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ORCID55th ACL 2017: Vancouver, Canada
- Regina Barzilay, Min-Yen Kan:
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, July 30 - August 4, Volume 2: Short Papers. Association for Computational Linguistics 2017, ISBN 978-1-945626-76-0 - Fei Cheng
, Yusuke Miyao:
Classifying Temporal Relations by Bidirectional LSTM over Dependency Paths. 1-6 - Linfeng Song, Xiaochang Peng, Yue Zhang, Zhiguo Wang, Daniel Gildea:
AMR-to-text Generation with Synchronous Node Replacement Grammar. 7-13 - Nafise Sadat Moosavi, Michael Strube:
Lexical Features in Coreference Resolution: To be Used With Caution. 14-19 - Milos Stanojevic, Khalil Sima'an:
Alternative Objective Functions for Training MT Evaluation Metrics. 20-25 - Maxime Peyrard, Judith Eckle-Kohler:
A Principled Framework for Evaluating Summarizers: Comparing Models of Summary Quality against Human Judgments. 26-31 - Emily Prud'hommeaux, Jan P. H. van Santen, Douglas Gliner:
Vector space models for evaluating semantic fluency in autism. 32-37 - Raymond Hendy Susanto, Wei Lu:
Neural Architectures for Multilingual Semantic Parsing. 38-44 - Andrey Malinin, Anton Ragni, Kate M. Knill, Mark J. F. Gales:
Incorporating Uncertainty into Deep Learning for Spoken Language Assessment. 45-50 - David Jurgens, Yulia Tsvetkov, Dan Jurafsky:
Incorporating Dialectal Variability for Socially Equitable Language Identification. 51-57 - Glorianna Jagfeld, Patrick Ziering, Lonneke van der Plas:
Evaluating Compound Splitters Extrinsically with Textual Entailment. 58-63 - Spandana Gella, Frank Keller:
An Analysis of Action Recognition Datasets for Language and Vision Tasks. 64-71 - Akiko Eriguchi, Yoshimasa Tsuruoka, Kyunghyun Cho:
Learning to Parse and Translate Improves Neural Machine Translation. 72-78 - Fatemeh Almodaresi, Lyle H. Ungar, Vivek Kulkarni, Mohsen Zakeri, Salvatore Giorgi, H. Andrew Schwartz:
On the Distribution of Lexical Features at Multiple Levels of Analysis. 79-84 - Sergiu Nisioi, Sanja Stajner, Simone Paolo Ponzetto, Liviu P. Dinu:
Exploring Neural Text Simplification Models. 85-91 - Daniel Dahlmeier:
On the Challenges of Translating NLP Research into Commercial Products. 92-96 - Sanja Stajner, Marc Franco-Salvador, Simone Paolo Ponzetto, Paolo Rosso, Heiner Stuckenschmidt:
Sentence Alignment Methods for Improving Text Simplification Systems. 97-102 - Youxuan Jiang, Jonathan K. Kummerfeld, Walter S. Lasecki:
Understanding Task Design Trade-offs in Crowdsourced Paraphrase Collection. 103-109 - Peng Qi, Christopher D. Manning:
Arc-swift: A Novel Transition System for Dependency Parsing. 110-117 - Jianpeng Cheng, Adam Lopez, Mirella Lapata:
A Generative Parser with a Discriminative Recognition Algorithm. 118-124 - Weiyue Wang, Tamer Alkhouli, Derui Zhu, Hermann Ney:
Hybrid Neural Network Alignment and Lexicon Model in Direct HMM for Statistical Machine Translation. 125-131 - Roee Aharoni, Yoav Goldberg:
Towards String-To-Tree Neural Machine Translation. 132-140 - Lena Reed, JiaQi Wu, Shereen Oraby, Pranav Anand, Marilyn A. Walker:
Learning Lexico-Functional Patterns for First-Person Affect. 141-147 - Lei Shu, Hu Xu, Bing Liu:
Lifelong Learning CRF for Supervised Aspect Extraction. 148-154 - Ye Zhang, Matthew Lease, Byron C. Wallace:
Exploiting Domain Knowledge via Grouped Weight Sharing with Application to Text Categorization. 155-160 - Daniel Fried, Mitchell Stern, Dan Klein:
Improving Neural Parsing by Disentangling Model Combination and Reranking Effects. 161-166 - Oren Melamud, Jacob Goldberger:
Information-Theory Interpretation of the Skip-Gram Negative-Sampling Objective Function. 167-171 - Michaeel Kazi, Brian Thompson:
Implicitly-Defined Neural Networks for Sequence Labeling. 172-177 - Bogdan Ludusan, Reiko Mazuka, Mathieu Bernard, Alejandrina Cristià, Emmanuel Dupoux:
The Role of Prosody and Speech Register in Word Segmentation: A Computational Modelling Perspective. 178-183 - Yizhong Wang, Sujian Li, Houfeng Wang:
A Two-Stage Parsing Method for Text-Level Discourse Analysis. 184-188 - Keisuke Sakaguchi, Matt Post, Benjamin Van Durme:
Error-repair Dependency Parsing for Ungrammatical Texts. 189-195 - Jindrich Libovický, Jindrich Helcl:
Attention Strategies for Multi-Source Sequence-to-Sequence Learning. 196-202 - Xinyu Hua, Lu Wang:
Understanding and Detecting Diverse Supporting Arguments on Controversial Issues. 203-208 - Afshin Rahimi, Trevor Cohn, Timothy Baldwin:
A Neural Model for User Geolocation and Lexical Dialectology. 209-216 - Alane Suhr, Mike Lewis, James Yeh, Yoav Artzi:
A Corpus of Natural Language for Visual Reasoning. 217-223 - Julien Tourille, Olivier Ferret, Aurélie Névéol, Xavier Tannier:
Neural Architecture for Temporal Relation Extraction: A Bi-LSTM Approach for Detecting Narrative Containers. 224-230 - Zhiliang Tian, Rui Yan, Lili Mou, Yiping Song, Yansong Feng, Dongyan Zhao:
How to Make Context More Useful? An Empirical Study on Context-Aware Neural Conversational Models. 231-236 - Chloé Braud, Ophélie Lacroix, Anders Søgaard:
Cross-lingual and cross-domain discourse segmentation of entire documents. 237-243 - Beata Beigman Klebanov, Binod Gyawali, Yi Song:
Detecting Good Arguments in a Non-Topic-Specific Way: An Oxymoron? 244-249 - Henning Wachsmuth, Nona Naderi, Ivan Habernal, Yufang Hou, Graeme Hirst, Iryna Gurevych, Benno Stein:
Argumentation Quality Assessment: Theory vs. Practice. 250-255 - Samuel Rönnqvist, Niko Schenk, Christian Chiarcos:
A Recurrent Neural Model with Attention for the Recognition of Chinese Implicit Discourse Relations. 256-262 - Xinhao Wang, James V. Bruno, Hillary Molloy, Keelan Evanini, Klaus Zechner:
Discourse Annotation of Non-native Spontaneous Spoken Responses Using the Rhetorical Structure Theory Framework. 263-268 - Changxing Wu, Xiaodong Shi, Yidong Chen, Jinsong Su, Boli Wang:
Improving Implicit Discourse Relation Recognition with Discourse-specific Word Embeddings. 269-274 - Tsutomu Hirao, Masaaki Nishino, Masaaki Nagata:
Oracle Summaries of Compressive Summarization. 275-280 - Shun Hasegawa, Yuta Kikuchi, Hiroya Takamura, Manabu Okumura:
Japanese Sentence Compression with a Large Training Dataset. 281-286 - Pablo Loyola, Edison Marrese-Taylor, Yutaka Matsuo:
A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes. 287-292 - Sam Wei, Igor Korostil, Joel Nothman, Ben Hachey:
English Event Detection With Translated Language Features. 293-298 - Denis Savenkov, Eugene Agichtein:
EviNets: Neural Networks for Combining Evidence Signals for Factoid Question Answering. 299-304 - Travis Wolfe, Mark Dredze, Benjamin Van Durme:
Pocket Knowledge Base Population. 305-310 - Tushar Khot, Ashish Sabharwal, Peter Clark:
Answering Complex Questions Using Open Information Extraction. 311-316 - Swarnadeep Saha, Harinder Pal, Mausam:
Bootstrapping for Numerical Open IE. 317-323 - Alexandros Komninos, Suresh Manandhar:
Feature-Rich Networks for Knowledge Base Completion. 324-329 - Maxim Rabinovich, Dan Klein:
Fine-Grained Entity Typing with High-Multiplicity Assignments. 330-334 - Mingbo Ma, Liang Huang, Bing Xiang, Bowen Zhou:
Group Sparse CNNs for Question Classification with Answer Sets. 335-340 - Isabelle Augenstein, Anders Søgaard:
Multi-Task Learning of Keyphrase Boundary Classification. 341-346 - Paramita Mirza, Simon Razniewski, Fariz Darari, Gerhard Weikum:
Cardinal Virtues: Extracting Relation Cardinalities from Text. 347-351 - Gabriel Stanovsky, Judith Eckle-Kohler, Yevgeniy Puzikov, Ido Dagan, Iryna Gurevych:
Integrating Deep Linguistic Features in Factuality Prediction over Unified Datasets. 352-357 - Rajarshi Das, Manzil Zaheer, Siva Reddy, Andrew McCallum:
Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks. 358-365 - Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick:
Differentiable Scheduled Sampling for Credit Assignment. 366-371 - Hongyu Guo:
A Deep Network with Visual Text Composition Behavior. 372-377 - Long Zhou, Wenpeng Hu, Jiajun Zhang, Chengqing Zong:
Neural System Combination for Machine Translation. 378-384 - Chenhui Chu, Raj Dabre, Sadao Kurohashi:
An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation. 385-391 - Benjamin Marie, Atsushi Fujita:
Efficient Extraction of Pseudo-Parallel Sentences from Raw Monolingual Data Using Word Embeddings. 392-398 - Shervin Malmasi, Mark Dras:
Feature Hashing for Language and Dialect Identification. 399-403 - Yow-Ting Shiue, Hen-Hsen Huang, Hsin-Hsi Chen:
Detection of Chinese Word Usage Errors for Non-Native Chinese Learners with Bidirectional LSTM. 404-410 - Maria Ryskina, Hannah Alpert-Abrams, Dan Garrette, Taylor Berg-Kirkpatrick:
Automatic Compositor Attribution in the First Folio of Shakespeare. 411-416 - Yuya Yoshikawa, Yutaro Shigeto, Akikazu Takeuchi:
STAIR Captions: Constructing a Large-Scale Japanese Image Caption Dataset. 417-421 - William Yang Wang:
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection. 422-426 - Akihiko Kato, Hiroyuki Shindo, Yuji Matsumoto:
English Multiword Expression-aware Dependency Parsing Including Named Entities. 427-432 - Thomas Kober, Julie Weeds, Jeremy Reffin, David J. Weir:
Improving Semantic Composition with Offset Inference. 433-440 - Marzieh Fadaee, Arianna Bisazza, Christof Monz:
Learning Topic-Sensitive Word Representations. 441-447 - Terrence Szymanski:
Temporal Word Analogies: Identifying Lexical Replacement with Diachronic Word Embeddings. 448-453 - Mohammed Elrazzaz, Shady Elbassuoni, Khaled Bashir Shaban, Chadi Helwe:
Methodical Evaluation of Arabic Word Embeddings. 454-458 - Hannah Rashkin, Eric Bell, Yejin Choi, Svitlana Volkova:
Multilingual Connotation Frames: A Case Study on Social Media for Targeted Sentiment Analysis and Forecast. 459-464 - Svetlana Kiritchenko, Saif M. Mohammad:
Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation. 465-470 - Sunghwan Mac Kim, Qiongkai Xu, Lizhen Qu, Stephen Wan, Cécile Paris:
Demographic Inference on Twitter using Recursive Neural Networks. 471-477 - Prashanth Vijayaraghavan, Soroush Vosoughi, Deb Roy:
Twitter Demographic Classification Using Deep Multi-modal Multi-task Learning. 478-483 - Xueying Zhan, Yaowei Wang, Yanghui Rao, Haoran Xie, Qing Li, Fu Lee Wang, Tak-Lam Wong:
A Network Framework for Noisy Label Aggregation in Social Media. 484-490 - Rob van der Goot, Gertjan van Noord:
Parser Adaptation for Social Media by Integrating Normalization. 491-497 - Minghui Qiu, Feng-Lin Li, Siyu Wang, Xing Gao, Yan Chen, Weipeng Zhao, Haiqing Chen, Jun Huang, Wei Chu:
AliMe Chat: A Sequence to Sequence and Rerank based Chatbot Engine. 498-503 - Xiaoyu Shen, Hui Su, Yanran Li, Wenjie Li, Shuzi Niu, Yang Zhao, Akiko Aizawa, Guoping Long:
A Conditional Variational Framework for Dialog Generation. 504-509 - Sewon Min, Min Joon Seo, Hannaneh Hajishirzi:
Question Answering through Transfer Learning from Large Fine-grained Supervision Data. 510-517 - Azad Abad, Moin Nabi, Alessandro Moschitti:
Self-Crowdsourcing Training for Relation Extraction. 518-523 - Quan Hung Tran, Gholamreza Haffari, Ingrid Zukerman:
A Generative Attentional Neural Network Model for Dialogue Act Classification. 524-529 - Nedelina Teneva, Weiwei Cheng:
Salience Rank: Efficient Keyphrase Extraction with Topic Modeling. 530-535 - Ying Lin, Chin-Yew Lin, Heng Ji:
List-only Entity Linking. 536-541 - Lingzhen Chen, Carlo Strapparava, Vivi Nastase:
Improving Native Language Identification by Using Spelling Errors. 542-546 - Paria Jamshid Lou, Mark Johnson:
Disfluency Detection using a Noisy Channel Model and a Deep Neural Language Model. 547-553 - Katsuhiko Hayashi, Masashi Shimbo:
On the Equivalence of Holographic and Complex Embeddings for Link Prediction. 554-559 - Rui Wang, Andrew M. Finch, Masao Utiyama, Eiichiro Sumita:
Sentence Embedding for Neural Machine Translation Domain Adaptation. 560-566 - Marzieh Fadaee, Arianna Bisazza, Christof Monz:
Data Augmentation for Low-Resource Neural Machine Translation. 567-573 - Xing Shi, Kevin Knight:
Speeding Up Neural Machine Translation Decoding by Shrinking Run-time Vocabulary. 574-579 - Hao Zhou, Zhaopeng Tu, Shujian Huang, Xiaohua Liu, Hang Li, Jiajun Chen:
Chunk-Based Bi-Scale Decoder for Neural Machine Translation. 580-586 - Meng Fang, Trevor Cohn:
Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary. 587-593 - Claudio Delli Bovi, José Camacho-Collados, Alessandro Raganato, Roberto Navigli:
EuroSense: Automatic Harvesting of Multilingual Sense Annotations from Parallel Text. 594-600 - Hassan Sajjad, Fahim Dalvi, Nadir Durrani, Ahmed Abdelali, Yonatan Belinkov, Stephan Vogel:
Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging. 601-607 - Deng Cai, Hai Zhao, Zhisong Zhang, Yuan Xin, Yongjian Wu, Feiyue Huang:
Fast and Accurate Neural Word Segmentation for Chinese. 608-615 - Zheng Cai, Lifu Tu, Kevin Gimpel:
Pay Attention to the Ending: Strong Neural Baselines for the ROC Story Cloze Task. 616-622 - Jonathan Herzig, Jonathan Berant:
Neural Semantic Parsing over Multiple Knowledge-bases. 623-628 - Jiaqi Mu, Suma Bhat, Pramod Viswanath:
Representing Sentences as Low-Rank Subspaces. 629-634 - Shuming Ma, Xu Sun, Jingjing Xu, Houfeng Wang, Wenjie Li, Qi Su:
Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization. 635-640 - Krishna Chaitanya Sanagavarapu, Alakananda Vempala, Eduardo Blanco:
Determining Whether and When People Participate in the Events They Tweet About. 641-646 - Svitlana Volkova, Kyle Shaffer, Jin Yea Jang, Nathan Oken Hodas:
Separating Facts from Fiction: Linguistic Models to Classify Suspicious and Trusted News Posts on Twitter. 647-653 - Youngseo Son, Anneke Buffone, Joe Raso, Allegra Larche, Anthony Janocko, Kevin Zembroski, H. Andrew Schwartz, Lyle H. Ungar:
Recognizing Counterfactual Thinking in Social Media Texts. 654-658 - Mohammed Hasanuzzaman, Sabyasachi Kamila, Mandeep Kaur, Sriparna Saha, Asif Ekbal:
Temporal Orientation of Tweets for Predicting Income of Users. 659-665 - Alymzhan Toleu, Gulmira Tolegen, Aibek Makazhanov:
Character-Aware Neural Morphological Disambiguation. 666-671 - Xiang Yu, Ngoc Thang Vu:
Character Composition Model with Convolutional Neural Networks for Dependency Parsing on Morphologically Rich Languages. 672-678 - Zeljko Agic, Natalie Schluter:
How (not) to train a dependency parser: The curious case of jackknifing part-of-speech taggers. 679-684
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