistic Dataset Drift. ACL (1) (2023)
Ming Shen, Jie Ma, Shuai Wang, Yogarshi Vyas, Kalpit Dixit, Miguel Ballesteros, Yassine Benajiba
Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarization. CoRR (2023)
Robert Vacareanu, Siddharth Varia, Kishaloy Halder, Shuai Wang, Giovanni Paolini, Neha Anna John, Miguel Ballesteros, Smaranda Muresan
A Weak Supervision Approach for Few-Shot Aspect Based Sentiment. CoRR (2023)
Sharon Levy, Neha John, Ling Liu, Yogarshi Vyas, Jie Ma, Yoshinari Fujinuma, Miguel Ballesteros, Vittorio Castelli, Dan Roth
Comparing Biases and the Impact of Multilingual Training across Multiple Languages. EMNLP (2023)
Sharon Levy, Neha Anna John, Ling Liu, Yogarshi Vyas, Jie Ma, Yoshinari Fujinuma, Miguel Ballesteros, Vittorio Castelli, Dan Roth
Comparing Biases and the Impact of Multilingual Training across Multiple Languages. CoRR (2023)
Muhammad Khalifa, Yogarshi Vyas, Shuai Wang, Graham Horwood, Sunil Mallya, Miguel Ballesteros
Contrastive Training Improves Zero-Shot Classification of Semi-structured Documents. ACL (Findings) (2023)
Katerina Margatina, Shuai Wang, Yogarshi Vyas, Neha Anna John, Yassine Benajiba, Miguel Ballesteros
Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views. CoRR (2023)
Jie Ma, Miguel Ballesteros, Srikanth Doss, Rishita Anubhai, Sunil Mallya, Yaser Al-Onaizan, Dan Roth
Label Semantics for Few Shot Named Entity Recognition. CoRR (2022)
Siddharth Varia, Shuai Wang, Kishaloy Halder, Robert Vacareanu, Miguel Ballesteros, Yassine Benajiba, Neha Anna John, Rishita Anubhai, Smaranda Muresan, Dan Roth
Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis. CoRR (2022)
Fei-Tzin Lee, Miguel Ballesteros, Feng Nan, Kathleen R. McKeown
Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation. COLING (2022)
Hardy Hardy, Miguel Ballesteros, Faisal Ladhak, Muhammad Khalifa, Vittorio Castelli, Kathleen R. McKeown
Novel Chapter Abstractive Summarization using Spinal Tree Aware Sub-Sentential Content Selection. CoRR (2022)
Vishakh Padmakumar, Leonard Lausen, Miguel Ballesteros, Sheng Zha, He He, George Karypis
Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning. NAACL-HLT (2022)
Jie Ma, Miguel Ballesteros, Srikanth Doss, Rishita Anubhai, Sunil Mallya, Yaser Al-Onaizan, Dan Roth
Label Semantics for Few Shot Named Entity Recognition. ACL (Findings) (2022)
Muhammad Khalifa, Yogarshi Vyas, Shuai Wang, Graham Horwood, Sunil Mallya, Miguel Ballesteros
Contrastive Training Improves Zero-Shot Classification of Semi-structured Documents. CoRR (2022)
Vishakh Padmakumar, Leonard Lausen, Miguel Ballesteros, Sheng Zha, He He, George Karypis
Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning. CoRR (2022)
Emily Allaway, Shuai Wang, Miguel Ballesteros
Sequential Cross-Document Coreference Resolution. EMNLP (1) (2021)
Yogarshi Vyas, Miguel Ballesteros
Linking Entities to Unseen Knowledge Bases with Arbitrary Schemas. NAACL-HLT (2021)
Kailash Karthik Saravanakumar, Miguel Ballesteros, Muthu Kumar Chandrasekaran, Kathleen R. McKeown
Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings. EACL (2021)
Laura Pérez-Mayos, Roberto Carlini, Miguel Ballesteros, Leo Wanner
On the evolution of syntactic information encoded by BERT's contextualized representations. EACL (2021)
Muhammad Khalifa, Miguel Ballesteros, Kathleen R. McKeown
A Bag of Tricks for Dialogue Summarization. CoRR (2021)
