--- title: "CoNLL 2016 — accepted papers — Elamur Research" description: "CoNLL 2016 — accepted papers: 17 papers in the Elamur Research library (Berlin, Germany), with our summaries, ranked by citations." canonical: "https://research.elamur.ai/free/en/venues/conll/2016/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/conll/2016/) [home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [CoNLL](https://md.research.elamur.ai/free/en/venues/conll/) / 2016 # CoNLL 2016 — accepted papers CoNLL 2016 is the 2016 edition of the Conference on Computational Natural Language Learning (CoNLL), held in Berlin, Germany, August 2016 (publisher: Association for Computational Linguistics). The ACL Anthology lists 53 papers of it; our library holds 17 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions. [**53** papers in the proceedings](#all) · [**17** works in our library](https://md.research.elamur.ai/free/en/venues/conll/2016/#works) · [**4,375** citations of these works](https://md.research.elamur.ai/free/en/venues/conll/2016/#works)**Berlin, Germany** where it was held**August 2016** when ## Most cited papers By their OpenAlex citations; a paper with our summary links to its page here, the others to the original. 1. **[Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond](https://aclanthology.org/K16-1028/)**Ramesh Nallapati, Bowen Zhou, Cicero dos Santos et al.*2,327 citations* 2. **[Generating Sentences from a Continuous Space](https://md.research.elamur.ai/free/en/papers/bowman-2016-generating-sentences-continuous-space/)**Samuel R. Bowman, Luke Vilnis, Oriol Vinyals et al.*1,977 citations · our summary* 3. **[context2vec: Learning Generic Context Embedding with Bidirectional LSTM](https://md.research.elamur.ai/free/en/papers/melamud-2016-context2vec-learning-generic-context-embedding/)**Oren Melamud, Jacob Goldberger, Ido Dagan*513 citations · our summary* 4. **[Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation](https://md.research.elamur.ai/free/en/papers/yamada-2016-joint-learning-embedding-words-entities/)**Ikuya Yamada, Hiroyuki Shindo, Hideaki Takeda et al.*332 citations · our summary* 5. **[Modelling Context with User Embeddings for Sarcasm Detection in Social Media](https://md.research.elamur.ai/free/en/papers/amir-2016-modelling-context-user-embeddings-sarcasm/)**Silvio Amir, Byron C. Wallace, Hao Lyu et al.*272 citations · our summary* 6. **[Compression of Neural Machine Translation Models via Pruning](https://aclanthology.org/K16-1029/)**Abigail See, Minh-Thang Luong, Christopher D. Manning*184 citations* 7. **[CoNLL 2016 Shared Task on Multilingual Shallow Discourse Parsing](https://md.research.elamur.ai/free/en/papers/xue-2016-conll-2016-shared-task-multilingual/)**Nianwen Xue, Hwee Tou Ng, Sameer Pradhan et al.*109 citations · our summary* 8. **[Cross-Lingual Named Entity Recognition via Wikification](https://aclanthology.org/K16-1022/)**Chen-Tse Tsai, Stephen Mayhew, Dan Roth*103 citations* 9. **[Entity Disambiguation by Knowledge and Text Jointly Embedding](https://aclanthology.org/K16-1026/)**Wei Fang, Jianwen Zhang, Dilin Wang et al.*83 citations* 10. **[Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series `Friends'](https://md.research.elamur.ai/free/en/papers/joshi-2016-harnessing-sequence-labeling-sarcasm-detection/)**Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya et al.*68 citations · our summary* ## All accepted papers (53) The most cited first; 17 with our summary link to their page here, the others to the original. 1. **[Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond](https://aclanthology.org/K16-1028/)**Ramesh Nallapati, Bowen Zhou, Cicero dos Santos et al.*2,327 citations* 2. **[Generating Sentences from a Continuous Space](https://md.research.elamur.ai/free/en/papers/bowman-2016-generating-sentences-continuous-space/)**Samuel R. Bowman, Luke Vilnis, Oriol Vinyals et al.*1,977 citations · our summary* 3. **[context2vec: Learning Generic Context Embedding with Bidirectional LSTM](https://md.research.elamur.ai/free/en/papers/melamud-2016-context2vec-learning-generic-context-embedding/)**Oren Melamud, Jacob Goldberger, Ido Dagan*513 citations · our summary* 4. **[Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation](https://md.research.elamur.ai/free/en/papers/yamada-2016-joint-learning-embedding-words-entities/)**Ikuya Yamada, Hiroyuki Shindo, Hideaki Takeda et al.