📰 CoNLL 2017 — accepted papers

CoNLL 2017 is the 2017 edition of the Conference on Computational Natural Language Learning (CoNLL), held in Vancouver, Canada, August 2017 (publisher: Association for Computational Linguistics). The ACL Anthology lists 86 papers of it; our library holds 15 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. Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipeMilan Straka, Jana Straková567 citations · our summary
2. Zero-Shot Relation Extraction via Reading ComprehensionOmer Levy, Minjoon Seo, Eunsol Choi et al.460 citations
3. CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal DependenciesDaniel Zeman, Martin Popel, Milan Straka et al.367 citations · our summary
4. Attention-based Recurrent Convolutional Neural Network for Automatic Essay ScoringFei Dong, Yue Zhang, Jie Yang277 citations · our summary
5. Graph-based Neural Multi-Document SummarizationMichihiro Yasunaga, Rui Zhang, Kshitijh Meelu et al.262 citations · our summary
6. Stanford's Graph-based Neural Dependency Parser at the CoNLL 2017 Shared TaskTimothy Dozat, Peng Qi, Christopher D. Manning220 citations · our summary
7. CoNLL-SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection in 52 LanguagesRyan Cotterell, Christo Kirov, John Sylak-Glassman et al.187 citations
8. Making Neural QA as Simple as Possible but not SimplerDirk Weissenborn, Georg Wiese, Laura Seiffe164 citations
9. Neural Structural Correspondence Learning for Domain AdaptationYftah Ziser, Roi Reichart120 citations
10. Neural Domain Adaptation for Biomedical Question AnsweringGeorg Wiese, Dirk Weissenborn, Mariana Neves109 citations

All accepted papers (86)

The most cited first; 15 with our summary link to their page here, the others to the original.

1. Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipeMilan Straka, Jana Straková567 citations · our summary
2. Zero-Shot Relation Extraction via Reading ComprehensionOmer Levy, Minjoon Seo, Eunsol Choi et al.460 citations
3. CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal DependenciesDaniel Zeman, Martin Popel, Milan Straka et al.367 citations · our summary
4. Attention-based Recurrent Convolutional Neural Network for Automatic Essay ScoringFei Dong, Yue Zhang, Jie Yang277 citations · our summary
5. Graph-based Neural Multi-Document SummarizationMichihiro Yasunaga, Rui Zhang, Kshitijh Meelu et al.262 citations · our summary
6. Stanford's Graph-based Neural Dependency Parser at the CoNLL 2017 Shared TaskTimothy Dozat, Peng Qi, Christopher D. Manning220 citations · our summary
7. CoNLL-SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection in 52 LanguagesRyan Cotterell, Christo Kirov, John Sylak-Glassman et al.187 citations
8. Making Neural QA as Simple as Possible but not SimplerDirk Weissenborn, Georg Wiese, Laura Seiffe164 citations
9. Neural Structural Correspondence Learning for Domain AdaptationYftah Ziser, Roi Reichart120 citations
10. Neural Domain Adaptation for Biomedical Question AnsweringGeorg Wiese, Dirk Weissenborn, Mariana Neves109 citations
11. The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze TaskRoy Schwartz, Maarten Sap, Ioannis Konstas et al.108 citations
12. A Supervised Approach to Extractive Summarisation of Scientific PapersEd Collins, Isabelle Augenstein, Sebastian Riedel106 citations
13. Named Entity Disambiguation for Noisy TextYotam Eshel, Noam Cohen, Kira Radinsky et al.96 citations
14. Data Augmentation for Morphological ReinflectionMiikka Silfverberg, Adam Wiemerslage, Ling Liu et al.73 citations · our summary
15. Embedding Words and Senses Together via Joint Knowledge-Enhanced TrainingMassimiliano Mancini, Jose Camacho-Collados, Ignacio Iacobacci et al.65 citations
16. Training Data Augmentation for Low-Resource Morphological InflectionToms Bergmanis, Katharina Kann, Hinrich Schütze et al.57 citations
17. Learning Stock Market Sentiment Lexicon and Sentiment-Oriented Word Vector from StockTwitsQuanzhi Li, Sameena Shah56 citations
18. Align and Copy: UZH at SIGMORPHON 2017 Shared Task for Morphological ReinflectionPeter Makarov, Tatiana Ruzsics, Simon Clematide53 citations
19. Cross-language Learning with Adversarial Neural NetworksShafiq Joty, Preslav Nakov, Lluís Màrquez et al.43 citations
20. Learning What is Essential in QuestionsDaniel Khashabi, Tushar Khot, Ashish Sabharwal et al.43 citations
21. From Raw Text to Universal Dependencies - Look, No Tags!Miryam de Lhoneux, Yan Shao, Ali Basirat et al.37 citations
22. Idea density for predicting Alzheimer's disease from transcribed speechKairit Sirts, Olivier Piguet, Mark Johnson37 citations
23. Learning local and global contexts using a convolutional recurrent network model for relation classification in biomedical textDesh Raj, Sunil Sahu, Ashish Anand37 citations
24. Multilingual Semantic Parsing And Code-SwitchingLong Duong, Hadi Afshar, Dominique Estival et al.37 citations
25. Learning Word Representations with Regularization from Prior KnowledgeYan Song, Chia-Jung Lee, Fei Xia36 citations