Laura Pérez-Mayos, Roberto Carlini, Miguel Ballesteros, Leo Wanner
On the Evolution of Syntactic Information Encoded by BERT's Contextualized Representations. CoRR (2021)
Emily Allaway, Shuai Wang, Miguel Ballesteros
Sequential Cross-Document Coreference Resolution. CoRR (2021)
Kailash Karthik Saravanakumar, Miguel Ballesteros, Muthu Kumar Chandrasekaran, Kathleen R. McKeown
Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings. CoRR (2021)
Muhammad Khalifa, Miguel Ballesteros, Kathleen R. McKeown
A Bag of Tricks for Dialogue Summarization. EMNLP (1) (2021)
Laura Pérez-Mayos, Miguel Ballesteros, Leo Wanner
How much pretraining data do language models need to learn syntax? EMNLP (1) (2021)
Laura Pérez-Mayos, Miguel Ballesteros, Leo Wanner
How much pretraining data do language models need to learn syntax? CoRR (2021)
Miguel Ballesteros, Rishita Anubhai, Shuai Wang, Nima Pourdamghani, Yogarshi Vyas, Jie Ma, Parminder Bhatia, Kathleen R. McKeown, Yaser Al-Onaizan
Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events. CoRR (2020)
Kasturi Bhattacharjee, Miguel Ballesteros, Rishita Anubhai, Smaranda Muresan, Jie Ma, Faisal Ladhak, Yaser Al-Onaizan
To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging. CoRR (2020)
Ethan Wilcox, Peng Qian, Richard Futrell, Ryosuke Kohita, Roger Levy, Miguel Ballesteros
Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models. CoRR (2020)
Ethan Wilcox, Peng Qian, Richard Futrell, Ryosuke Kohita, Roger Levy, Miguel Ballesteros
Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models. EMNLP (1) (2020)
Rahul Radhakrishnan Iyer, Miguel Ballesteros, Chris Dyer, Robert E. Frederking
Transition-Based Dependency Parsing using Perceptron Learner. CoRR (2020)
Jie Ma, Shuai Wang, Rishita Anubhai, Miguel Ballesteros, Yaser Al-Onaizan
Resource-Enhanced Neural Model for Event Argument Extraction. EMNLP (Findings) (2020)
Ramón Fernandez Astudillo, Miguel Ballesteros, Tahira Naseem, Austin Blodgett, Radu Florian
Transition-based Parsing with Stack-Transformers. EMNLP (Findings) (2020)
Ramón Fernandez Astudillo, Miguel Ballesteros, Tahira Naseem, Austin Blodgett, Radu Florian
Transition-based Parsing with Stack-Transformers. CoRR (2020)
Kasturi Bhattacharjee, Miguel Ballesteros, Rishita Anubhai, Smaranda Muresan, Jie Ma, Faisal Ladhak, Yaser Al-Onaizan
To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging. EMNLP (1) (2020)
Miguel Ballesteros, Rishita Anubhai, Shuai Wang, Nima Pourdamghani, Yogarshi Vyas, Jie Ma, Parminder Bhatia, Kathleen R. McKeown, Yaser Al-Onaizan
Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events. EMNLP (1) (2020)
Jie Ma, Shuai Wang, Rishita Anubhai, Miguel Ballesteros, Yaser Al-Onaizan
Resource-Enhanced Neural Model for Event Argument Extraction. CoRR (2020)
Yogarshi Vyas, Miguel Ballesteros
Linking Entities to Unseen Knowledge Bases with Arbitrary Schemas. CoRR (2020)
Ethan Wilcox, Peng Qian, Richard Futrell, Miguel Ballesteros, Roger Levy
Structural Supervision Improves Learning of Non-Local Grammatical Dependencies. CoRR (2019)
Richard Futrell, Ethan Wilcox, Takashi Morita, Peng Qian, Miguel Ballesteros, Roger Levy
Neural Language Models as Psycholinguistic Subjects: Representations of Syntactic State. CoRR (2019)
Miryam de Lhoneux, Miguel Ballesteros, Joakim Nivre
Recursive Subtree Composition in LSTM-Based Dependency Parsing. CoRR (2019)
