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ORCIDHLT-NAACL 2018: New Orleans, Louisiana, USA, Volume 2 (Short Papers)
- Marilyn A. Walker, Heng Ji, Amanda Stent:
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT, New Orleans, Louisiana, USA, June 1-6, 2018, Volume 2 (Short Papers). Association for Computational Linguistics 2018, ISBN 978-1-948087-29-2 - Yufang Hou
:
Enhanced Word Representations for Bridging Anaphora Resolution. 1-7 - Rachel Rudinger, Jason Naradowsky, Brian Leonard, Benjamin Van Durme:
Gender Bias in Coreference Resolution. 8-14 - Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang:
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods. 15-20 - Ramy Baly, Mitra Mohtarami, James R. Glass, Lluís Màrquez, Alessandro Moschitti, Preslav Nakov:
Integrating Stance Detection and Fact Checking in a Unified Corpus. 21-27 - Pavithra Rajendran, Danushka Bollegala, Simon Parsons:
Is Something Better than Nothing? Automatically Predicting Stance-based Arguments Using Deep Learning and Small Labelled Dataset. 28-34 - Claudia Schulz, Steffen Eger, Johannes Daxenberger, Tobias Kahse, Iryna Gurevych:
Multi-Task Learning for Argumentation Mining in Low-Resource Settings. 35-41 - Bhuwan Dhingra, Qiao Jin, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov:
Neural Models for Reasoning over Multiple Mentions Using Coreference. 42-48 - Chenyang Huang, Osmar R. Zaïane, Amine Trabelsi, Nouha Dziri:
Automatic Dialogue Generation with Expressed Emotions. 49-54 - Chenliang Li, Weiran Xu, Si Li, Sheng Gao:
Guiding Generation for Abstractive Text Summarization Based on Key Information Guide Network. 55-60 - Shang-Yu Su, Kai-Ling Lo, Yi Ting Yeh, Yun-Nung Chen:
Natural Language Generation by Hierarchical Decoding with Linguistic Patterns. 61-66 - Marjan Ghazvininejad, Yejin Choi, Kevin Knight:
Neural Poetry Translation. 67-71 - Jekaterina Novikova, Ondrej Dusek, Verena Rieser:
RankME: Reliable Human Ratings for Natural Language Generation. 72-78 - Tu Vu, Baotian Hu, Tsendsuren Munkhdalai, Hong Yu:
Sentence Simplification with Memory-Augmented Neural Networks. 79-85 - Beata Beigman Klebanov, Chee Wee Leong, Michael Flor:
A Corpus of Non-Native Written English Annotated for Metaphor. 86-91 - Siddarth Srinivasan, Richa Arora, Mark O. Riedl:
A Simple and Effective Approach to the Story Cloze Test. 92-96 - Chaitanya Kulkarni, Wei Xu, Alan Ritter, Raghu Machiraju:
An Annotated Corpus for Machine Reading of Instructions in Wet Lab Protocols. 97-106 - Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel R. Bowman, Noah A. Smith:
Annotation Artifacts in Natural Language Inference Data. 107-112 - Peng-Yu Chen, Von-Wun Soo:
Humor Recognition Using Deep Learning. 113-117 - Jing Qian, Mai ElSherief, Elizabeth M. Belding, William Yang Wang:
Leveraging Intra-User and Inter-User Representation Learning for Automated Hate Speech Detection. 118-123 - Leshem Choshen, Omri Abend:
Reference-less Measure of Faithfulness for Grammatical Error Correction. 124-129 - Amirmohammad Rooshenas, Aishwarya Kamath, Andrew McCallum:
Training Structured Prediction Energy Networks with Indirect Supervision. 130-135 - Ian Stewart, Yuval Pinter, Jacob Eisenstein:
Si O No, Que Penses? Catalonian Independence and Linguistic Identity on Social Media. 136-141 - David Vilares, Carlos Gómez-Rodríguez:
A Transition-Based Algorithm for Unrestricted AMR Parsing. 142-149 - Maximilian Köper, Sabine Schulte im Walde:
Analogies in Complex Verb Meaning Shifts: the Effect of Affect in Semantic Similarity Models. 150-156 - Wuwei Lan, Wei Xu:
Character-Based Neural Networks for Sentence Pair Modeling. 157-163 - Alakananda Vempala, Eduardo Blanco, Alexis Palmer:
Determining Event Durations: Models and Error Analysis. 164-168 - Dominik Schlechtweg, Sabine Schulte im Walde, Stefanie Eckmann:
Diachronic Usage Relatedness (DURel): A Framework for the Annotation of Lexical Semantic Change. 169-174 - Yan Song, Shuming Shi, Jing Li, Haisong Zhang:
Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings. 175-180 - Goran Glavas, Ivan Vulic:
Discriminating between Lexico-Semantic Relations with the Specialization Tensor Model. 181-187 - Fabienne Braune, Viktor Hangya, Tobias Eder, Alexander M. Fraser:
Evaluating bilingual word embeddings on the long tail. 188-193 - Joshua Coates, Danushka Bollegala:
Frustratingly Easy Meta-Embedding - Computing Meta-Embeddings by Averaging Source Word Embeddings. 194-198 - Kim Anh Nguyen, Sabine Schulte im Walde, Ngoc Thang Vu:
Introducing Two Vietnamese Datasets for Evaluating Semantic Models of (Dis-)Similarity and Relatedness. 199-205 - Maja Buljan, Sebastian Padó, Jan Snajder:
Lexical Substitution for Evaluating Compositional Distributional Models. 206-211 - Nicholas Dingwall, Christopher Potts:
Mittens: an Extension of GloVe for Learning Domain-Specialized Representations. 212-217 - Vered Shwartz, Chris Waterson:
Olive Oil is Made. 218-224 - Omid Kashefi, Andrew T. Lucas, Rebecca Hwa:
Semantic Pleonasm Detection. 225-230 - Felipe S. F. Paula, Rodrigo Wilkens, Marco Idiart, Aline Villavicencio:
Similarity Measures for the Detection of Clinical Conditions with Verbal Fluency Tasks. 231-235 - Ola Rønning, Daniel Hardt, Anders Søgaard:
Sluice Resolution without Hand-Crafted Features over Brittle Syntax Trees. 236-241 - Natalie Schluter:
The Word Analogy Testing Caveat. 242-246 - Chuan Wang, Bin Li, Nianwen Xue:
Transition-Based Chinese AMR Parsing. 247-252 - Abhishek Kumar, Daisuke Kawahara, Sadao Kurohashi:
Knowledge-Enriched Two-Layered Attention Network for Sentiment Analysis. 253-258 - Suraj Maharjan, Sudipta Kar, Manuel Montes-y-Gómez, Fabio A. González, Thamar Solorio:
Letting Emotions Flow: Success Prediction by Modeling the Flow of Emotions in Books. 259-265 - Devamanyu Hazarika, Soujanya Poria, Prateek Vij, Gangeshwar Krishnamurthy, Erik Cambria, Roger Zimmermann:
Modeling Inter-Aspect Dependencies for Aspect-Based Sentiment Analysis. 266-270 - Shweta Yadav, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya, Amit P. Sheth:
Multi-Task Learning Framework for Mining Crowd Intelligence towards Clinical Treatment. 271-277 - Fei Liu, Trevor Cohn, Timothy Baldwin:
Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-Based Sentiment Analysis. 278-283 - Roman Grundkiewicz, Marcin Junczys-Dowmunt:
Near Human-Level Performance in Grammatical Error Correction with Hybrid Machine Translation. 284-290 - Salman Mohammed, Peng Shi, Jimmy Lin:
Strong Baselines for Simple Question Answering over Knowledge Graphs with and without Neural Networks. 291-296 - Andreas Weise, Rivka Levitan:
Looking for Structure in Lexical and Acoustic-Prosodic Entrainment Behaviors. 297-302 - Su Wang, Greg Durrett, Katrin Erk:
Modeling Semantic Plausibility by Injecting World Knowledge. 303-308 - Yu Wang, Yilin Shen, Hongxia Jin:
A Bi-Model Based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling. 309-314 - Vassilis Plachouras, Fabio Petroni, Timothy Nugent, Jochen L. Leidner:
A Comparison of Two Paraphrase Models for Taxonomy Augmentation. 315-320 - Anna Hätty, Sabine Schulte im Walde:
A Laypeople Study on Terminology Identification across Domains and Task Definitions. 321-326 - Dai Quoc Nguyen, Tu Dinh Nguyen, Dat Quoc Nguyen, Dinh Q. Phung:
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network. 327-333 - Chun-Kai Wu, Richard Tzong-Han Tsai:
Cross-language Article Linking Using Cross-Encyclopedia Entity Embedding. 334-339 - Prafulla Kumar Choubey, Kaushik Raju, Ruihong Huang:
Identifying the Most Dominant Event in a News Article by Mining Event Coreference Relations. 340-345 - Huasha Zhao, Yi Yang, Qiong Zhang, Luo Si:
Improve Neural Entity Recognition via Multi-Task Data Selection and Constrained Decoding. 346-351 - Ajay Nagesh, Mihai Surdeanu:
Keep Your Bearings: Lightly-Supervised Information Extraction with Ladder Networks That Avoids Semantic Drift. 352-358 - James Ferguson, Colin Lockard, Daniel S. Weld, Hannaneh Hajishirzi:
Semi-Supervised Event Extraction with Paraphrase Clusters. 359-364 - Ji Wen, Xu Sun, Xuancheng Ren, Qi Su:
Structure Regularized Neural Network for Entity Relation Classification for Chinese Literature Text. 365-370 - Roma Patel, Yinfei Yang, Iain James Marshall, Ani Nenkova, Byron C. Wallace:
Syntactic Patterns Improve Information Extraction for Medical Search. 371-377 - Luis Espinosa Anke, Steven Schockaert:
Syntactically Aware Neural Architectures for Definition Extraction. 378-385 - Daniel Fernández-González, Carlos Gómez-Rodríguez:
A Dynamic Oracle for Linear-Time 2-Planar Dependency Parsing. 386-392 - Taraka Rama, Johann-Mattis List, Johannes Wahle, Gerhard Jäger:
Are Automatic Methods for Cognate Detection Good Enough for Phylogenetic Reconstruction in Historical Linguistics? 393-400 - Guillaume Wisniewski, Ophélie Lacroix, François Yvon:
Automatically Selecting the Best Dependency Annotation Design with Dynamic Oracles. 401-406 - Masashi Yoshikawa, Koji Mineshima, Hiroshi Noji, Daisuke Bekki:
Consistent CCG Parsing over Multiple Sentences for Improved Logical Reasoning. 407-412 - Lauriane Aufrant, Guillaume Wisniewski, François Yvon:
Exploiting Dynamic Oracles to Train Projective Dependency Parsers on Non-Projective Trees. 413-419 - Tianze Shi, Carlos Gómez-Rodríguez, Lillian Lee:
Improving Coverage and Runtime Complexity for Exact Inference in Non-Projective Transition-Based Dependency Parsers. 420-425 - Caroline Pasquer, Agata Savary, Jean-Yves Antoine, Carlos Ramisch:
Towards a Variability Measure for Multiword Expressions. 426-432 - Pranava Swaroop Madhyastha, Josiah Wang, Lucia Specia:
Defoiling Foiled Image Captions. 433-438 - Reuben Cohn-Gordon, Noah D. Goodman, Christopher Potts:
Pragmatically Informative Image Captioning with Character-Level Inference. 439-443 - Hao Tan, Mohit Bansal:
Object Ordering with Bidirectional Matchings for Visual Reasoning. 444-451 - Sosuke Kobayashi:
Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations. 452-457 - Shota Sasaki, Shuo Sun, Shigehiko Schamoni, Kevin Duh, Kentaro Inui:
Cross-Lingual Learning-to-Rank with Shared Representations. 458-463 - Peter Shaw, Jakob Uszkoreit, Ashish Vaswani:
Self-Attention with Relative Position Representations. 464-468 - Omri Koshorek, Adir Cohen, Noam Mor, Michael Rotman, Jonathan Berant:
Text Segmentation as a Supervised Learning Task. 469-473 - Yitong Li, Timothy Baldwin, Trevor Cohn:
What's in a Domain? Learning Domain-Robust Text Representations using Adversarial Training. 474-479 - Marianna Apidianaki, Guillaume Wisniewski, Anne Cocos, Chris Callison-Burch:
Automated Paraphrase Lattice Creation for HyTER Machine Translation Evaluation. 480-485 - Diego Marcheggiani, Jasmijn Bastings, Ivan Titov:
Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks. 486-492 - Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Stephan Vogel:
Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation. 493-499 - David Vilar:
Learning Hidden Unit Contribution for Adapting Neural Machine Translation Models. 500-505 - Eva Hasler, Adrià de Gispert, Gonzalo Iglesias, Bill Byrne:
Neural Machine Translation Decoding with Terminology Constraints. 506-512 - Adam Poliak, Yonatan Belinkov, James R. Glass, Benjamin Van Durme:
On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference. 513-523 - Nima Pourdamghani, Marjan Ghazvininejad, Kevin Knight:
Using Word Vectors to Improve Word Alignments for Low Resource Machine Translation. 524-528 - Ye Qi, Devendra Singh Sachan, Matthieu Felix, Sarguna Padmanabhan, Graham Neubig:
When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation? 529-535 - Ryan Cotterell, S. J. Mielke, Jason Eisner, Brian Roark:
Are All Languages Equally Hard to Language-Model? 536-541 - Hubie Chen, Mans Hulden:
The Computational Complexity of Distinctive Feature Minimization in Phonology. 542-547 - Ryan Cotterell, Christo Kirov, S. J. Mielke, Jason Eisner:
Unsupervised Disambiguation of Syncretism in Inflected Lexicons. 548-553 - Shimi Salant, Jonathan Berant:
Contextualized Word Representations for Reading Comprehension. 554-559 - Julian Michael, Gabriel Stanovsky, Luheng He, Ido Dagan, Luke Zettlemoyer:
Crowdsourcing Question-Answer Meaning Representations. 560-568 - Linfeng Song, Zhiguo Wang, Wael Hamza, Yue Zhang, Daniel Gildea:
Leveraging Context Information for Natural Question Generation. 569-574 - Yicheng Wang, Mohit Bansal:
Robust Machine Comprehension Models via Adversarial Training. 575-581 - Bhuwan Dhingra, Danish Pruthi, Dheeraj Rajagopal:
Simple and Effective Semi-Supervised Question Answering. 582-587 - Tao Yu, Zifan Li, Zilin Zhang, Rui Zhang, Dragomir R. Radev:
TypeSQL: Knowledge-Based Type-Aware Neural Text-to-SQL Generation. 588-594 - Aaron Jaech, Shobhit Hathi, Mari Ostendorf:
Community Member Retrieval on Social Media Using Textual Information. 595-601 - Cen Chen, Yinfei Yang, Jun Zhou, Xiaolong Li, Forrest Sheng Bao:
Cross-Domain Review Helpfulness Prediction Based on Convolutional Neural Networks with Auxiliary Domain Discriminators. 602-607 - Svitlana Volkova, Stephen Ranshous, Lawrence Phillips:
Predicting Foreign Language Usage from English-Only Social Media Posts. 608-614 - Arman Cohan, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Seokhwan Kim, Walter Chang, Nazli Goharian:
A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents. 615-621 - Parag Jain, Anirban Laha, Karthik Sankaranarayanan, Preksha Nema, Mitesh M. Khapra, Shreyas Shetty:
A Mixed Hierarchical Attention Based Encoder-Decoder Approach for Standard Table Summarization. 622-627 - Youxuan Jiang, Catherine Finegan-Dollak, Jonathan K. Kummerfeld, Walter S. Lasecki:
Effective Crowdsourcing for a New Type of Summarization Task. 628-633 - Debanjan Mahata, John Kuriakose, Rajiv Ratn Shah, Roger Zimmermann:
Key2Vec: Automatic Ranked Keyphrase Extraction from Scientific Articles using Phrase Embeddings. 634-639 - Lucie-Aimée Kaffee, Hady ElSahar, Pavlos Vougiouklis, Christophe Gravier, Frédérique Laforest, Jonathon S. Hare, Elena Simperl:
Learning to Generate Wikipedia Summaries for Underserved Languages from Wikidata. 640-645 - Ramakanth Pasunuru, Mohit Bansal:
Multi-Reward Reinforced Summarization with Saliency and Entailment. 646-653 - Maxime Peyrard, Iryna Gurevych:
Objective Function Learning to Match Human Judgements for Optimization-Based Summarization. 654-660 - Ukyo Honda, Tsutomu Hirao, Masaaki Nagata:
Pruning Basic Elements for Better Automatic Evaluation of Summaries. 661-666 - Florian Boudin:
Unsupervised Keyphrase Extraction with Multipartite Graphs. 667-672 - Snigdha Chaturvedi, Shashank Srivastava, Dan Roth:
Where Have I Heard This Story Before? Identifying Narrative Similarity in Movie Remakes. 673-678 - Francesco Barbieri, Miguel Ballesteros, Francesco Ronzano, Horacio Saggion:
Multimodal Emoji Prediction. 679-686 - Kenton Lee, Luheng He, Luke Zettlemoyer:
Higher-Order Coreference Resolution with Coarse-to-Fine Inference. 687-692 - Daniel Fernández-González, Carlos Gómez-Rodríguez:
Non-Projective Dependency Parsing with Non-Local Transitions. 693-700 - Sweta Karlekar, Tong Niu, Mohit Bansal:
Detecting Linguistic Characteristics of Alzheimer's Dementia by Interpreting Neural Models. 701-707 - Annie Louis, Charles Sutton:
Deep Dungeons and Dragons: Learning Character-Action Interactions from Role-Playing Game Transcripts. 708-713 - Iñigo Casanueva, Pawel Budzianowski, Pei-Hao Su, Stefan Ultes, Lina Maria Rojas-Barahona, Bo-Hsiang Tseng, Milica Gasic:
Feudal Reinforcement Learning for Dialogue Management in Large Domains. 714-719 - Alexander Robertson, Sharon Goldwater:
Evaluating Historical Text Normalization Systems: How Well Do They Generalize? 720-725 - Liqiang Xiao, Honglun Zhang, Wenqing Chen:
Gated Multi-Task Network for Text Classification. 726-731 - Po-Sen Huang, Chenglong Wang, Rishabh Singh, Wen-tau Yih, Xiaodong He:
Natural Language to Structured Query Generation via Meta-Learning. 732-738 - Mingda Chen, Kevin Gimpel:
Smaller Text Classifiers with Discriminative Cluster Embeddings. 739-745 - Tuka Al Hanai, Rhoda Au, James R. Glass:
Role-specific Language Models for Processing Recorded Neuropsychological Exams. 746-752 - Chih-Wen Goo, Guang Gao, Yun-Kai Hsu, Chih-Li Huo, Tsung-Chieh Chen, Keng-Wei Hsu, Yun-Nung Chen:
Slot-Gated Modeling for Joint Slot Filling and Intent Prediction. 753-757 - Spandana Gella, Frank Keller:
An Evaluation of Image-Based Verb Prediction Models against Human Eye-Tracking Data. 758-763 - Varun Manjunatha, Mohit Iyyer, Jordan L. Boyd-Graber, Larry S. Davis:
Learning to Color from Language. 764-769 - Arjun Chandrasekaran, Devi Parikh, Mohit Bansal:
Punny Captions: Witty Wordplay in Image Descriptions. 770-775 - Dhanush Dharmaretnam, Alona Fyshe:
The Emergence of Semantics in Neural Network Representations of Visual Information. 776-780 - Volkan Cirik, Louis-Philippe Morency, Taylor Berg-Kirkpatrick:
Visual Referring Expression Recognition: What Do Systems Actually Learn? 781-787 - Taher Rahgooy, Umar Manzoor, Parisa Kordjamshidi:
Visually Guided Spatial Relation Extraction from Text. 788-794 - Xin Wang, Yuan-Fang Wang, William Yang Wang:
Watch, Listen, and Describe: Globally and Locally Aligned Cross-Modal Attentions for Video Captioning. 795-801
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