Miguel Ballesteros

According to our database, Miguel Ballesteros authored at least 93 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

General Purpose Verification for Chain of Thought Prompting.

Robert Vacareanu, Anurag Pratik, Evangelia Spiliopoulou, Zheng Qi, Giovanni Paolini, Neha Anna John, Jie Ma, Yassine Benajiba, Miguel Ballesteros

CoRR, 2024

NewsQs: Multi-Source Question Generation for the Inquiring Mind.

Alyssa Hwang, Kalpit Dixit, Miguel Ballesteros, Yassine Benajiba, Vittorio Castelli, Markus Dreyer, Mohit Bansal, Kathleen R. McKeown

CoRR, 2024

A Weak Supervision Approach for Few-Shot Aspect Based Sentiment Analysis.

Robert Vacareanu, Siddharth Varia, Kishaloy Halder, Shuai Wang, Giovanni Paolini, Neha Anna John, Miguel Ballesteros, Smaranda Muresan

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

A Weak Supervision Approach for Few-Shot Aspect Based Sentiment.

Robert Vacareanu, Siddharth Varia, Kishaloy Halder, Shuai Wang, Giovanni Paolini, Neha Anna John, Miguel Ballesteros, Smaranda Muresan

CoRR, 2023

Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis.

Siddharth Varia, Shuai Wang, Kishaloy Halder, Robert Vacareanu, Miguel Ballesteros, Yassine Benajiba, Neha Anna John, Rishita Anubhai, Smaranda Muresan, Dan Roth

Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, 2023

Comparing Biases and the Impact of Multilingual Training across Multiple Languages.

Sharon Levy, Neha Anna John, Ling Liu, Yogarshi Vyas, Jie Ma, Yoshinari Fujinuma, Miguel Ballesteros, Vittorio Castelli, Dan Roth

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Taxonomy Expansion for Named Entity Recognition.

Karthikeyan K, Yogarshi Vyas, Jie Ma, Giovanni Paolini, Neha Anna John, Shuai Wang, Yassine Benajiba, Vittorio Castelli, Dan Roth, Miguel Ballesteros

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarization.

Ming Shen, Jie Ma, Shuai Wang, Yogarshi Vyas, Kalpit Dixit, Miguel Ballesteros, Yassine Benajiba

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views.

Katerina Margatina, Shuai Wang, Yogarshi Vyas, Neha Anna John, Yassine Benajiba, Miguel Ballesteros

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Contrastive Training Improves Zero-Shot Classification of Semi-structured Documents.

Muhammad Khalifa, Yogarshi Vyas, Shuai Wang, Graham Horwood, Sunil Mallya, Miguel Ballesteros

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Characterizing and Measuring Linguistic Dataset Drift.

Tyler A. Chang, Kishaloy Halder, Neha Anna John, Yogarshi Vyas, Yassine Benajiba, Miguel Ballesteros, Dan Roth

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Novel Chapter Abstractive Summarization using Spinal Tree Aware Sub-Sentential Content Selection.

Hardy Hardy, Miguel Ballesteros, Faisal Ladhak, Muhammad Khalifa, Vittorio Castelli, Kathleen R. McKeown

CoRR, 2022

Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning.

Vishakh Padmakumar, Leonard Lausen, Miguel Ballesteros, Sheng Zha, He He, George Karypis

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation.

Fei-Tzin Lee, Miguel Ballesteros, Feng Nan, Kathleen R. McKeown

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Label Semantics for Few Shot Named Entity Recognition.

Jie Ma, Miguel Ballesteros, Srikanth Doss, Rishita Anubhai, Sunil Mallya, Yaser Al-Onaizan, Dan Roth

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Linking Entities to Unseen Knowledge Bases with Arbitrary Schemas.

Yogarshi Vyas, Miguel Ballesteros

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

How much pretraining data do language models need to learn syntax?

Laura Pérez-Mayos, Miguel Ballesteros, Leo Wanner

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Bag of Tricks for Dialogue Summarization.

Muhammad Khalifa, Miguel Ballesteros, Kathleen R. McKeown

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Sequential Cross-Document Coreference Resolution.

Emily Allaway, Shuai Wang, Miguel Ballesteros

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings.

Kailash Karthik Saravanakumar, Miguel Ballesteros, Muthu Kumar Chandrasekaran, Kathleen R. McKeown

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

On the evolution of syntactic information encoded by BERT's contextualized representations.

