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title: "Transactions of the Association for Computational"
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# Transactions of the Association for Computational Linguistics (TACL) 2017 — papers

The works of Transactions of the Association for Computational Linguistics (TACL) published in 2017 that our library holds (publisher: The MIT Press): 9 works, listed below with the most cited first; each has a page with our summary, its key points and its references.

[**37** works that year](#all) · [**9** works in our library](https://md.research.elamur.ai/free/en/venues/tacl/2017/#works) · [**14,195** citations of these works](https://md.research.elamur.ai/free/en/venues/tacl/2017/#works)

## All works of the year (37)

The most cited first; 9 with our summary link to their page here, the others to the original.

1. **[A Generative Model of Phonotactics](https://aclanthology.org/Q17-1006/)**Richard Futrell, Adam Albright, Peter Graff et al.
2. **[A Polynomial-Time Dynamic Programming Algorithm for Phrase-Based Decoding with a Fixed Distortion Limit](https://aclanthology.org/Q17-1005/)**Yin-Wen Chang, Michael Collins
3. **[Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge](https://aclanthology.org/Q17-1037/)**Ryan J. Gallagher, Kyle Reing, David Kale et al.
4. **[Aspect-augmented Adversarial Networks for Domain Adaptation](https://aclanthology.org/Q17-1036/)**Yuan Zhang, Regina Barzilay, Tommi Jaakkola
5. **[Automatically Tagging Constructions of Causation and Their Slot-Fillers](https://aclanthology.org/Q17-1009/)**Jesse Dunietz, Lori Levin, Jaime Carbonell
6. **[Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding](https://md.research.elamur.ai/free/en/papers/monroe-2017-colors-context-pragmatic-neural-model/)**Will Monroe, Robert X.D. Hawkins, Noah D. Goodman et al.*our summary*
7. **[Context Gates for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/tu-2017-context-gates-neural-machine-translation/)**Zhaopeng Tu, Yang Liu, Zhengdong Lu et al.*our summary*
8. **[Cross-Lingual Syntactic Transfer with Limited Resources](https://aclanthology.org/Q17-1020/)**Mohammad Sadegh Rasooli, Michael Collins
9. **[Cross-Sentence N-ary Relation Extraction with Graph LSTMs](https://md.research.elamur.ai/free/en/papers/peng-2017-cross-sentence-n-ary-relation/)**Nanyun Peng, Hoifung Poon, Chris Quirk et al.*our summary*
10. **[Domain-Targeted, High Precision Knowledge Extraction](https://aclanthology.org/Q17-1017/)**Bhavana Dalvi Mishra, Niket Tandon, Peter Clark
11. **[Enriching Word Vectors with Subword Information](https://md.research.elamur.ai/free/en/papers/bojanowski-2017-enriching-word-vectors-subword-information/)**Piotr Bojanowski, Edouard Grave, Armand Joulin et al.*our summary*
12. **[Evaluating Low-Level Speech Features Against Human Perceptual Data](https://aclanthology.org/Q17-1030/)**Caitlin Richter, Naomi H. Feldman, Harini Salgado et al.
13. **[Evaluating Visual Representations for Topic Understanding and Their Effects on Manually Generated Topic Labels](https://aclanthology.org/Q17-1001/)**Alison Smith, Tak Yeon Lee, Forough Poursabzi-Sangdeh et al.
14. **[Fine-Grained Prediction of Syntactic Typology: Discovering Latent Structure with Supervised Learning](https://aclanthology.org/Q17-1011/)**Dingquan Wang, Jason Eisner
15. **[Fully Character-Level Neural Machine Translation without Explicit Segmentation](https://md.research.elamur.ai/free/en/papers/lee-2017-fully-character-level-neural-machine/)**Jason Lee, Kyunghyun Cho, Thomas Hofmann*our summary*
16. **[Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation](https://aclanthology.org/Q17-1024/)**Melvin Johnson, Mike Schuster, Quoc V. Le et al.
17. **[Head-Lexicalized Bidirectional Tree LSTMs](https://aclanthology.org/Q17-1012/)**Zhiyang Teng, Yue Zhang
18. **[In-Order Transition-based Constituent Parsing](https://md.research.elamur.ai/free/en/papers/liu-2017-order-transition-based-constituent-parsing/)**Jiangming Liu, Yue Zhang*our summary*
19. **[Joint Modeling of Topics, Citations, and Topical Authority in Academic Corpora](https://aclanthology.org/Q17-1014/)**Jooyeon Kim, Dongwoo Kim, Alice Oh
20. **[Joint Prediction of Word Alignment with Alignment Types](https://aclanthology.org/Q17-1035/)**Anahita Mansouri Bigvand, Te Bu, Anoop Sarkar
21. **[Learning Distributed Representations of Texts and Entities from Knowledge Base](https://aclanthology.org/Q17-1028/)**Ikuya Yamada, Hiroyuki Shindo, Hideaki Takeda et al.
22. **[Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing](https://aclanthology.org/Q17-1019/)**Tim Vieira, Jason Eisner
23. **[Modeling Semantic Expectation: Using Script Knowledge for Referent Prediction](https://aclanthology.org/Q17-1003/)**Ashutosh Modi, Ivan Titov, Vera Demberg et al.
24. **[Nonparametric Bayesian Semi-supervised Word Segmentation](https://aclanthology.org/Q17-1013/)**Ryo Fujii, Ryo Domoto, Daichi Mochihashi
25. **[Ordinal Common-sense Inference](https://md.research.elamur.ai/free/en/papers/zhang-2017-ordinal-common-sense-inference/)**Sheng Zhang, Rachel Rudinger, Kevin Duh et al.*our summary*