*332 citations · our summary* 5. **[Modelling Context with User Embeddings for Sarcasm Detection in Social Media](https://md.research.elamur.ai/free/en/papers/amir-2016-modelling-context-user-embeddings-sarcasm/)**Silvio Amir, Byron C. Wallace, Hao Lyu et al.*272 citations · our summary* 6. **[Compression of Neural Machine Translation Models via Pruning](https://aclanthology.org/K16-1029/)**Abigail See, Minh-Thang Luong, Christopher D. Manning*184 citations* 7. **[CoNLL 2016 Shared Task on Multilingual Shallow Discourse Parsing](https://md.research.elamur.ai/free/en/papers/xue-2016-conll-2016-shared-task-multilingual/)**Nianwen Xue, Hwee Tou Ng, Sameer Pradhan et al.*109 citations · our summary* 8. **[Cross-Lingual Named Entity Recognition via Wikification](https://aclanthology.org/K16-1022/)**Chen-Tse Tsai, Stephen Mayhew, Dan Roth*103 citations* 9. **[Entity Disambiguation by Knowledge and Text Jointly Embedding](https://aclanthology.org/K16-1026/)**Wei Fang, Jianwen Zhang, Dilin Wang et al.*83 citations* 10. **[Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series `Friends'](https://md.research.elamur.ai/free/en/papers/joshi-2016-harnessing-sequence-labeling-sarcasm-detection/)**Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya et al.*68 citations · our summary* 11. **[Event Embeddings for Semantic Script Modeling](https://aclanthology.org/K16-1008/)**Ashutosh Modi*63 citations* 12. **[Semi-supervised Clustering for Short Text via Deep Representation Learning](https://aclanthology.org/K16-1004/)**Zhiguo Wang, Haitao Mi, Abraham Ittycheriah*57 citations* 13. **[Leveraging Cognitive Features for Sentiment Analysis](https://aclanthology.org/K16-1016/)**Abhijit Mishra, Diptesh Kanojia, Seema Nagar et al.*53 citations* 14. **[Neighborhood Mixture Model for Knowledge Base Completion](https://aclanthology.org/K16-1005/)**Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu et al.*48 citations* 15. **[Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs](https://aclanthology.org/K16-1019/)**Swabha Swayamdipta, Miguel Ballesteros, Chris Dyer et al.*42 citations* 16. **[Learning when to trust distant supervision: An application to low-resource POS tagging using cross-lingual projection](https://aclanthology.org/K16-1018/)**Meng Fang, Trevor Cohn*42 citations* 17. **[Event Linking with Sentential Features from Convolutional Neural Networks](https://aclanthology.org/K16-1024/)**Sebastian Krause, Feiyu Xu, Hans Uszkoreit et al.*38 citations* 18. **[Semi-supervised Convolutional Networks for Translation Adaptation with Tiny Amount of In-domain Data](https://aclanthology.org/K16-1031/)**Boxing Chen, Fei Huang*32 citations* 19. **[Shallow Discourse Parsing Using Convolutional Neural Network](https://md.research.elamur.ai/free/en/papers/qin-2016-shallow-discourse-parsing-convolutional-neural/)**Lianhui Qin, Zhisong Zhang, Hai Zhao*29 citations · our summary* 20. **[Two End-to-end Shallow Discourse Parsers for English and Chinese in CoNLL-2016 Shared Task](https://md.research.elamur.ai/free/en/papers/wang-2016-two-end-end-shallow-discourse/)**Jianxiang Wang, Man Lan*29 citations · our summary* 21. **[Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word Embeddings](https://md.research.elamur.ai/free/en/papers/mihaylov-2016-discourse-relation-sense-classification-cross/)**Todor Mihaylov, Anette Frank*28 citations · our summary* 22. **[Robust Non-Explicit Neural Discourse Parser in English and Chinese](https://md.research.elamur.ai/free/en/papers/rutherford-2016-robust-non-explicit-neural-discourse/)**Attapol Rutherford, Nianwen Xue*25 citations · our summary* 23. **[Do We Really Need All Those Rich Linguistic Features? A Neural Network-Based Approach to Implicit Sense Labeling](https://aclanthology.org/K16-2005/)**Niko Schenk, Christian Chiarcos, Kathrin Donandt et al.*19 citations* 24. **[OPT: Oslo–Potsdam–Teesside. Pipelining Rules, Rankers, and Classifier Ensembles for Shallow Discourse Parsing](https://md.research.elamur.ai/free/en/papers/oepen-2016-opt-oslo-potsdam-teesside-pipelining/)**Stephan Oepen, Jonathon Read, Tatjana Scheffler et al.*16 citations · our summary* 25. **[A Constituent Syntactic Parse Tree Based Discourse Parser](https://md.research.elamur.ai/free/en/papers/li-2016-constituent-syntactic-parse-tree-based/)**Zhongyi Li, Hai Zhao, Chenxi Pang et al.*13 citations · our summary* [See all 53 papers in CoNLL 2016 — accepted papers →](https://md.research.elamur.ai/free/en/venues/conll/2016/papers/) ## Papers with our summary in our library (17) The most cited first (OpenAlex citations plus our library's). 