Laura Pérez-Mayos, Roberto Carlini, Miguel Ballesteros, Leo Wanner

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models.

Ethan Wilcox, Peng Qian, Richard Futrell, Ryosuke Kohita, Roger Levy, Miguel Ballesteros

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Resource-Enhanced Neural Model for Event Argument Extraction.

Jie Ma, Shuai Wang, Rishita Anubhai, Miguel Ballesteros, Yaser Al-Onaizan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging.

Kasturi Bhattacharjee, Miguel Ballesteros, Rishita Anubhai, Smaranda Muresan, Jie Ma, Faisal Ladhak, Yaser Al-Onaizan

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events.

Miguel Ballesteros, Rishita Anubhai, Shuai Wang, Nima Pourdamghani, Yogarshi Vyas, Jie Ma, Parminder Bhatia, Kathleen R. McKeown, Yaser Al-Onaizan

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Transition-based Parsing with Stack-Transformers.

Ramón Fernandez Astudillo, Miguel Ballesteros, Tahira Naseem, Austin Blodgett, Radu Florian

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Structural Supervision Improves Learning of Non-Local Grammatical Dependencies.

Ethan Wilcox, Peng Qian, Richard Futrell, Miguel Ballesteros, Roger Levy

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Recursive Subtree Composition in LSTM-Based Dependency Parsing.

Miryam de Lhoneux, Miguel Ballesteros, Joakim Nivre

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Neural language models as psycholinguistic subjects: Representations of syntactic state.

Richard Futrell, Ethan Wilcox, Takashi Morita, Peng Qian, Miguel Ballesteros, Roger Levy

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning.

Tahira Naseem, Abhishek Shah, Hui Wan, Radu Florian, Salim Roukos, Miguel Ballesteros

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Scheduled Multi-Task Learning: From Syntax to Translation.

Eliyahu Kiperwasser, Miguel Ballesteros

Trans. Assoc. Comput. Linguistics, 2018

SemEval 2018 Task 2: Multilingual Emoji Prediction.

Francesco Barbieri, José Camacho-Collados, Francesco Ronzano, Luis Espinosa Anke, Miguel Ballesteros, Valerio Basile, Viviana Patti, Horacio Saggion

Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

Pieces of Eight: 8-bit Neural Machine Translation.

Jerry Quinn, Miguel Ballesteros

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Multimodal Emoji Prediction.

Francesco Barbieri, Miguel Ballesteros, Francesco Ronzano, Horacio Saggion

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

IBM Research at the CoNLL 2018 Shared Task on Multilingual Parsing.

Hui Wan, Tahira Naseem, Young-Suk Lee, Vittorio Castelli, Miguel Ballesteros

Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, Brussels, Belgium, October 31, 2018

Multilingual Neural Machine Translation with Task-Specific Attention.

Graeme W. Blackwood, Miguel Ballesteros, Todd Ward

Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017

DyNet: The Dynamic Neural Network Toolkit.

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

CoRR, 2017

Greedy Transition-Based Dependency Parsing with Stack LSTMs.

Miguel Ballesteros, Chris Dyer, Yoav Goldberg, Noah A. Smith

Comput. Linguistics, 2017

Arc-Standard Spinal Parsing with Stack-LSTMs.

Miguel Ballesteros, Xavier Carreras

Proceedings of the 15th International Conference on Parsing Technologies, 2017

AMR Parsing using Stack-LSTMs.

Miguel Ballesteros, Yaser Al-Onaizan

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

What Do Recurrent Neural Network Grammars Learn About Syntax?

Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Graham Neubig, Noah A. Smith

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Are Emojis Predictable?

Francesco Barbieri, Miguel Ballesteros, Horacio Saggion

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Towards the Understanding of Gaming Audiences by Modeling Twitch Emotes.

Francesco Barbieri, Luis Espinosa Anke, Miguel Ballesteros, Juan Soler Company, Horacio Saggion

Proceedings of the 3rd Workshop on Noisy User-generated Text, 2017

2016

Many Languages, One Parser.

Waleed Ammar, George Mulcaire, Miguel Ballesteros, Chris Dyer, Noah A. Smith

Trans. Assoc. Comput. Linguistics, 2016

MaltOptimizer: Fast and effective parser optimization.

Miguel Ballesteros, Joakim Nivre

Nat. Lang. Eng., 2016

Data-driven deep-syntactic dependency parsing.

