TACL 2013: all accepted papers
- An HDP Model for Inducing Combinatory Categorial Grammars ↗Yonatan Bisk, Julia Hockenmaier
- Branch and Bound Algorithm for Dependency Parsing with Non-local Features ↗Xian Qian, Yang Liu
- Combined Distributional and Logical Semantics ↗Mike Lewis, Mark Steedman
- Data-Driven Metaphor Recognition and Explanation ↗Hongsong Li, Kenny Q. Zhu, Haixun Wang
- Data-driven, PCFG-based and Pseudo-PCFG-based Models for Chinese Dependency Parsing ↗Weiwei Sun, Xiaojun Wan
- Dijkstra-WSA: A Graph-Based Approach to Word Sense Alignment ↗Michael Matuschek, Iryna Gurevych
- Dual Coordinate Descent Algorithms for Efficient Large Margin Structured Prediction ↗Ming-Wei Chang, Wen-tau Yih
- Dynamically Shaping the Reordering Search Space of Phrase-Based Statistical Machine Translation ↗Arianna Bisazza, Marcello Federico
- Efficient Parsing for Head-Split Dependency Trees ↗Giorgio Satta, Marco Kuhlmann
- Efficient Stacked Dependency Parsing by Forest Reranking ↗Katsuhiko Hayashi, Shuhei Kondo, Yuji Matsumoto
- Finding Optimal 1-Endpoint-Crossing Trees ↗Emily Pitler, Sampath Kannan, Mitchell Marcus
- Good, Great, Excellent: Global Inference of Semantic Intensities ↗Gerard de Melo, Mohit Bansal
- Grounding Action Descriptions in VideosMichaela Regneri, Marcus Rohrbach, Dominikus Wetzel et al.our summary
- Incremental Tree Substitution Grammar for Parsing and Sentence Prediction ↗Federico Sangati, Frank Keller
- Joint Arc-factored Parsing of Syntactic and Semantic Dependencies ↗Xavier Lluís, Xavier Carreras, Lluís Màrquez
- Joint Morphological and Syntactic Analysis for Richly Inflected Languages ↗Bernd Bohnet, Joakim Nivre, Igor Boguslavsky et al.
- Jointly Learning to Parse and Perceive: Connecting Natural Language to the Physical WorldJayant Krishnamurthy, Thomas Kollarour summary
- Large-scale Word Alignment Using Soft Dependency Cohesion Constraints ↗Zhiguo Wang, Chengqing Zong
- Learning to translate with products of novices: a suite of open-ended challenge problems for teaching MT ↗Adam Lopez, Matt Post, Chris Callison-Burch et al.
- Measuring Machine Translation Errors in New DomainsAnn Irvine, John Morgan, Marine Carpuat et al.our summary
- Minimally-Supervised Morphological Segmentation using Adaptor GrammarsKairit Sirts, Sharon Goldwaterour summary
- Modeling Child Divergences from Adult Grammar ↗Sam Sahakian, Benjamin Snyder
- Modeling Missing Data in Distant Supervision for Information Extraction ↗Alan Ritter, Luke Zettlemoyer, Mausam et al.
- Modeling Semantic Relations Expressed by Prepositions ↗Vivek Srikumar, Dan Roth
- Parsing entire discourses as very long strings: Capturing topic continuity in grounded language learning ↗Minh-Thang Luong, Michael C. Frank, Mark Johnson
- Powergrading: a Clustering Approach to Amplify Human Effort for Short Answer Grading ↗Sumit Basu, Chuck Jacobs, Lucy Vanderwende
- Token and Type Constraints for Cross-Lingual Part-of-Speech Tagging ↗Oscar Täckström, Dipanjan Das, Slav Petrov et al.
- Training Deterministic Parsers with Non-Deterministic Oracles ↗Yoav Goldberg, Joakim Nivre
- Unsupervised Dependency Parsing with Acoustic Cues ↗John K Pate, Sharon Goldwater
- Unsupervised Tree Induction for Tree-based Translation ↗Feifei Zhai, Jiajun Zhang, Yu Zhou et al.
- Using Pivot-Based Paraphrasing and Sentiment Profiles to Improve a Subjectivity Lexicon for Essay Data ↗Beata Beigman Klebanov, Nitin Madnani, Jill Burstein
- Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to ActionsYoav Artzi, Luke Zettlemoyer · 🏆 TACL 2025 Test of Timeour summary
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