📰 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.

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 BeyondRamesh Nallapati, Bowen Zhou, Cicero dos Santos et al.2,327 citations
2. Generating Sentences from a Continuous SpaceSamuel R. Bowman, Luke Vilnis, Oriol Vinyals et al.1,977 citations · our summary
3. context2vec: Learning Generic Context Embedding with Bidirectional LSTMOren Melamud, Jacob Goldberger, Ido Dagan513 citations · our summary
4. Joint Learning of the Embedding of Words and Entities for Named Entity DisambiguationIkuya Yamada, Hiroyuki Shindo, Hideaki Takeda et al.332 citations · our summary
5. Modelling Context with User Embeddings for Sarcasm Detection in Social MediaSilvio Amir, Byron C. Wallace, Hao Lyu et al.272 citations · our summary
6. Compression of Neural Machine Translation Models via PruningAbigail See, Minh-Thang Luong, Christopher D. Manning184 citations
7. CoNLL 2016 Shared Task on Multilingual Shallow Discourse ParsingNianwen Xue, Hwee Tou Ng, Sameer Pradhan et al.109 citations · our summary
8. Cross-Lingual Named Entity Recognition via WikificationChen-Tse Tsai, Stephen Mayhew, Dan Roth103 citations
9. Entity Disambiguation by Knowledge and Text Jointly EmbeddingWei Fang, Jianwen Zhang, Dilin Wang et al.83 citations
10. Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series `Friends'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 BeyondRamesh Nallapati, Bowen Zhou, Cicero dos Santos et al.2,327 citations
2. Generating Sentences from a Continuous SpaceSamuel R. Bowman, Luke Vilnis, Oriol Vinyals et al.1,977 citations · our summary
3. context2vec: Learning Generic Context Embedding with Bidirectional LSTMOren Melamud, Jacob Goldberger, Ido Dagan513 citations · our summary
4. Joint Learning of the Embedding of Words and Entities for Named Entity DisambiguationIkuya Yamada, Hiroyuki Shindo, Hideaki Takeda et al.332 citations · our summary
5. Modelling Context with User Embeddings for Sarcasm Detection in Social MediaSilvio Amir, Byron C. Wallace, Hao Lyu et al.272 citations · our summary
6. Compression of Neural Machine Translation Models via PruningAbigail See, Minh-Thang Luong, Christopher D. Manning184 citations
7. CoNLL 2016 Shared Task on Multilingual Shallow Discourse ParsingNianwen Xue, Hwee Tou Ng, Sameer Pradhan et al.109 citations · our summary
8. Cross-Lingual Named Entity Recognition via WikificationChen-Tse Tsai, Stephen Mayhew, Dan Roth103 citations
9. Entity Disambiguation by Knowledge and Text Jointly EmbeddingWei Fang, Jianwen Zhang, Dilin Wang et al.83 citations
10. Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series `Friends'Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya et al.68 citations · our summary
11. Event Embeddings for Semantic Script ModelingAshutosh Modi63 citations
12. Semi-supervised Clustering for Short Text via Deep Representation LearningZhiguo Wang, Haitao Mi, Abraham Ittycheriah57 citations
13. Leveraging Cognitive Features for Sentiment AnalysisAbhijit Mishra, Diptesh Kanojia, Seema Nagar et al.53 citations
14. Neighborhood Mixture Model for Knowledge Base CompletionDat Quoc Nguyen, Kairit Sirts, Lizhen Qu et al.48 citations
15. Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMsSwabha 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 projectionMeng Fang, Trevor Cohn42 citations
17. Event Linking with Sentential Features from Convolutional Neural NetworksSebastian Krause, Feiyu Xu, Hans Uszkoreit et al.38 citations
18. Semi-supervised Convolutional Networks for Translation Adaptation with Tiny Amount of In-domain DataBoxing Chen, Fei Huang32 citations
19. Shallow Discourse Parsing Using Convolutional Neural NetworkLianhui Qin, Zhisong Zhang, Hai Zhao29 citations · our summary
20. Two End-to-end Shallow Discourse Parsers for English and Chinese in CoNLL-2016 Shared TaskJianxiang Wang, Man Lan29 citations · our summary
21. Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word EmbeddingsTodor Mihaylov, Anette Frank28 citations · our summary
22. Robust Non-Explicit Neural Discourse Parser in English and ChineseAttapol Rutherford, Nianwen Xue25 citations · our summary
23. Do We Really Need All Those Rich Linguistic Features? A Neural Network-Based Approach to Implicit Sense LabelingNiko Schenk, Christian Chiarcos, Kathrin Donandt et al.19 citations
24. OPT: Oslo–Potsdam–Teesside. Pipelining Rules, Rankers, and Classifier Ensembles for Shallow Discourse ParsingStephan Oepen, Jonathon Read, Tatjana Scheffler et al.16 citations · our summary
25. A Constituent Syntactic Parse Tree Based Discourse ParserZhongyi Li, Hai Zhao, Chenxi Pang et al.13 citations · our summary