Tahira Naseem, Abhishek Shah, Hui Wan, Radu Florian, Salim Roukos, Miguel Ballesteros
Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning. CoRR (2019)
Ethan Wilcox, Peng Qian, Richard Futrell, Miguel Ballesteros, Roger Levy
Structural Supervision Improves Learning of Non-Local Grammatical Dependencies. NAACL-HLT (1) (2019)
Miryam de Lhoneux, Miguel Ballesteros, Joakim Nivre
Recursive Subtree Composition in LSTM-Based Dependency Parsing. NAACL-HLT (1) (2019)
Tahira Naseem, Abhishek Shah, Hui Wan, Radu Florian, Salim Roukos, Miguel Ballesteros
Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning. ACL (1) (2019)
Richard Futrell, Ethan Wilcox, Takashi Morita, Peng Qian, Miguel Ballesteros, Roger Levy
Neural language models as psycholinguistic subjects: Representations of syntactic state. NAACL-HLT (1) (2019)
Francesco Barbieri, José Camacho-Collados, Francesco Ronzano, Luis Espinosa Anke, Miguel Ballesteros, Valerio Basile, Viviana Patti, Horacio Saggion
SemEval 2018 Task 2: Multilingual Emoji Prediction. SemEval@NAACL-HLT (2018)
Jerry Quinn, Miguel Ballesteros
Pieces of Eight: 8-bit Neural Machine Translation. CoRR (2018)
Eliyahu Kiperwasser, Miguel Ballesteros
Scheduled Multi-Task Learning: From Syntax to Translation. Trans. Assoc. Comput. Linguistics 6 (2018)
Jerry Quinn, Miguel Ballesteros
Pieces of Eight: 8-bit Neural Machine Translation. NAACL-HLT (3) (2018)
Graeme W. Blackwood, Miguel Ballesteros, Todd Ward
Multilingual Neural Machine Translation with Task-Specific Attention. CoRR (2018)
Graeme W. Blackwood, Miguel Ballesteros, Todd Ward
Multilingual Neural Machine Translation with Task-Specific Attention. COLING (2018)
Francesco Barbieri, Miguel Ballesteros, Francesco Ronzano, Horacio Saggion
Multimodal Emoji Prediction. NAACL-HLT (2) (2018)
Francesco Barbieri, Miguel Ballesteros, Francesco Ronzano, Horacio Saggion
Multimodal Emoji Prediction. CoRR (2018)
Hui Wan, Tahira Naseem, Young-Suk Lee, Vittorio Castelli, Miguel Ballesteros
IBM Research at the CoNLL 2018 Shared Task on Multilingual Parsing. CoNLL Shared Task (2) (2018)
Eliyahu Kiperwasser, Miguel Ballesteros
Scheduled Multi-Task Learning: From Syntax to Translation. CoRR (2018)
Miguel Ballesteros, Yaser Al-Onaizan
AMR Parsing using Stack-LSTMs. CoRR (2017)
Francesco Barbieri, Miguel Ballesteros, Horacio Saggion
Are Emojis Predictable? EACL (2) (2017)
Francesco Barbieri, Luis Espinosa Anke, Miguel Ballesteros, Juan Soler Company, Horacio Saggion
Towards the Understanding of Gaming Audiences by Modeling Twitch Emotes. NUT@EMNLP (2017)
Miguel Ballesteros, Xavier Carreras
Arc-Standard Spinal Parsing with Stack-LSTMs. CoRR (2017)
Miguel Ballesteros, Yaser Al-Onaizan
AMR Parsing using Stack-LSTMs. EMNLP (2017)
Miguel Ballesteros, Xavier Carreras
Arc-Standard Spinal Parsing with Stack-LSTMs. IWPT (2017)
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
DyNet: The Dynamic Neural Network Toolkit. CoRR (2017)
Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Graham Neubig, Noah A. Smith
What Do Recurrent Neural Network Grammars Learn About Syntax? EACL (1) (2017)
Francesco Barbieri, Miguel Ballesteros, Horacio Saggion
Are Emojis Predictable? CoRR (2017)
Miguel Ballesteros, Chris Dyer, Yoav Goldberg, Noah A. Smith
Greedy Transition-Based Dependency Parsing with Stack LSTMs. Comput. Linguistics 43 (2) (2017)
Waleed Ammar, George Mulcaire, Miguel Ballesteros, Chris Dyer, Noah A. Smith