See all 86 papers in CoNLL 2017 — accepted papers →

📄 Papers with our summary in our library (15)

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

1. Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipeMilan Straka, Jana Straková2017 · 811 citations
2. CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal DependenciesDaniel Zeman, Martin Popel, Milan Straka, et al.2017 · 604 citations
3. Attention-based Recurrent Convolutional Neural Network for Automatic Essay ScoringConference on Computational Natural Language Learning (CoNLL)Fei Dong, Yue Zhang, Jie Yang2017 · 365 citations
4. Graph-based Neural Multi-Document SummarizationConference on Computational Natural Language Learning (CoNLL)Michihiro Yasunaga, Rui Zhang, Kshitijh Meelu, et al.2017 · 349 citations
5. Stanford's Graph-based Neural Dependency Parser at the CoNLL 2017 Shared TaskTimothy Dozat, Peng Qi, Christopher D. Manning2017 · 346 citations
6. Data Augmentation for Morphological ReinflectionConference on Computational Natural Language Learning (CoNLL)Miikka Silfverberg, Adam Wiemerslage, Ling Liu, et al.2017 · 122 citations
7. A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role LabelingDiego Marcheggiani, Anton Frolov, Ivan Titov2017 · 87 citations
8. Robust Coreference Resolution and Entity Linking on Dialogues: Character Identification on TV Show TranscriptsConference on Computational Natural Language Learning (CoNLL)Henry Y. Chen, Ethan Zhou, Jinho D. Choi2017 · 46 citations
9. Joint Prediction of Morphosyntactic Categories for Fine-Grained Arabic Part-of-Speech Tagging Exploiting Tag Dictionary InformationGo Inoue, Hiroyuki Shindo, Yuji Matsumoto2017 · 39 citations
10. 'IMS at the CoNLL 2017 UD Shared Task: CRFs and Perceptrons Meet Neural Networks'Anders Björkelund, Agnieszka Falenska, Xiang Yu, et al.2017 · 39 citations
11. A non-projective greedy dependency parser with bidirectional LSTMsDavid Vilares, Carlos Gómez-Rodríguez2017 · 12 citations
12. LIMSI@CoNLL'17: UD Shared TaskConference on Computational Natural Language Learning (CoNLL)Lauriane Aufrant, Guillaume Wisniewski, François Yvon2017 · 10 citations
13. 'The parse is darc and full of errors: Universal dependency parsing with transition-based and graph-based algorithms'Kuan Yu, Pavel Sofroniev, Erik Schill, et al.2017 · 6 citations
14. Initial Explorations of CCG Supertagging for Universal Dependency ParsingConference on Computational Natural Language Learning (CoNLL)Burak Kerim Akkus, Heval Azizoglu, Ruket Cakici2017 · 2 citations
15. Universal Joint Morph-Syntactic Processing: The Open University of Israel's Submission to The CoNLL 2017 Shared TaskAmir More, Reut Tsarfaty2017 · 1 citation

🧭 Top topics

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

English (7)🌐Universal Dependencies (6)🌳Dependency parsing (4)🔤Part-of-speech tagging (2)🌍Multilingual & cross-lingual NLP (2)📐Syntax & grammar formalisms (2)🏷️Named entity recognition (1)🔗Coreference resolution (1)🎭Semantic role labeling (1)📝Summarization (1)🗨️Dialogue systems (1)🧩Morphology (1)🕎Hebrew & Aramaic (1)Semitic languages (1)🖍️Grammatical error correction & learner language (1)

📚 Fields

🎭Arts and Humanities (15)🖥️Computer Science (15)

🧑‍🔬 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.

🎓Charles UniversityPrague · Czechia2 works here🎓University of TübingenTübingen · Germany2 works here🎓Stanford UniversityStanford · United States2 works here🎓University of StuttgartStuttgart · Germany1 work here🎓Université Paris-SudOrsay · France1 work here🎓University of PisaPisa · Italy1 work here🎓Universidade da CoruñaA Coruña · Spain1 work here🎓New York University Abu DhabiAbu Dhabi · United Arab Emirates1 work here🎓Uppsala UniversityUppsala · Sweden1 work here🏢GoogleMountain View · United States1 work here🔬Centre National de la Recherche ScientifiqueParis · France1 work here🔬Institut national de recherche en sciences et technologies du numériqueLe Chesnay-Rocquencourt · France1 work here

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

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/venues/conll/2017/