🧑‍🔬 Miguel Ballesteros — all works

29 works · ← Miguel Ballesteros

1. Neural Architectures for Named Entity RecognitionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, et al.2016 · 5,319 citations
2. Transition-Based Dependency Parsing with Stack Long Short-Term MemoryChris Dyer, Miguel Ballesteros, Wang Ling, et al.English · 868 citations
3. Recurrent Neural Network Grammars ↗Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetChris Dyer et al.2016 · 770 citations
4. DyNet: The Dynamic Neural Network ToolkitarXiv:1701.03980Graham Neubig, Chris Dyer, Yoav Goldberg, et al.2017 · 489 citations
5. Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMsConference on Empirical Methods in Natural Language Processing (EMNLP)Miguel Ballesteros, Chris Dyer, Noah A. Smith2015 · 403 citations
6. Many Languages, One ParserTransactions of the Association for Computational Linguistics (TACL)Waleed Ammar, George Mulcaire, Miguel Ballesteros, et al.2016 · 382 citations
7. Neural language models as psycholinguistic subjects: Representations of syntactic stateConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Richard Futrell, Ethan Wilcox, Takashi Morita, et al.2019 · 292 citations
8. SemEval 2018 Task 2: Multilingual Emoji PredictionInternational Workshop on Semantic Evaluation (SemEval)Francesco Barbieri, Jose Camacho-Collados, Francesco Ronzano, et al.2018 · 204 citations
9. Scheduled Multi-Task Learning: From Syntax to TranslationTransactions of the Association for Computational Linguistics (TACL)Eliyahu Kiperwasser, Miguel Ballesteros2018 · 130 citations
10. AMR Parsing using Stack-LSTMs ↗Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yetMiguel Ballesteros, Yaser Al-Onaizan2017 · 106 citations
11. Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetTahira Naseem et al.2019 · 102 citations
12. Structural Supervision Improves Learning of Non-Local Grammatical Dependencies ↗Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yetEthan Wilcox et al.2019 · 102 citations
13. Training with Exploration Improves a Greedy Stack LSTM Parser ↗Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yetMiguel Ballesteros et al.2016 · 99 citations
14. Transition-based Parsing with Stack-Transformers ↗Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yetRamón Fernandez Astudillo et al.2020 · 96 citations
15. What Do Recurrent Neural Network Grammars Learn About Syntax? ↗arXiv:1611.05774 · no summary yetAdhiguna Kuncoro et al.2016 · 83 citations
16. Multimodal Emoji Prediction ↗Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers) · no summary yetFrancesco Barbieri et al.2018 · 61 citations
17. Universal Dependencies 2.0 – CoNLL 2017 Shared Task Development and Test Data ↗Americanae (AECID Library) · no summary yetJoakim Nivre et al.2017 · 61 citations
18. Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis ↗Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis · no summary yetSiddharth Varia et al.2023 · 58 citations
19. Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser ↗Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yetAdhiguna Kuncoro et al.2016 · 57 citations
20. Comparing Biases and the Impact of Multilingual Training across Multiple Languages ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetSharon Levy et al.2023 · 40 citations
21. Sequential Cross-Document Coreference ResolutionConference on Empirical Methods in Natural Language Processing (EMNLP)Emily Allaway, Shuai Wang, Miguel Ballesteros2021 · 22 citations
22. Barriers to Discrete Reasoning with Transformers: A Survey Across Depth, Exactness, and BandwidthConference of the European Chapter of the Association for Computational Linguistics (EACL)Michelle Yuan, Weiyi Sun, Amir H. Rezaeian, et al.2026 · 3 citations
23. MT-OSC: Path for LLMs that Get Lost in Multi-Turn ConversationFindings of the Association for Computational LinguisticsJyotika Singh, Fang Tu, Miguel Ballesteros, et al.2026 · 3 citations
24. Characterizing and Measuring Linguistic Dataset Drift ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetTyler A. Chang et al.2023 · 2 citations
25. GSM-SEM: Benchmark and Framework for Generating Semantically Variant Augmentations ↗arXiv (Cornell University) · no summary yetJyotika Singh et al.2026 · 1 citation
26. Taxonomy Expansion for Named Entity Recognition ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetKarthikeyan K et al.2023 · 1 citation
27. NewsQs: Multi-Source Question Generation for the Inquiring Mind ↗arXiv (Cornell University) · no summary yetAlyssa Hwang et al.2024
28. Universal Dependencies 2.0 alpha (obsolete) ↗Americanae (AECID Library) · no summary yetJoakim Nivre et al.2017
29. A Proposal for a Spanish Surface Realization Shared Task ↗Proceedings of the 13th European Workshop on Natural Language Generation · no summary yetPablo Gervás, Miguel Ballesteros2011

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