Many Languages, One Parser. Trans. Assoc. Comput. Linguistics 4 (2016)
Simon Mille, Miguel Ballesteros, Alicia Burga, Gerard Casamayor, Leo Wanner
Towards Multilingual Natural Language Generation Within Abstractive Summarization. CCIA (2016)
Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Graham Neubig, Noah A. Smith
What Do Recurrent Neural Network Grammars Learn About Syntax? CoRR (2016)
Chris Dyer, Adhiguna Kuncoro, Miguel Ballesteros, Noah A. Smith
Recurrent Neural Network Grammars. CoRR (2016)
Chris Dyer, Adhiguna Kuncoro, Miguel Ballesteros, Noah A. Smith
Recurrent Neural Network Grammars. HLT-NAACL (2016)
Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Noah A. Smith
Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser. CoRR (2016)
Miguel Ballesteros, Bernd Bohnet, Simon Mille, Leo Wanner
Data-driven deep-syntactic dependency parsing. Nat. Lang. Eng. 22 (6) (2016)
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, Chris Dyer
Neural Architectures for Named Entity Recognition. CoRR (2016)
Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Noah A. Smith
Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser. EMNLP (2016)
Swabha Swayamdipta, Miguel Ballesteros, Chris Dyer, Noah A. Smith
Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs. CoRR (2016)
Waleed Ammar, George Mulcaire, Miguel Ballesteros, Chris Dyer, Noah A. Smith
One Parser, Many Languages. CoRR (2016)
Jacob Buckman, Miguel Ballesteros, Chris Dyer
Transition-Based Dependency Parsing with Heuristic Backtracking. EMNLP (2016)
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, Chris Dyer
Neural Architectures for Named Entity Recognition. HLT-NAACL (2016)
Miguel Ballesteros, Yoav Goldberg, Chris Dyer, Noah A. Smith
Training with Exploration Improves a Greedy Stack LSTM Parser. EMNLP (2016)
Miguel Ballesteros, Leo Wanner
A Neural Network Architecture for Multilingual Punctuation Generation. EMNLP (2016)
Bernd Bohnet, Miguel Ballesteros, Ryan T. McDonald, Joakim Nivre
Static and Dynamic Feature Selection in Morphosyntactic Analyzers. CoRR (2016)
Luz Rello, Miguel Ballesteros, Abdullah X. Ali, Miquel Serra, Daniela Alarcón Sánchez, Jeffrey P. Bigham
Dytective: diagnosing risk of dyslexia with a game. PervasiveHealth (2016)
Swabha Swayamdipta, Miguel Ballesteros, Chris Dyer, Noah A. Smith
Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs. CoNLL (2016)
Simon Mille, Miguel Ballesteros, Alicia Burga, Gerard Casamayor, Leo Wanner
Multilingual Natural Language Generation within Abstractive Summarization. MMDA@ECAI (2016)
Miguel Ballesteros, Joakim Nivre
MaltOptimizer: Fast and effective parser optimization. Nat. Lang. Eng. 22 (2) (2016)
Miguel Ballesteros, Yoav Goldberg, Chris Dyer, Noah A. Smith
Training with Exploration Improves a Greedy Stack-LSTM Parser. CoRR (2016)
Chris Dyer, Miguel Ballesteros, Wang Ling, Austin Matthews, Noah A. Smith
Transition-Based Dependency Parsing with Stack Long Short-Term Memory. ACL (1) (2015)
Miguel Ballesteros, Bernd Bohnet, Simon Mille, Leo Wanner
Data-driven sentence generation with non-isomorphic trees. HLT-NAACL (2015)
Miguel Ballesteros, Xavier Carreras
Transition-based Spinal Parsing. CoNLL (2015)
Luz Rello, Miguel Ballesteros
Detecting readers with dyslexia using machine learning with eye tracking measures. W4A (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Miguel Ballesteros