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Miguel Ballesteros
On the Evolution of Syntactic Information Encoded by BERT's Contextualized Representations

Feb 10, 2021
Laura Pérez-Mayos, Roberto Carlini, Miguel Ballesteros, Leo Wanner


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

Jan 26, 2021
Kailash Karthik Saravanakumar, Miguel Ballesteros, Muthu Kumar Chandrasekaran, Kathleen McKeown

* To appear in Proceedings of The 16th Conference of the European Chapter of the Association for Computational Linguistics 
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To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging

Oct 27, 2020
Kasturi Bhattacharjee, Miguel Ballesteros, Rishita Anubhai, Smaranda Muresan, Jie Ma, Faisal Ladhak, Yaser Al-Onaizan

* Accepted in the Proceedings of 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)(https://2020.emnlp.org/papers/main) 
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Linking Entities to Unseen Knowledge Bases with Arbitrary Schemas

Oct 21, 2020
Yogarshi Vyas, Miguel Ballesteros


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Transition-based Parsing with Stack-Transformers

Oct 20, 2020
Ramon Fernandez Astudillo, Miguel Ballesteros, Tahira Naseem, Austin Blodgett, Radu Florian

* Accepted to Findings of EMNLP2020, open review https://openreview.net/forum?id=b36spsuUAde, code https://github.com/IBM/transition-amr-parser 
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Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models

Oct 12, 2020
Ethan Wilcox, Peng Qian, Richard Futrell, Ryosuke Kohita, Roger Levy, Miguel Ballesteros

* To appear at EMNLP 2020 
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Resource-Enhanced Neural Model for Event Argument Extraction

Oct 06, 2020
Jie Ma, Shuai Wang, Rishita Anubhai, Miguel Ballesteros, Yaser Al-Onaizan

* Findings of EMNLP 2020 
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Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events

Apr 08, 2020
Miguel Ballesteros, Rishita Anubhai, Shuai Wang, Nima Pourdamghani, Yogarshi Vyas, Jie Ma, Parminder Bhatia, Kathleen McKeown, Yaser Al-Onaizan


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Transition-Based Dependency Parsing using Perceptron Learner

Jan 28, 2020
Rahul Radhakrishnan Iyer, Miguel Ballesteros, Chris Dyer, Robert Frederking

* This was part of an assignment at my graduate course at LTI. This does not offer any major novelties 
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Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning

May 31, 2019
Tahira Naseem, Abhishek Shah, Hui Wan, Radu Florian, Salim Roukos, Miguel Ballesteros

* Accepted as short paper at ACL 2019 
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Structural Supervision Improves Learning of Non-Local Grammatical Dependencies

Apr 06, 2019
Ethan Wilcox, Peng Qian, Richard Futrell, Miguel Ballesteros, Roger Levy

* To appear: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies 
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Neural Language Models as Psycholinguistic Subjects: Representations of Syntactic State

Mar 08, 2019
Richard Futrell, Ethan Wilcox, Takashi Morita, Peng Qian, Miguel Ballesteros, Roger Levy

* Accepted to NAACL 2019. Not yet edited into the camera-ready version 
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Recursive Subtree Composition in LSTM-Based Dependency Parsing

Feb 26, 2019
Miryam de Lhoneux, Miguel Ballesteros, Joakim Nivre

* Accepted at NAACL 2019 
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Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs

Jul 05, 2018
Swabha Swayamdipta, Miguel Ballesteros, Chris Dyer, Noah A. Smith

* Proceedings of CoNLL 2016; 13 pages, 5 figures 
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Multilingual Neural Machine Translation with Task-Specific Attention

Jun 08, 2018
Graeme Blackwood, Miguel Ballesteros, Todd Ward

* COLING 2018 
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Scheduled Multi-Task Learning: From Syntax to Translation

Apr 24, 2018
Eliyahu Kiperwasser, Miguel Ballesteros

* Transactions of the Association for Computational Linguistics, 6:225-240 (2018) 
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Multimodal Emoji Prediction

Apr 17, 2018
Francesco Barbieri, Miguel Ballesteros, Francesco Ronzano, Horacio Saggion

* NAACL 2018 (short) 
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Pieces of Eight: 8-bit Neural Machine Translation

Apr 13, 2018
Jerry Quinn, Miguel Ballesteros

* To appear at NAACL 2018 Industry Track 
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AMR Parsing using Stack-LSTMs

Aug 02, 2017
Miguel Ballesteros, Yaser Al-Onaizan

* EMNLP 2017 
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Are Emojis Predictable?

Feb 24, 2017
Francesco Barbieri, Miguel Ballesteros, Horacio Saggion

* To appear at EACL 2017 
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DyNet: The Dynamic Neural Network Toolkit

Jan 15, 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

* 33 pages 
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What Do Recurrent Neural Network Grammars Learn About Syntax?

Jan 10, 2017
Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Graham Neubig, Noah A. Smith

* 10 pages. To appear in EACL 2017, Valencia, Spain 
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Recurrent Neural Network Grammars

Oct 12, 2016
Chris Dyer, Adhiguna Kuncoro, Miguel Ballesteros, Noah A. Smith

* Proceedings of NAACL 2016 (contains corrigendum) 
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Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser

Sep 24, 2016
Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Noah A. Smith

* 10 pages. To appear at EMNLP 2016 
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Training with Exploration Improves a Greedy Stack-LSTM Parser

Sep 13, 2016
Miguel Ballesteros, Yoav Goldberg, Chris Dyer, Noah A. Smith

* In proceedings of EMNLP 2016 
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Many Languages, One Parser

Jul 26, 2016
Waleed Ammar, George Mulcaire, Miguel Ballesteros, Chris Dyer, Noah A. Smith


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Neural Architectures for Named Entity Recognition

Apr 07, 2016
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, Chris Dyer

* Proceedings of NAACL 2016 
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Static and Dynamic Feature Selection in Morphosyntactic Analyzers

Mar 21, 2016
Bernd Bohnet, Miguel Ballesteros, Ryan McDonald, Joakim Nivre


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