1. **[Generating Sentences from a Continuous Space](https://md.research.elamur.ai/free/en/papers/bowman-2016-generating-sentences-continuous-space/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, et al.*2016 · 2,379 citations* 2. **[context2vec: Learning Generic Context Embedding with Bidirectional LSTM](https://md.research.elamur.ai/free/en/papers/melamud-2016-context2vec-learning-generic-context-embedding/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Oren Melamud, Jacob Goldberger, Ido Dagan*2016 · 672 citations* 3. **[Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation](https://md.research.elamur.ai/free/en/papers/yamada-2016-joint-learning-embedding-words-entities/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Ikuya Yamada, Hiroyuki Shindo, Hideaki Takeda, et al.*2016 · 427 citations* 4. **[Modelling Context with User Embeddings for Sarcasm Detection in Social Media](https://md.research.elamur.ai/free/en/papers/amir-2016-modelling-context-user-embeddings-sarcasm/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Silvio Amir, Byron C. Wallace, Hao Lyu, et al.*2016 · 349 citations* 5. [**CoNLL 2016 Shared Task on Multilingual Shallow Discourse Parsing**Nianwen Xue, Hwee Tou Ng, Sameer Pradhan, et al.*2016 · 187 citations*](https://md.research.elamur.ai/free/en/papers/xue-2016-conll-2016-shared-task-multilingual/) 6. **[Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series ‘Friends'](https://md.research.elamur.ai/free/en/papers/joshi-2016-harnessing-sequence-labeling-sarcasm-detection/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, et al.*2016 · 87 citations* 7. **[Shallow Discourse Parsing Using Convolutional Neural Network](https://md.research.elamur.ai/free/en/papers/qin-2016-shallow-discourse-parsing-convolutional-neural/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Lianhui Qin, Zhisong Zhang, Hai Zhao*2016 · 47 citations* 8. **[Two End-to-end Shallow Discourse Parsers for English and Chinese in CoNLL-2016 Shared Task](https://md.research.elamur.ai/free/en/papers/wang-2016-two-end-end-shallow-discourse/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Jianxiang Wang, Man Lan*2016 · 47 citations* 9. **[Robust Non-Explicit Neural Discourse Parser in English and Chinese](https://md.research.elamur.ai/free/en/papers/rutherford-2016-robust-non-explicit-neural-discourse/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Attapol Rutherford, Nianwen Xue*2016 · 41 citations* 10. **[Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word Embeddings](https://md.research.elamur.ai/free/en/papers/mihaylov-2016-discourse-relation-sense-classification-cross/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Todor Mihaylov, Anette Frank*2016 · 40 citations* 11. **[OPT: Oslo–Potsdam–Teesside. Pipelining Rules, Rankers, and Classifier Ensembles for Shallow Discourse Parsing](https://md.research.elamur.ai/free/en/papers/oepen-2016-opt-oslo-potsdam-teesside-pipelining/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Stephan Oepen, Jonathon Read, Tatjana Scheffler, et al.*2016 · 26 citations* 12. **[A Constituent Syntactic Parse Tree Based Discourse Parser](https://md.research.elamur.ai/free/en/papers/li-2016-constituent-syntactic-parse-tree-based/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Zhongyi Li, Hai Zhao, Chenxi Pang, et al.*2016 · 23 citations* 13. **[Coreference in Wikipedia: Main Concept Resolution](https://md.research.elamur.ai/free/en/papers/ghaddar-2016-coreference-wikipedia-main-concept-resolution/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Abbas Ghaddar, Phillippe Langlais*2016 · 20 citations* 14. **[Adapting Event Embedding for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/pacheco-2016-adapting-event-embedding-implicit-discourse/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Maria Leonor Pacheco, I-Ta Lee, Xiao Zhang, et al.*2016 · 11 citations* 15. **[UniTN End-to-End Discourse Parser for CoNLL 2016 Shared Task](https://md.research.elamur.ai/free/en/papers/stepanov-2016-unitn-end-end-discourse-parser/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Evgeny Stepanov, Giuseppe Riccardi*2016 · 11 citations* 16. [**Modelling the Usage of Discourse Connectives as Rational Speech Acts**Frances Yung, Kevin Duh, Taku Komura, et al.*2016 · 5 citations*](https://md.research.elamur.ai/free/en/papers/yung-2016-modelling-usage-discourse-connectives-as/) 17. **[SoNLP-DP System for ConLL-2016 English Shallow Discourse Parsing](https://md.research.elamur.ai/free/en/papers/kong-2016-sonlp-dp-system-conll-2016/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Fang Kong, Sheng Li, Junhui Li, et al.