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TACL 2014: all accepted papers

43 papers · the most cited first · ← TACL 2014

  1. A Tabular Method for Dynamic Oracles in Transition-Based ParsingYoav Goldberg, Francesco Sartorio, Giorgio Satta
  2. Automatic Detection and Language Identification of Multilingual DocumentsMarco Lui, Jey Han Lau, Timothy Baldwinour summary
  3. Dense Event Ordering with a Multi-Pass ArchitectureNathanael Chambers, Taylor Cassidy, Bill McDowell et al.
  4. Discriminative Lexical Semantic Segmentation with Gaps: Running the MWE GamutNathan Schneider, Emily Danchik, Chris Dyer et al.our summary
  5. Dynamic Language Models for Streaming TextDani Yogatama, Chong Wang, Bryan R. Routledge et al.
  6. Entity Linking meets Word Sense Disambiguation: a Unified ApproachAndrea Moro, Alessandro Raganato, Roberto Navigliour summary
  7. Exploiting Social Network Structure for Person-to-Person Sentiment AnalysisRobert West, Hristo S. Paskov, Jure Leskovec et al.
  8. Extracting Lexically Divergent Paraphrases from TwitterWei Xu, Alan Ritter, Chris Callison-Burch et al.
  9. Grounded Compositional Semantics for Finding and Describing Images with SentencesRichard Socher, Andrej Karpathy, Quoc V. Le et al.our summary
  10. Joint Incremental Disfluency Detection and Dependency ParsingMatthew Honnibal, Mark Johnsonour summary
  11. Large-scale Semantic Parsing without Question-Answer PairsSiva Reddy, Mirella Lapata, Mark Steedman
  12. Learning Strictly Local Subsequential FunctionsJane Chandlee, Rémi Eyraud, Jeffrey Heinz
  13. Online Adaptor Grammars with Hybrid InferenceKe Zhai, Jordan Boyd-Graber, Shay B. Cohen
  14. Parallel Algorithms for Unsupervised TaggingSujith Ravi, Sergei Vassilivitskii, Vibhor Rastogi
  15. Predicting the Difficulty of Language Proficiency TestsLisa Beinborn, Torsten Zesch, Iryna Gurevych
  16. Temporal Annotation in the Clinical DomainWilliam F. Styler IV, Steven Bethard, Sean Finan et al.our summary
  17. The Benefits of a Model of AnnotationRebecca J. Passonneau, Bob Carpenterour summary
  18. The Language Demographics of Amazon Mechanical TurkEllie Pavlick, Matt Post, Ann Irvine et al.
  19. TreeTalk: Composition and Compression of Trees for Image DescriptionsPolina Kuznetsova, Vicente Ordonez, Tamara L. Berg et al.

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