Miguel Ballesteros, Bernd Bohnet, Simon Mille, Leo Wanner

Nat. Lang. Eng., 2016

Static and Dynamic Feature Selection in Morphosyntactic Analyzers.

Bernd Bohnet, Miguel Ballesteros, Ryan T. McDonald, Joakim Nivre

CoRR, 2016

One Parser, Many Languages.

Waleed Ammar, George Mulcaire, Miguel Ballesteros, Chris Dyer, Noah A. Smith

CoRR, 2016

Dytective: diagnosing risk of dyslexia with a game.

Luz Rello, Miguel Ballesteros, Abdullah X. Ali, Miquel Serra, Daniela Alarcón Sánchez, Jeffrey P. Bigham

Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2016

Neural Architectures for Named Entity Recognition.

Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, Chris Dyer

Proceedings of the NAACL HLT 2016, 2016

Recurrent Neural Network Grammars.

Chris Dyer, Adhiguna Kuncoro, Miguel Ballesteros, Noah A. Smith

Proceedings of the NAACL HLT 2016, 2016

Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser.

Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Noah A. Smith

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Transition-Based Dependency Parsing with Heuristic Backtracking.

Jacob Buckman, Miguel Ballesteros, Chris Dyer

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

A Neural Network Architecture for Multilingual Punctuation Generation.

Miguel Ballesteros, Leo Wanner

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Training with Exploration Improves a Greedy Stack LSTM Parser.

Miguel Ballesteros, Yoav Goldberg, Chris Dyer, Noah A. Smith

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Multilingual Natural Language Generation within Abstractive Summarization.

Simon Mille, Miguel Ballesteros, Alicia Burga, Gerard Casamayor, Leo Wanner

Proceedings of the 1st International Workshop on Multimodal Media Data Analytics co-located with the 22nd European Conference on Artificial Intelligence, 2016

Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs.

Swabha Swayamdipta, Miguel Ballesteros, Chris Dyer, Noah A. Smith

Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016

Towards Multilingual Natural Language Generation Within Abstractive Summarization.

Simon Mille, Miguel Ballesteros, Alicia Burga, Gerard Casamayor, Leo Wanner

Proceedings of the Artificial Intelligence Research and Development, 2016

2015

Detecting readers with dyslexia using machine learning with eye tracking measures.

Luz Rello, Miguel Ballesteros

Proceedings of the 12th Web for All Conference, 2015

Visualizing Deep-Syntactic Parser Output.

Juan Soler Company, Miguel Ballesteros, Bernd Bohnet, Simon Mille, Leo Wanner

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Data-driven sentence generation with non-isomorphic trees.

Miguel Ballesteros, Bernd Bohnet, Simon Mille, Leo Wanner

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMs.

Miguel Ballesteros, Chris Dyer, Noah A. Smith

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Transition-based Spinal Parsing.

Miguel Ballesteros, Xavier Carreras

Proceedings of the 19th Conference on Computational Natural Language Learning, 2015

A Spellchecker for Dyslexia.

Luz Rello, Miguel Ballesteros, Jeffrey P. Bigham

Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility, 2015

Transition-Based Dependency Parsing with Stack Long Short-Term Memory.

Chris Dyer, Miguel Ballesteros, Wang Ling, Austin Matthews, Noah A. Smith

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

ViZPar: A GUI for ZPar with Manual Feature Selection.

Isabel Ortiz, Miguel Ballesteros, Yue Zhang

Proces. del Leng. Natural, 2014

Classifiers for data-driven deep sentence generation.

Miguel Ballesteros, Simon Mille, Leo Wanner

Proceedings of the INLG 2014, 2014

Deep-Syntactic Parsing.

Miguel Ballesteros, Bernd Bohnet, Simon Mille, Leo Wanner

Proceedings of the COLING 2014, 2014

Automatic Feature Selection for Agenda-Based Dependency Parsing.

Miguel Ballesteros, Bernd Bohnet

Proceedings of the COLING 2014, 2014

2013

Extracting Drug-Drug interaction from text using negation features.

Behrouz Bokharaeian, Alberto Díaz, Miguel Ballesteros

Proces. del Leng. Natural, 2013

Exploring Automatic Feature Selection for Transition-Based Dependency Parsing.

Miguel Ballesteros

Proces. del Leng. Natural, 2013

Going to the Roots of Dependency Parsing.

Miguel Ballesteros, Joakim Nivre

Comput. Linguistics, 2013

Finding Dependency Parsing Limits over a Large Spanish Corpus.

