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TACL 2017: all accepted papers

37 papers · the most cited first · ← TACL 2017

  1. A Generative Model of PhonotacticsRichard Futrell, Adam Albright, Peter Graff et al.
  2. Aspect-augmented Adversarial Networks for Domain AdaptationYuan Zhang, Regina Barzilay, Tommi Jaakkola
  3. Colors in Context: A Pragmatic Neural Model for Grounded Language UnderstandingWill Monroe, Robert X.D. Hawkins, Noah D. Goodman et al.our summary
  4. Context Gates for Neural Machine TranslationZhaopeng Tu, Yang Liu, Zhengdong Lu et al.our summary
  5. Cross-Lingual Syntactic Transfer with Limited ResourcesMohammad Sadegh Rasooli, Michael Collins
  6. Cross-Sentence N-ary Relation Extraction with Graph LSTMsNanyun Peng, Hoifung Poon, Chris Quirk et al.our summary
  7. Domain-Targeted, High Precision Knowledge ExtractionBhavana Dalvi Mishra, Niket Tandon, Peter Clark
  8. Enriching Word Vectors with Subword InformationPiotr Bojanowski, Edouard Grave, Armand Joulin et al.our summary
  9. Evaluating Low-Level Speech Features Against Human Perceptual DataCaitlin Richter, Naomi H. Feldman, Harini Salgado et al.
  10. In-Order Transition-based Constituent ParsingJiangming Liu, Yue Zhangour summary
  11. Joint Prediction of Word Alignment with Alignment TypesAnahita Mansouri Bigvand, Te Bu, Anoop Sarkar
  12. Learning Distributed Representations of Texts and Entities from Knowledge BaseIkuya Yamada, Hiroyuki Shindo, Hideaki Takeda et al.
  13. Nonparametric Bayesian Semi-supervised Word SegmentationRyo Fujii, Ryo Domoto, Daichi Mochihashi
  14. Ordinal Common-sense InferenceSheng Zhang, Rachel Rudinger, Kevin Duh et al.our summary
  15. Pushing the Limits of Translation Quality EstimationAndré F. T. Martins, Marcin Junczys-Dowmunt, Fabio N. Kepler et al.
  16. Unsupervised Learning of Morphological ForestsJiaming Luo, Karthik Narasimhan, Regina Barzilay

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