---
title: "TACL 2016 — all accepted papers with summaries and citations"
description: "All 39 papers of TACL 2016, the most cited first; those with our summary link to it. Among them: A Bayesian Model of Diachronic Meaning…"
canonical: "https://research.elamur.ai/free/en/venues/tacl/2016/papers/"
---
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# TACL 2016: all accepted papers

39 papers · the most cited first · [← TACL 2016](https://md.research.elamur.ai/free/en/venues/tacl/2016/)

1. **[A Bayesian Model of Diachronic Meaning Change](https://md.research.elamur.ai/free/en/papers/frermann-2016-bayesian-model-diachronic-meaning-change/)**Lea Frermann, Mirella Lapata*our summary*
2. **[A Joint Model for Answer Sentence Ranking and Answer Extraction ↗](https://aclanthology.org/Q16-1009/)**Md Arafat Sultan, Vittorio Castelli, Radu Florian
3. **[A Latent Variable Model Approach to PMI-based Word Embeddings](https://md.research.elamur.ai/free/en/papers/arora-2016-latent-variable-model-approach-pmi/)**Sanjeev Arora, Yuanzhi Li, Yingyu Liang et al.*our summary*
4. **[ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs](https://md.research.elamur.ai/free/en/papers/yin-2016-abcnn-attention-based-convolutional-neural/)**Wenpeng Yin, Hinrich Schütze, Bing Xiang et al.*our summary*
5. **[Adapting to All Domains at Once: Rewarding Domain Invariance in SMT ↗](https://aclanthology.org/Q16-1008/)**Hoang Cuong, Khalil Sima'an, Ivan Titov
6. **[An Empirical Analysis of Formality in Online Communication](https://md.research.elamur.ai/free/en/papers/pavlick-2016-empirical-analysis-formality-online-communication/)**Ellie Pavlick, Joel Tetreault*our summary*
7. **[Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies](https://md.research.elamur.ai/free/en/papers/linzen-2016-assessing-ability-lstms-learn-syntax/)**Tal Linzen, Emmanuel Dupoux, Yoav Goldberg*our summary*
8. **[Comparing Apples to Apple: The Effects of Stemmers on Topic Models ↗](https://aclanthology.org/Q16-1021/)**Alexandra Schofield, David Mimno
9. **[Concept Grounding to Multiple Knowledge Bases via Indirect Supervision ↗](https://aclanthology.org/Q16-1011/)**Chen-Tse Tsai, Dan Roth
10. **[Decoding Anagrammed Texts Written in an Unknown Language and Script ↗](https://aclanthology.org/Q16-1006/)**Bradley Hauer, Grzegorz Kondrak
11. **[Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/zhou-2016-deep-recurrent-models-fast-forward/)**Jie Zhou, Ying Cao, Xuguang Wang et al.*our summary*
12. **[Detecting Cross-Cultural Differences Using a Multilingual Topic Model ↗](https://aclanthology.org/Q16-1004/)**E.D. Gutiérrez, Ekaterina Shutova, Patricia Lichtenstein et al.
13. **[Discrete-State Variational Autoencoders for Joint Discovery and Factorization of Relations ↗](https://aclanthology.org/Q16-1017/)**Diego Marcheggiani, Ivan Titov
14. **[Easy-First Dependency Parsing with Hierarchical Tree LSTMs ↗](https://aclanthology.org/Q16-1032/)**Eliyahu Kiperwasser, Yoav Goldberg
15. **[Efficient Structured Inference for Transition-Based Parsing with Neural Networks and Error States ↗](https://aclanthology.org/Q16-1014/)**Ashish Vaswani, Kenji Sagae
16. **[Encoding Prior Knowledge with Eigenword Embeddings ↗](https://aclanthology.org/Q16-1030/)**Dominique Osborne, Shashi Narayan, Shay B. Cohen
17. **[Fast, Small and Exact: Infinite-order Language Modelling with Compressed Suffix Trees ↗](https://aclanthology.org/Q16-1034/)**Ehsan Shareghi, Matthias Petri, Gholamreza Haffari et al.