*2016 · 3 citations* ## Top topics Topics of its works in our library, with the number of works on each. [Discourse analysis (11)](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [English (5)](https://md.research.elamur.ai/free/en/topics/english/) · [Sentiment & emotion (2)](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Named entity recognition (1)](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) · [Coreference resolution (1)](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [Dialogue systems (1)](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Multilingual & cross-lingual NLP (1)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) ## Fields [Arts and Humanities (17)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (17)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Decision Sciences (1)](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [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. [🧑‍🔬**Attapol Rutherford**2 works here · 228 citations](https://md.research.elamur.ai/free/en/authors/attapol-rutherford/) · [🧑‍🔬**Nianwen Xue**2 works here · 228 citations](https://md.research.elamur.ai/free/en/authors/nianwen-xue/) · [🧑‍🔬**Hai Zhao**2 works here · 70 citations](https://md.research.elamur.ai/free/en/authors/hai-zhao/) · [🧑‍🔬**Andrew M. Dai**1 work here · 2,379 citations](https://md.research.elamur.ai/free/en/authors/andrew-m-dai/) · [🧑‍🔬**Luke Vilnis**1 work here · 2,379 citations](https://md.research.elamur.ai/free/en/authors/luke-vilnis/) · [🧑‍🔬**Oriol Vinyals**1 work here · 2,379 citations](https://md.research.elamur.ai/free/en/authors/oriol-vinyals/) · [🧑‍🔬**Rafal Jozefowicz**1 work here · 2,379 citations](https://md.research.elamur.ai/free/en/authors/rafal-jozefowicz/) · [🧑‍🔬**Samuel R. Bowman**1 work here · 2,379 citations](https://md.research.elamur.ai/free/en/authors/samuel-r-bowman/) · [🧑‍🔬**Samy Bengio**1 work here · 2,379 citations](https://md.research.elamur.ai/free/en/authors/samy-bengio/) · [🧑‍🔬**Ido Dagan**1 work here · 672 citations](https://md.research.elamur.ai/free/en/authors/ido-dagan/) · [🧑‍🔬**Jacob Goldberger**1 work here · 672 citations](https://md.research.elamur.ai/free/en/authors/jacob-goldberger/) · [🧑‍🔬**Oren Melamud**1 work here · 672 citations](https://md.research.elamur.ai/free/en/authors/oren-melamud/) ## Top institutions Institutions on the bylines of its works here, by the number of works. [🎓**Shanghai Jiao Tong University** Shanghai · China 2 works here](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🎓**Brandeis University** Waltham · United States 2 works here](https://md.research.elamur.ai/free/en/universities/brandeis-university/) · [🎓**Nara Institute of Science and Technology** Ikoma · Japan 2 works here](https://md.research.elamur.ai/free/en/universities/nara-institute-of-science-and-technology/) · [🎓**University of Edinburgh** Edinburgh · United Kingdom 2 works here](https://md.research.elamur.ai/free/en/universities/university-of-edinburgh/) · [🔬**Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento** Lisbon · Portugal 1 work here](https://md.research.elamur.ai/free/en/labs/instituto-de-engenharia-de-sistemas-e-computadores-investigacao-e/) · [🏢**Google** Mountain View · United States 1 work here](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Bar-Ilan University** Ramat Gan · Israel 1 work here](https://md.research.elamur.ai/free/en/universities/bar-ilan-university/) · [🎓**University of Lisbon** Lisbon · Portugal 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-lisbon/) · [🎓**Johns Hopkins University** Baltimore · United States 1 work here](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/) · [🎓**Indian Institute of Technology Bombay** Mumbai · India 1 work here](https://md.research.elamur.ai/free/en/universities/indian-institute-of-technology-bombay/) · [🎓**National University of Singapore** Singapore · Singapore 1 work here](https://md.research.elamur.ai/free/en/universities/national-university-of-singapore/) · [🎓**University of Potsdam** Potsdam · Germany 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-potsdam/) Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library. - [← previous CoNLL 2015](https://md.research.elamur.ai/free/en/venues/conll/2015/) - [next → CoNLL 2017](https://md.research.elamur.ai/free/en/venues/conll/2017/) - [↑ back to CoNLL](https://md.research.elamur.ai/free/en/venues/conll/)