See all 53 papers in CoNLL 2016 — accepted 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 SpaceConference on Computational Natural Language Learning (CoNLL)Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, et al.2016 · 2,379 citations
2. context2vec: Learning Generic Context Embedding with Bidirectional LSTMConference on Computational Natural Language Learning (CoNLL)Oren Melamud, Jacob Goldberger, Ido Dagan2016 · 672 citations
3. Joint Learning of the Embedding of Words and Entities for Named Entity DisambiguationConference on Computational Natural Language Learning (CoNLL)Ikuya Yamada, Hiroyuki Shindo, Hideaki Takeda, et al.2016 · 427 citations
4. Modelling Context with User Embeddings for Sarcasm Detection in Social MediaConference on Computational Natural Language Learning (CoNLL)Silvio Amir, Byron C. Wallace, Hao Lyu, et al.2016 · 349 citations
5. CoNLL 2016 Shared Task on Multilingual Shallow Discourse ParsingNianwen Xue, Hwee Tou Ng, Sameer Pradhan, et al.2016 · 187 citations
6. Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series ‘Friends'Conference on Computational Natural Language Learning (CoNLL)Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, et al.2016 · 87 citations
7. Shallow Discourse Parsing Using Convolutional Neural NetworkConference on Computational Natural Language Learning (CoNLL)Lianhui Qin, Zhisong Zhang, Hai Zhao2016 · 47 citations
8. Two End-to-end Shallow Discourse Parsers for English and Chinese in CoNLL-2016 Shared TaskConference on Computational Natural Language Learning (CoNLL)Jianxiang Wang, Man Lan2016 · 47 citations
9. Robust Non-Explicit Neural Discourse Parser in English and ChineseConference on Computational Natural Language Learning (CoNLL)Attapol Rutherford, Nianwen Xue2016 · 41 citations
10. Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word EmbeddingsConference on Computational Natural Language Learning (CoNLL)Todor Mihaylov, Anette Frank2016 · 40 citations
11. OPT: Oslo–Potsdam–Teesside. Pipelining Rules, Rankers, and Classifier Ensembles for Shallow Discourse ParsingConference on Computational Natural Language Learning (CoNLL)Stephan Oepen, Jonathon Read, Tatjana Scheffler, et al.2016 · 26 citations
12. A Constituent Syntactic Parse Tree Based Discourse ParserConference on Computational Natural Language Learning (CoNLL)Zhongyi Li, Hai Zhao, Chenxi Pang, et al.2016 · 23 citations
13. Coreference in Wikipedia: Main Concept ResolutionConference on Computational Natural Language Learning (CoNLL)Abbas Ghaddar, Phillippe Langlais2016 · 20 citations
14. Adapting Event Embedding for Implicit Discourse Relation RecognitionConference on Computational Natural Language Learning (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 TaskConference on Computational Natural Language Learning (CoNLL)Evgeny Stepanov, Giuseppe Riccardi2016 · 11 citations
16. Modelling the Usage of Discourse Connectives as Rational Speech ActsFrances Yung, Kevin Duh, Taku Komura, et al.2016 · 5 citations
17. SoNLP-DP System for ConLL-2016 English Shallow Discourse ParsingConference on Computational Natural Language Learning (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)English (5)😊Sentiment & emotion (2)🏷️Named entity recognition (1)🔗Coreference resolution (1)🗨️Dialogue systems (1)🌍Multilingual & cross-lingual NLP (1)

📚 Fields

🎭Arts and Humanities (17)🖥️Computer Science (17)🎯Decision Sciences (1)💭Psychology (1)

🧑‍🔬 Top authors

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

🏛️ Top institutions

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

🎓Shanghai Jiao Tong UniversityShanghai · China2 works here🎓Brandeis UniversityWaltham · United States2 works here🎓Nara Institute of Science and TechnologyIkoma · Japan2 works here🎓University of EdinburghEdinburgh · United Kingdom2 works here🔬Instituto de Engenharia de Sistemas e Computadores Investigação e DesenvolvimentoLisbon · Portugal1 work here🏢GoogleMountain View · United States1 work here🎓Bar-Ilan UniversityRamat Gan · Israel1 work here🎓University of LisbonLisbon · Portugal1 work here🎓Johns Hopkins UniversityBaltimore · United States1 work here🎓Indian Institute of Technology BombayMumbai · India1 work here🎓National University of SingaporeSingapore · Singapore1 work here🎓University of PotsdamPotsdam · Germany1 work here

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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