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title: "Transactions of the Association for Computational"
description: "Transactions of the Association for Computational Linguistics (TACL) 2016 — papers: 13 papers in the Elamur Research library, with our…"
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# Transactions of the Association for Computational Linguistics (TACL) 2016 — papers

The works of Transactions of the Association for Computational Linguistics (TACL) published in 2016 that our library holds (publisher: The MIT Press): 13 works, listed below with the most cited first; each has a page with our summary, its key points and its references.

[**39** works that year](#all) · [**13** works in our library](https://md.research.elamur.ai/free/en/venues/tacl/2016/#works) · [**6,505** citations of these works](https://md.research.elamur.ai/free/en/venues/tacl/2016/#works)

## All works of the year (39)

The most cited first; 13 with our summary link to their page here, the others to the original.

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

[See all 39 papers in Transactions of the Association for Computational Linguistics (TACL) 2016 — papers →](https://md.research.elamur.ai/free/en/venues/tacl/2016/papers/)

## Works with our summary in our library (13)

The most cited first (OpenAlex citations plus our library's).

1. **[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/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Tal Linzen, Emmanuel Dupoux, Yoav Goldberg*2016 · 1,243 citations*
2. **[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/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Wenpeng Yin, Hinrich Schütze, Bing Xiang, et al.*2016 · 1,054 citations*
3. [**Optimizing Statistical Machine Translation for Text Simplification**Wei Xu, Courtney Napoles, Ellie Pavlick, et al.*2016 · 952 citations*](https://md.research.elamur.ai/free/en/papers/xu-2016-optimizing-statistical-machine-translation-text/)
4. [**Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations**Eliyahu Kiperwasser, Yoav Goldberg*2016 · 905 citations*](https://md.research.elamur.ai/free/en/papers/kiperwasser-2016-simple-accurate-dependency-parsing-bidirectional/)
5. **[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/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Tim Althoff, Kevin Clark, Jure Leskovec*2016 · 390 citations*
6. **[Many Languages, One Parser](https://md.research.elamur.ai/free/en/papers/ammar-2016-many-languages-one-parser/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Waleed Ammar, George Mulcaire, Miguel Ballesteros, et al.*2016 · 382 citations*
7. **[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/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Sanjeev Arora, Yuanzhi Li, Yingyu Liang, et al.*2016 · 367 citations*
8. **[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/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jie Zhou, Ying Cao, Xuguang Wang, et al.*2016 · 264 citations*
9. **[Learning to Understand Phrases by Embedding the Dictionary](https://md.research.elamur.ai/free/en/papers/hill-2016-learning-understand-phrases-embedding-dictionary/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Felix Hill, Kyunghyun Cho, Anna Korhonen, et al.*2016 · 234 citations*
10. [**An Empirical Analysis of Formality in Online Communication**Ellie Pavlick, Joel Tetreault*2016 · 215 citations*](https://md.research.elamur.ai/free/en/papers/pavlick-2016-empirical-analysis-formality-online-communication/)
11. **[A Bayesian Model of Diachronic Meaning Change](https://md.research.elamur.ai/free/en/papers/frermann-2016-bayesian-model-diachronic-meaning-change/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Lea Frermann, Mirella Lapata*2016 · 205 citations*
12. **[Multilingual Projection for Parsing Truly Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/agic-2016-multilingual-projection-parsing-truly-low/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Željko Agić, Anders Johannsen, Barbara Plank, et al.*2016 · 195 citations*
13. [**The Galactic Dependencies Treebanks: Getting More Data by Synthesizing New Languages**Dingquan Wang, Jason Eisner*2016 · 99 citations*](https://md.research.elamur.ai/free/en/papers/wang-2016-galactic-dependencies-treebanks-getting-more/)

## Top topics

Topics of its works in our library, with the number of works on each.