18. **[Generating Training Data for Semantic Role Labeling based on Label Transfer from Linked Lexical Resources ↗](https://aclanthology.org/Q16-1015/)**Silvana Hartmann, Judith Eckle-Kohler, Iryna Gurevych
19. **[J-NERD: Joint Named Entity Recognition and Disambiguation with Rich Linguistic Features ↗](https://aclanthology.org/Q16-1016/)**Dat Ba Nguyen, Martin Theobald, Gerhard Weikum
20. **[Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health](https://md.research.elamur.ai/free/en/papers/althoff-2016-large-scale-analysis-counseling-conversations/)**Tim Althoff, Kevin Clark, Jure Leskovec*our summary*
21. **[Learning Tier-based Strictly 2-Local Languages ↗](https://aclanthology.org/Q16-1007/)**Adam Jardine, Jeffrey Heinz
22. **[Learning to Make Inferences in a Semantic Parsing Task ↗](https://aclanthology.org/Q16-1012/)**Kyle Richardson, Jonas Kuhn
23. **[Learning to Understand Phrases by Embedding the Dictionary](https://md.research.elamur.ai/free/en/papers/hill-2016-learning-understand-phrases-embedding-dictionary/)**Felix Hill, Kyunghyun Cho, Anna Korhonen et al.*our summary*
24. **[Many Languages, One Parser](https://md.research.elamur.ai/free/en/papers/ammar-2016-many-languages-one-parser/)**Waleed Ammar, George Mulcaire, Miguel Ballesteros et al.*our summary*
25. **[Minimally Supervised Number Normalization ↗](https://aclanthology.org/Q16-1036/)**Kyle Gorman, Richard Sproat
26. **[Morpho-syntactic Lexicon Generation Using Graph-based Semi-supervised Learning ↗](https://aclanthology.org/Q16-1001/)**Manaal Faruqui, Ryan McDonald, Radu Soricut
27. **[Multi-lingual Dependency Parsing Evaluation: a Large-scale Analysis of Word Order Properties using Artificial Data ↗](https://aclanthology.org/Q16-1025/)**Kristina Gulordava, Paola Merlo
28. **[Multilingual Projection for Parsing Truly Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/agic-2016-multilingual-projection-parsing-truly-low/)**Željko Agić, Anders Johannsen, Barbara Plank et al.*our summary*
29. **[Named Entity Recognition with Bidirectional LSTM-CNNs ↗](https://aclanthology.org/Q16-1026/)**Jason P.C. Chiu, Eric Nichols
30. **[Optimizing Statistical Machine Translation for Text Simplification](https://md.research.elamur.ai/free/en/papers/xu-2016-optimizing-statistical-machine-translation-text/)**Wei Xu, Courtney Napoles, Ellie Pavlick et al.*our summary*
31. **[Reassessing the Goals of Grammatical Error Correction: Fluency Instead of Grammaticality ↗](https://aclanthology.org/Q16-1013/)**Keisuke Sakaguchi, Courtney Napoles, Matt Post et al.
32. **[Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations](https://md.research.elamur.ai/free/en/papers/kiperwasser-2016-simple-accurate-dependency-parsing-bidirectional/)**Eliyahu Kiperwasser, Yoav Goldberg*our summary*
33. **[Sparse Non-negative Matrix Language Modeling ↗](https://aclanthology.org/Q16-1024/)**Joris Pelemans, Noam Shazeer, Ciprian Chelba
34. **[The Galactic Dependencies Treebanks: Getting More Data by Synthesizing New Languages](https://md.research.elamur.ai/free/en/papers/wang-2016-galactic-dependencies-treebanks-getting-more/)**Dingquan Wang, Jason Eisner*our summary*
35. **[Transforming Dependency Structures to Logical Forms for Semantic Parsing ↗](https://aclanthology.org/Q16-1010/)**Siva Reddy, Oscar Täckström, Michael Collins et al.
36. **[Understanding Satirical Articles Using Common-Sense ↗](https://aclanthology.org/Q16-1038/)**Dan Goldwasser, Xiao Zhang
37. **[Unsupervised Part-Of-Speech Tagging with Anchor Hidden Markov Models ↗](https://aclanthology.org/Q16-1018/)**Karl Stratos, Michael Collins, Daniel Hsu
38. **[Utilizing Temporal Information for Taxonomy Construction ↗](https://aclanthology.org/Q16-1039/)**Luu Anh Tuan, Siu Cheung Hui, See Kiong Ng
39. **[Word Embeddings as Metric Recovery in Semantic Spaces ↗](https://aclanthology.org/Q16-1020/)**Tatsunori B. Hashimoto, David Alvarez-Melis, Tommi S. Jaakkola
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