Muntsa Padró, Miguel Ballesteros, Héctor Martínez Alonso, Bernd Bohnet

Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

MaltDiver: A Transition-Based Parser Visualizer.

Miguel Ballesteros, Roberto Carlini

Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Exploring Morphosyntactic Annotation over a Spanish Corpus for Dependency Parsing.

Miguel Ballesteros, Simon Mille, Alicia Burga

Proceedings of the Second International Conference on Dependency Linguistics, 2013

Effective Morphological Feature Selection with MaltOptimizer at the SPMRL 2013 Shared Task.

Miguel Ballesteros

Proceedings of the Fourth Workshop on Statistical Parsing of Morphologically-Rich Languages, 2013

2012

Analyzing the CoNLL-X Shared Task from a Sentence Accuracy Perspective.

Miguel Ballesteros, Jesús Herrera, Virginia Francisco, Pablo Gervás

Proces. del Leng. Natural, 2012

Are the existing training corpora unnecessarily large?

Miguel Ballesteros, Jesús Herrera, Virginia Francisco, Pablo Gervás

Proces. del Leng. Natural, 2012

Optimizing Planar and 2-Planar Parsers with MaltOptimizer.

Miguel Ballesteros, Carlos Gómez-Rodríguez, Joakim Nivre

Proces. del Leng. Natural, 2012

UCM at TREC 2012: Does Negation Influence The Retrieval of Medical Reports?

Alberto Díaz, Miguel Ballesteros, Jorge Carrillo de Albornoz, Laura Plaza

Proceedings of The Twenty-First Text REtrieval Conference, 2012

UCM-2: a Rule-Based Approach to Infer the Scope of Negation via Dependency Parsing.

Miguel Ballesteros, Alberto Díaz, Virginia Francisco, Pablo Gervás, Jorge Carrillo de Albornoz, Laura Plaza

Proceedings of the First Joint Conference on Lexical and Computational Semantics, 2012

UCM-I: A Rule-based Syntactic Approach for Resolving the Scope of Negation.

Jorge Carrillo de Albornoz, Laura Plaza, Alberto Díaz, Miguel Ballesteros

Proceedings of the First Joint Conference on Lexical and Computational Semantics, 2012

MaltOptimizer: A System for MaltParser Optimization.

Miguel Ballesteros, Joakim Nivre

Proceedings of the Eighth International Conference on Language Resources and Evaluation, 2012

MaltOptimizer: An Optimization Tool for MaltParser.

Miguel Ballesteros, Joakim Nivre

Proceedings of the EACL 2012, 2012

Inferring the Scope of Negation in Biomedical Documents.

Miguel Ballesteros, Virginia Francisco, Alberto Díaz, Jesús Herrera, Pablo Gervás

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2012

2011

Inferring the Scope of Negation and Speculation Via Dependency Analysis.

Miguel Ballesteros, Virginia Francisco, Alberto Díaz, Jesús Herrera, Pablo Gervás

Proces. del Leng. Natural, 2011

Inferring the Scope of Speculation using Dependency Analysis.

Miguel Ballesteros, Virginia Francisco, Alberto Díaz, Jesús Herrera, Pablo Gervás

Proceedings of the KDIR 2011, 2011

A Proposal for a Spanish Surface Realization Shared Task.

Pablo Gervás, Miguel Ballesteros

Proceedings of the ENLG 2011, 2011

2010

Improving Parsing Accuracy for Spanish using Maltparser.

Miguel Ballesteros, Jesús Herrera, Virginia Francisco, Pablo Gervás

Proces. del Leng. Natural, 2010

Towards an N-Version Dependency Parser.

Miguel Ballesteros, Jesús Herrera, Virginia Francisco, Pablo Gervás

Proceedings of the Text, Speech and Dialogue, 13th International Conference, 2010

A Feasibility Study on Low Level Techniques for Improving Parsing Accuracy for Spanish Using Maltparser.

Miguel Ballesteros, Jesús Herrera, Virginia Francisco, Pablo Gervás

Proceedings of the Artificial Intelligence: Theories, 2010

Giving Shape to an N-version Dependency Parser - Improving Dependency Parsing Accuracy for Spanish using Maltparser.

Miguel Ballesteros, Jesús Herrera, Virginia Francisco, Pablo Gervás

Proceedings of the KDIR 2010, 2010

Text Simplification using Dependency Parsing for Spanish.

Miguel Ballesteros, Susana Bautista, Pablo Gervás

Proceedings of the KDIR 2010, 2010