[Machine translation (3)](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Multilingual & cross-lingual NLP (2)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [English (2)](https://md.research.elamur.ai/free/en/topics/english/) · [Dependency parsing (1)](https://md.research.elamur.ai/free/en/topics/dependency-parsing/) · [Universal Dependencies (1)](https://md.research.elamur.ai/free/en/topics/universal-dependencies/) · [Treebanks (1)](https://md.research.elamur.ai/free/en/topics/treebanks/) · [Low-resource languages (1)](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [Syntax & grammar formalisms (1)](https://md.research.elamur.ai/free/en/topics/syntax-grammar/) · [Historical linguistics & language change (1)](https://md.research.elamur.ai/free/en/topics/language-change/)

## Fields

[Computer Science (13)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (12)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Psychology (1)](https://md.research.elamur.ai/free/en/shelves/psychology/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Yoav Goldberg**2 works here · 2,148 citations](https://md.research.elamur.ai/free/en/authors/yoav-goldberg/) · [🧑‍🔬**Wei Xu**2 works here · 1,216 citations](https://md.research.elamur.ai/free/en/authors/wei-xu/) · [🧑‍🔬**Ellie Pavlick**2 works here · 1,167 citations](https://md.research.elamur.ai/free/en/authors/ellie-pavlick/) · [🧑‍🔬**Emmanuel Dupoux**1 work here · 1,243 citations](https://md.research.elamur.ai/free/en/authors/emmanuel-dupoux/) · [🧑‍🔬**Tal Linzen**1 work here · 1,243 citations](https://md.research.elamur.ai/free/en/authors/tal-linzen/) · [🧑‍🔬**Bing Xiang**1 work here · 1,054 citations](https://md.research.elamur.ai/free/en/authors/bing-xiang/) · [🧑‍🔬**Bowen Zhou**1 work here · 1,054 citations](https://md.research.elamur.ai/free/en/authors/bowen-zhou/) · [🧑‍🔬**Hinrich Schütze**1 work here · 1,054 citations](https://md.research.elamur.ai/free/en/authors/hinrich-schutze/) · [🧑‍🔬**Wenpeng Yin**1 work here · 1,054 citations](https://md.research.elamur.ai/free/en/authors/wenpeng-yin/) · [🧑‍🔬**Chris Callison-Burch**1 work here · 952 citations](https://md.research.elamur.ai/free/en/authors/chris-callison-burch/) · [🧑‍🔬**Courtney Napoles**1 work here · 952 citations](https://md.research.elamur.ai/free/en/authors/courtney-napoles/) · [🧑‍🔬**Eliyahu Kiperwasser**1 work here · 905 citations](https://md.research.elamur.ai/free/en/authors/eliyahu-kiperwasser/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🎓**Bar-Ilan University** Ramat Gan · Israel 2 works here](https://md.research.elamur.ai/free/en/universities/bar-ilan-university/) · [🎓**Johns Hopkins University** Baltimore · United States 2 works here](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/) · [🎓**University of Pennsylvania** Philadelphia · United States 2 works here](https://md.research.elamur.ai/free/en/universities/university-of-pennsylvania/) · [🎓**University of Copenhagen** Copenhagen · Denmark 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-copenhagen/) · [🔬**Centre National de la Recherche Scientifique** Paris · France 1 work here](https://md.research.elamur.ai/free/en/labs/centre-national-de-la-recherche-scientifique/) · [🔬**Institut national de recherche en sciences et technologies du numérique** Le Chesnay-Rocquencourt · France 1 work here](https://md.research.elamur.ai/free/en/labs/institut-national-de-recherche-en-sciences-et-technologies-du-numerique/) · [🏢**IBM** Armonk · United States 1 work here](https://md.research.elamur.ai/free/en/companies/ibm/) · [🎓**University of Groningen** Groningen · Netherlands 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-groningen/) · [🎓**Universitat Pompeu Fabra** Barcelona · Spain 1 work here](https://md.research.elamur.ai/free/en/universities/universitat-pompeu-fabra/) · [🎓**Princeton University** Princeton · United States 1 work here](https://md.research.elamur.ai/free/en/universities/princeton-university/) · [🎓**University of Washington** Seattle · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🎓**University of Cambridge** Cambridge · United Kingdom 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/)

works and citations from OpenAlex and our library.

- [← previous TACL 2015](https://md.research.elamur.ai/free/en/venues/tacl/2015/)
- [next → TACL 2017](https://md.research.elamur.ai/free/en/venues/tacl/2017/)
- [↑ back to TACL](https://md.research.elamur.ai/free/en/venues/tacl/)