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ORCID21st CoNLL 2017: Vancouver, Canada
- Roger Levy, Lucia Specia:
Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), Vancouver, Canada, August 3-4, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-54-8 - Chris Dyer:
Should Neural Network Architecture Reflect Linguistic Structure? 1 - Naomi Feldman:
Rational Distortions of Learners' Linguistic Input. 2 - Émile Enguehard, Yoav Goldberg, Tal Linzen:
Exploring the Syntactic Abilities of RNNs with Multi-task Learning. 3-14 - Roy Schwartz, Maarten Sap, Ioannis Konstas, Leila Zilles, Yejin Choi, Noah A. Smith:
The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task. 15-25 - Weiwei Sun, Yantao Du, Xiaojun Wan:
Parsing for Grammatical Relations via Graph Merging. 26-35 - I-Hsuan Chen, Yunfei Long, Qin Lu, Chu-Ren Huang:
Leveraging Eventive Information for Better Metaphor Detection and Classification. 36-46 - Olga Uryupina
, Alessandro Moschitti:
Collaborative Partitioning for Coreference Resolution. 47-57 - Yotam Eshel, Noam Cohen, Kira Radinsky, Shaul Markovitch, Ikuya Yamada, Omer Levy:
Named Entity Disambiguation for Noisy Text. 58-68 - Rebecca Sharp, Mihai Surdeanu, Peter Jansen, Marco Antonio Valenzuela-Escárcega, Peter Clark, Michael Hammond:
Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification. 69-79 - Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Dan Roth:
Learning What is Essential in Questions. 80-89 - Huadong Chen, Shujian Huang, David Chiang, Xin-Yu Dai, Jiajun Chen:
Top-Rank Enhanced Listwise Optimization for Statistical Machine Translation. 90-99 - Massimiliano Mancini, José Camacho-Collados, Ignacio Iacobacci, Roberto Navigli:
Embedding Words and Senses Together via Joint Knowledge-Enhanced Training. 100-111 - Ivan Vulic, Roy Schwartz, Ari Rappoport, Roi Reichart, Anna Korhonen:
Automatic Selection of Context Configurations for Improved Class-Specific Word Representations. 112-122 - Shoaib Jameel, Steven Schockaert:
Modeling Context Words as Regions: An Ordinal Regression Approach to Word Embedding. 123-133 - Fatemeh Torabi Asr, Michael N. Jones:
An Artificial Language Evaluation of Distributional Semantic Models. 134-142 - Yan Song, Chia-Jung Lee, Fei Xia:
Learning Word Representations with Regularization from Prior Knowledge. 143-152 - Fei Dong, Yue Zhang, Jie Yang:
Attention-based Recurrent Convolutional Neural Network for Automatic Essay Scoring. 153-162 - Michael J. Paul:
Feature Selection as Causal Inference: Experiments with Text Classification. 163-172 - Haoruo Peng, Snigdha Chaturvedi, Dan Roth:
A Joint Model for Semantic Sequences: Frames, Entities, Sentiments. 173-183 - Tatyana Ruzsics, Tanja Samardzic:
Neural Sequence-to-sequence Learning of Internal Word Structure. 184-194 - Ed Collins, Isabelle Augenstein, Sebastian Riedel:
A Supervised Approach to Extractive Summarisation of Scientific Papers. 195-205 - Shraey Bhatia, Jey Han Lau, Timothy Baldwin:
An Automatic Approach for Document-level Topic Model Evaluation. 206-215 - Henry Y. Chen, Ethan Zhou, Jinho D. Choi:
Robust Coreference Resolution and Entity Linking on Dialogues: Character Identification on TV Show Transcripts. 216-225 - Shafiq R. Joty, Preslav Nakov, Lluís Màrquez, Israa Jaradat:
Cross-language Learning with Adversarial Neural Networks. 226-237 - Adithya Renduchintala, Philipp Koehn, Jason Eisner:
Knowledge Tracing in Sequential Learning of Inflected Vocabulary. 238-247 - Abulhair Saparov, Vijay A. Saraswat, Tom M. Mitchell:
A Probabilistic Generative Grammar for Semantic Parsing. 248-259 - Massimo Nicosia, Alessandro Moschitti:
Learning Contextual Embeddings for Structural Semantic Similarity using Categorical Information. 260-270 - Dirk Weissenborn, Georg Wiese, Laura Seiffe:
Making Neural QA as Simple as Possible but not Simpler. 271-280 - Georg Wiese, Dirk Weissenborn, Mariana L. Neves:
Neural Domain Adaptation for Biomedical Question Answering. 281-289 - Mans Hulden:
A phoneme clustering algorithm based on the obligatory contour principle. 290-300 - Quanzhi Li, Sameena Shah:
Learning Stock Market Sentiment Lexicon and Sentiment-Oriented Word Vector from StockTwits. 301-310 - Desh Raj, Sunil Kumar Sahu, Ashish Anand:
Learning local and global contexts using a convolutional recurrent network model for relation classification in biomedical text. 311-321 - Kairit Sirts, Olivier Piguet, Mark Johnson:
Idea density for predicting Alzheimer's disease from transcribed speech. 322-332 - Omer Levy, Minjoon Seo, Eunsol Choi, Luke Zettlemoyer:
Zero-Shot Relation Extraction via Reading Comprehension. 333-342 - Xun Zhang, Weiwei Sun, Xiaojun Wan:
The Covert Helps Parse the Overt. 343-353 - Dominik Schlechtweg, Stefanie Eckmann, Enrico Santus, Sabine Schulte im Walde, Daniel Hole:
German in Flux: Detecting Metaphoric Change via Word Entropy. 354-367 - Afra Alishahi, Marie Barking, Grzegorz Chrupala:
Encoding of phonology in a recurrent neural model of grounded speech. 368-378 - Long Duong, Hadi Afshar, Dominique Estival, Glen Pink, Philip R. Cohen, Mark Johnson:
Multilingual Semantic Parsing And Code-Switching. 379-389 - Phong Le, Ivan Titov:
Optimizing Differentiable Relaxations of Coreference Evaluation Metrics. 390-399 - Yftah Ziser, Roi Reichart:
Neural Structural Correspondence Learning for Domain Adaptation. 400-410 - Diego Marcheggiani, Anton Frolov, Ivan Titov:
A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling. 411-420 - Go Inoue, Hiroyuki Shindo, Yuji Matsumoto:
Joint Prediction of Morphosyntactic Categories for Fine-Grained Arabic Part-of-Speech Tagging Exploiting Tag Dictionary Information. 421-431 - Younes Samih, Mohamed Eldesouki, Mohammed Attia, Kareem Darwish, Ahmed Abdelali, Hamdy Mubarak, Laura Kallmeyer:
Learning from Relatives: Unified Dialectal Arabic Segmentation. 432-441 - Van-Khanh Tran, Le-Minh Nguyen:
Natural Language Generation for Spoken Dialogue System using RNN Encoder-Decoder Networks. 442-451 - Michihiro Yasunaga, Rui Zhang, Kshitijh Meelu, Ayush Pareek, Krishnan Srinivasan, Dragomir R. Radev:
Graph-based Neural Multi-Document Summarization. 452-462
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