[See all 37 papers in Transactions of the Association for Computational Linguistics (TACL) 2017 — papers →](https://md.research.elamur.ai/free/en/venues/tacl/2017/papers/)

## Works with our summary in our library (9)

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

1. **[Enriching Word Vectors with Subword Information](https://md.research.elamur.ai/free/en/papers/bojanowski-2017-enriching-word-vectors-subword-information/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Piotr Bojanowski, Edouard Grave, Armand Joulin, et al.*2017 · 11,848 citations*
2. **[Cross-Sentence N-ary Relation Extraction with Graph LSTMs](https://md.research.elamur.ai/free/en/papers/peng-2017-cross-sentence-n-ary-relation/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Nanyun Peng, Hoifung Poon, Chris Quirk, et al.*2017 · 554 citations*
3. **[Fully Character-Level Neural Machine Translation without Explicit Segmentation](https://md.research.elamur.ai/free/en/papers/lee-2017-fully-character-level-neural-machine/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jason Lee, Kyunghyun Cho, Thomas Hofmann*2017 · 551 citations*
4. **[Generating Sentences by Editing Prototypes](https://md.research.elamur.ai/free/en/papers/guu-2017-generating-sentences-editing-prototypes/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Kelvin Guu, Tatsunori B. Hashimoto, Yonatan Oren, et al.*2017 · 407 citations*
5. **[Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints](https://md.research.elamur.ai/free/en/papers/mrksic-2017-semantic-specialization-distributional-word-vector/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Nikola Mrkšić, Ivan Vulić, Diarmuid Ó Séaghdha, et al.*2017 · 236 citations*
6. **[Ordinal Common-sense Inference](https://md.research.elamur.ai/free/en/papers/zhang-2017-ordinal-common-sense-inference/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Sheng Zhang, Rachel Rudinger, Kevin Duh, et al.*2017 · 192 citations*
7. **[Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding](https://md.research.elamur.ai/free/en/papers/monroe-2017-colors-context-pragmatic-neural-model/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Will Monroe, Robert X.D. Hawkins, Noah D. Goodman, et al.*2017 · 155 citations*
8. **[Context Gates for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/tu-2017-context-gates-neural-machine-translation/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Zhaopeng Tu, Yang Liu, Zhengdong Lu, et al.*2017 · 153 citations*
9. **[In-Order Transition-based Constituent Parsing](https://md.research.elamur.ai/free/en/papers/liu-2017-order-transition-based-constituent-parsing/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jiangming Liu, Yue Zhang*2017 · 99 citations*

## Top topics

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

[Machine translation (2)](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Information extraction (1)](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Multilingual & cross-lingual NLP (1)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Reasoning (1)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Syntax & grammar formalisms (1)](https://md.research.elamur.ai/free/en/topics/syntax-grammar/) · [Tokenization & segmentation (1)](https://md.research.elamur.ai/free/en/topics/tokenization/)

## Fields

[Computer Science (9)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (8)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Biochemistry, Genetics and Molecular Biology (1)](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [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.

[🧑‍🔬**Armand Joulin**1 work here · 11,848 citations](https://md.research.elamur.ai/free/en/authors/armand-joulin/) · [🧑‍🔬**Edouard Grave**1 work here · 11,848 citations](https://md.research.elamur.ai/free/en/authors/edouard-grave/) · [🧑‍🔬**Piotr Bojanowski**1 work here · 11,848 citations](https://md.research.elamur.ai/free/en/authors/piotr-bojanowski/) · [🧑‍🔬**Tomas Mikolov**1 work here · 11,848 citations](https://md.research.elamur.ai/free/en/authors/tomas-mikolov/) · [🧑‍🔬**Chris Quirk**1 work here · 554 citations](https://md.research.elamur.ai/free/en/authors/chris-quirk/) · [🧑‍🔬**Hoifung Poon**1 work here · 554 citations](https://md.research.elamur.ai/free/en/authors/hoifung-poon/) · [🧑‍🔬**Kristina Toutanova**1 work here · 554 citations](https://md.research.elamur.ai/free/en/authors/kristina-toutanova/) · [🧑‍🔬**Nanyun Peng**1 work here · 554 citations](https://md.research.elamur.ai/free/en/authors/nanyun-peng/) · [🧑‍🔬**Wen-tau Yih**1 work here · 554 citations](https://md.research.elamur.ai/free/en/authors/wen-tau-yih/) · [🧑‍🔬**Jason Lee**1 work here · 551 citations](https://md.research.elamur.ai/free/en/authors/jason-lee/) · [🧑‍🔬**Kyunghyun Cho**1 work here · 551 citations](https://md.research.elamur.ai/free/en/authors/kyunghyun-cho/) · [🧑‍🔬**Thomas Hofmann**1 work here · 551 citations](https://md.research.elamur.ai/free/en/authors/thomas-hofmann/)

## Top institutions

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

[🎓**Johns Hopkins University** Baltimore · United States 2 works here](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/) · [🎓**Stanford University** Stanford · United States 2 works here](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🏢**Microsoft** Redmond · United States 1 work here](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🏢**Google** Mountain View · United States 1 work here](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Singapore University of Technology and Design** Singapore · Singapore 1 work here](https://md.research.elamur.ai/free/en/universities/singapore-university-of-technology-and-design/) · [🎓**Technion – Israel Institute of Technology** Haifa · Israel 1 work here](https://md.research.elamur.ai/free/en/universities/technion-israel-institute-of-technology/) · [🏢**Huawei Technologies** Shenzhen · China 1 work here](https://md.research.elamur.ai/free/en/companies/huawei-technologies/) · [🎓**University of Cambridge** Cambridge · United Kingdom 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/) · [🎓**ETH Zurich** Zurich · Switzerland 1 work here](https://md.research.elamur.ai/free/en/universities/eth-zurich/) · [🏢**Meta** Menlo Park · United States 1 work here](https://md.research.elamur.ai/free/en/companies/meta/) · [🏢**Apple** Cupertino · United States 1 work here](https://md.research.elamur.ai/free/en/companies/apple/) · [🎓**New York University** New York · United States 1 work here](https://md.research.elamur.ai/free/en/universities/new-york-university/)

works and citations from OpenAlex and our library.

- [← previous TACL 2016](https://md.research.elamur.ai/free/en/venues/tacl/2016/)
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