default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDHLT-NAACL 2018: New Orleans, Louisiana, USA, Volume 1 (Long 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 2018, New Orleans, Louisiana, USA, June 1-6, 2018, Volume 1 (Long Papers). Association for Computational Linguistics 2018, ISBN 978-1-948087-27-8 - Zhenghui Wang, Yanru Qu, Liheng Chen, Jian Shen, Weinan Zhang, Shaodian Zhang, Yimei Gao, Gen Gu, Ken Chen
, Yong Yu:
Label-Aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition. 1-15 - Peng Xu, Denilson Barbosa:
Neural Fine-Grained Entity Type Classification with Hierarchy-Aware Loss. 16-25 - Pankaj Gupta, Benjamin Roth, Hinrich Schütze:
Joint Bootstrapping Machines for High Confidence Relation Extraction. 26-36 - Ryan Cotterell, Jason Eisner:
A Deep Generative Model of Vowel Formant Typology. 37-46 - Katharina Kann, Manuel Mager, Iván Vladimir Meza Ruíz, Hinrich Schütze:
Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages. 47-57 - Peyman Passban, Qun Liu, Andy Way:
Improving Character-Based Decoding Using Target-Side Morphological Information for Neural Machine Translation. 58-68 - Trang Tran, Shubham Toshniwal, Mohit Bansal, Kevin Gimpel, Karen Livescu, Mari Ostendorf:
Parsing Speech: a Neural Approach to Integrating Lexical and Acoustic-Prosodic Information. 69-81 - Antonios Anastasopoulos, David Chiang:
Tied Multitask Learning for Neural Speech Translation. 82-91 - Jon Gillick, David Bamman:
Please Clap: Modeling Applause in Campaign Speeches. 92-102 - Yohan Jo, Shivani Poddar, Byungsoo Jeon, Qinlan Shen, Carolyn P. Rosé, Graham Neubig:
Attentive Interaction Model: Modeling Changes in View in Argumentation. 103-116 - Ramon Ziai, Detmar Meurers:
Automatic Focus Annotation: Bringing Formal Pragmatics Alive in Analyzing the Information Structure of Authentic Data. 117-128 - Sudha Rao, Joel R. Tetreault:
Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer. 129-140 - Zeyu Dai, Ruihong Huang:
Improving Implicit Discourse Relation Classification by Modeling Inter-dependencies of Discourse Units in a Paragraph. 141-151 - Juraj Juraska, Panagiotis Karagiannis, Kevin Bowden, Marilyn A. Walker:
A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language Generation. 152-162 - Kento Watanabe, Yuichiroh Matsubayashi, Satoru Fukayama, Masataka Goto, Kentaro Inui, Tomoyasu Nakano:
A Melody-Conditioned Lyrics Language Model. 163-172 - Antoine Bosselut, Asli Celikyilmaz, Xiaodong He, Jianfeng Gao, Po-Sen Huang, Yejin Choi:
Discourse-Aware Neural Rewards for Coherent Text Generation. 173-184 - Yao Fu, Yansong Feng:
Natural Answer Generation with Heterogeneous Memory. 185-195 - Shuming Ma, Xu Sun, Wei Li, Sujian Li, Wenjie Li, Xuancheng Ren:
Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase Generation. 196-206 - Reno Kriz, Eleni Miltsakaki, Marianna Apidianaki, Chris Callison-Burch:
Simplification Using Paraphrases and Context-Based Lexical Substitution. 207-217 - Hady ElSahar, Christophe Gravier, Frédérique Laforest:
Zero-Shot Question Generation from Knowledge Graphs for Unseen Predicates and Entity Types. 218-228 - Evelin Amorim, Márcia Cançado, Adriano Veloso:
Automated Essay Scoring in the Presence of Biased Ratings. 229-237 - Chandra Bhagavatula, Sergey Feldman, Russell Power, Waleed Ammar:
Content-Based Citation Recommendation. 238-251 - Daniel Khashabi, Snigdha Chaturvedi, Michael Roth, Shyam Upadhyay, Dan Roth:
Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences. 252-262 - Youmna Farag, Helen Yannakoudakis, Ted Briscoe:
Neural Automated Essay Scoring and Coherence Modeling for Adversarially Crafted Input. 263-271 - David Grangier, Michael Auli:
QuickEdit: Editing Text & Translations by Crossing Words Out. 272-282 - Procheta Sen, Debasis Ganguly, Gareth J. F. Jones:
Tempo-Lexical Context Driven Word Embedding for Cross-Session Search Task Extraction. 283-292 - Marek Rei, Anders Søgaard:
Zero-Shot Sequence Labeling: Transferring Knowledge from Sentences to Tokens. 293-302 - Yiannos Stathopoulos, Simon Baker, Marek Rei, Simone Teufel:
Variable Typing: Assigning Meaning to Variables in Mathematical Text. 303-312 - K. M. Annervaz, Somnath Basu Roy Chowdhury, Ambedkar Dukkipati:
Learning beyond Datasets: Knowledge Graph Augmented Neural Networks for Natural Language Processing. 313-322 - Anne Cocos, Marianna Apidianaki, Chris Callison-Burch:
Comparing Constraints for Taxonomic Organization. 323-333 - Toan Q. Nguyen, David Chiang:
Improving Lexical Choice in Neural Machine Translation. 334-343 - Jiatao Gu, Hany Hassan, Jacob Devlin, Victor O. K. Li:
Universal Neural Machine Translation for Extremely Low Resource Languages. 344-354 - Sergey Edunov, Myle Ott, Michael Auli, David Grangier, Marc'Aurelio Ranzato:
Classical Structured Prediction Losses for Sequence to Sequence Learning. 355-364 - Adrian Benton, Mark Dredze:
Deep Dirichlet Multinomial Regression. 365-374 - Xingshan Zeng, Jing Li, Lu Wang, Nicholas Beauchamp, Sarah Shugars, Kam-Fai Wong:
Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse. 375-385 - Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, Benno Stein:
Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation. 386-396 - Yu-Siang Wang, Chenxi Liu, Xiaohui Zeng, Alan L. Yuille:
Scene Graph Parsing as Dependency Parsing. 397-407 - Douwe Kiela, Alexis Conneau, Allan Jabri, Maximilian Nickel:
Learning Visually Grounded Sentence Representations. 408-418 - Sandro Pezzelle, Ionut-Teodor Sorodoc, Raffaella Bernardi:
Comparatives, Quantifiers, Proportions: a Multi-Task Model for the Learning of Quantities from Vision. 419-430 - Wei-Lun Chao, Hexiang Hu, Fei Sha:
Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets. 431-441 - Fuad Issa, Marco Damonte, Shay B. Cohen, Xiaohui Yan, Yi Chang:
Abstract Meaning Representation for Paraphrase Detection. 442-452 - Fabio Petroni, Vassilis Plachouras, Timothy Nugent, Jochen L. Leidner:
attr2vec: Jointly Learning Word and Contextual Attribute Embeddings with Factorization Machines. 453-462 - Abhik Jana, Pawan Goyal:
Can Network Embedding of Distributional Thesaurus Be Combined with Word Vectors for Better Representation? 463-473 - Alex Rosenfeld, Katrin Erk:
Deep Neural Models of Semantic Shift. 474-484 - Haw-Shiuan Chang, ZiYun Wang, Luke Vilnis, Andrew McCallum:
Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection. 485-495 - Dhivya Chinnappa, Eduardo Blanco:
Mining Possessions: Existence, Type and Temporal Anchors. 496-505 - Takahiro Ishihara, Katsuhiko Hayashi, Hitoshi Manabe, Masashi Shimbo, Masaaki Nagata:
Neural Tensor Networks with Diagonal Slice Matrices. 506-515 - Ivan Vulic, Goran Glavas, Nikola Mrksic, Anna Korhonen:
Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources. 516-527 - Matteo Pagliardini, Prakhar Gupta, Martin Jaggi:
Unsupervised Learning of Sentence Embeddings Using Compositional n-Gram Features. 528-540 - Qi Liu, Yue Zhang, Jiangming Liu:
Learning Domain Representation for Multi-Domain Sentiment Classification. 541-550 - Junwen Duan, Xiao Ding, Ting Liu:
Learning Sentence Representations over Tree Structures for Target-Dependent Classification. 551-560 - Deyu Zhou, Yang Yang, Yulan He:
Relevant Emotion Ranking from Text Constrained with Emotion Relationships. 561-571 - Md. Shad Akhtar, Palaash Sawant, Sukanta Sen, Asif Ekbal, Pushpak Bhattacharyya:
Solving Data Sparsity for Aspect Based Sentiment Analysis Using Cross-Linguality and Multi-Linguality. 572-582 - Ana Marasovic, Anette Frank:
SRL4ORL: Improving Opinion Role Labeling Using Multi-Task Learning with Semantic Role Labeling. 583-594 - Marcin Junczys-Dowmunt, Roman Grundkiewicz, Shubha Guha, Kenneth Heafield:
Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task. 595-606 - Shyam Upadhyay, Yogarshi Vyas, Marine Carpuat, Dan Roth:
Robust Cross-Lingual Hypernymy Detection Using Dependency Context. 607-618 - Ziang Xie, Guillaume Genthial, Stanley Xie, Andrew Y. Ng, Dan Jurafsky:
Noising and Denoising Natural Language: Diverse Backtranslation for Grammar Correction. 619-628 - Mrinmaya Sachan, Eric P. Xing:
Self-Training for Jointly Learning to Ask and Answer Questions. 629-640 - Alon Talmor, Jonathan Berant:
The Web as a Knowledge-Base for Answering Complex Questions. 641-651 - Chao-Chun Liang, Yu-Shiang Wong, Yi-Chung Lin, Keh-Yih Su:
A Meaning-Based Statistical English Math Word Problem Solver. 652-662 - Sabyasachi Kamila, Mohammed Hasanuzzaman, Asif Ekbal, Pushpak Bhattacharyya, Andy Way:
Fine-Grained Temporal Orientation and its Relationship with Psycho-Demographic Correlates. 663-674 - Fatemeh Torabi Asr, Robert Zinkov, Michael N. Jones:
Querying Word Embeddings for Similarity and Relatedness. 675-684 - Elior Sulem, Omri Abend, Ari Rappoport:
Semantic Structural Evaluation for Text Simplification. 685-696 - Reinald Kim Amplayo, Seonjae Lim, Seung-won Hwang:
Entity Commonsense Representation for Neural Abstractive Summarization. 697-707 - Max Grusky, Mor Naaman, Yoav Artzi:
Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies. 708-719 - Kyle Richardson, Jonathan Berant, Jonas Kuhn:
Polyglot Semantic Parsing in APIs. 720-730 - Rachel Rudinger, Aaron Steven White, Benjamin Van Durme:
Neural Models of Factuality. 731-744 - Bo An, Bo Chen, Xianpei Han, Le Sun:
Accurate Text-Enhanced Knowledge Graph Representation Learning. 745-755 - Hitomi Yanaka, Koji Mineshima, Pascual Martínez-Gómez, Daisuke Bekki:
Acquisition of Phrase Correspondences Using Natural Deduction Proofs. 756-766 - Mitra Mohtarami, Ramy Baly, James R. Glass, Preslav Nakov, Lluís Màrquez, Alessandro Moschitti:
Automatic Stance Detection Using End-to-End Memory Networks. 767-776 - Yi Yang, Ozan Irsoy, Kazi Shefaet Rahman:
Collective Entity Disambiguation with Structured Gradient Tree Boosting. 777-786 - Prodromos Kolyvakis, Alexandros Kalousis, Dimitris Kiritsis:
DeepAlignment: Unsupervised Ontology Matching with Refined Word Vectors. 787-798 - Fei Gao, Lijun Wu, Li Zhao, Tao Qin, Xueqi Cheng, Tie-Yan Liu:
Efficient Sequence Learning with Group Recurrent Networks. 799-808 - James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Arpit Mittal:
FEVER: a Large-scale Dataset for Fact Extraction and VERification. 809-819 - Yu Su, Honglei Liu, Semih Yavuz, Izzeddin Gur, Huan Sun, Xifeng Yan:
Global Relation Embedding for Relation Extraction. 820-830 - Pengxiang Cheng, Katrin Erk:
Implicit Argument Prediction with Event Knowledge. 831-840 - Qiang Ning, Hao Wu, Haoruo Peng, Dan Roth:
Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource. 841-851 - Seungwhan Moon, Leonardo Neves, Vitor Carvalho:
Multimodal Named Entity Recognition for Short Social Media Posts. 852-860 - Arzoo Katiyar, Claire Cardie:
Nested Named Entity Recognition Revisited. 861-871 - Patrick Verga, Emma Strubell, Andrew McCallum:
Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction. 872-884 - Gabriel Stanovsky, Julian Michael, Luke Zettlemoyer, Ido Dagan:
Supervised Open Information Extraction. 885-895 - Hongyu Gong, Suma Bhat, Pramod Viswanath:
Embedding Syntax and Semantics of Prepositions via Tensor Decomposition. 896-906 - Johannes Bjerva, Isabelle Augenstein:
From Phonology to Syntax: Unsupervised Linguistic Typology at Different Levels with Language Embeddings. 907-916 - Katherine A. Keith, Su Lin Blodgett, Brendan T. O'Connor:
Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses. 917-928 - Chu-Cheng Lin, Jason Eisner:
Neural Particle Smoothing for Sampling from Conditional Sequence Models. 929-941 - Jan Buys, Phil Blunsom:
Neural Syntactic Generative Models with Exact Marginalization. 942-952 - Nasser Zalmout, Alexander Erdmann, Nizar Habash:
Noise-Robust Morphological Disambiguation for Dialectal Arabic. 953-964 - Yijia Liu, Yi Zhu, Wanxiang Che, Bing Qin, Nathan Schneider, Noah A. Smith:
Parsing Tweets into Universal Dependencies. 965-975 - Michihiro Yasunaga, Jungo Kasai, Dragomir R. Radev:
Robust Multilingual Part-of-Speech Tagging via Adversarial Training. 976-986 - Irshad Ahmad Bhat, Riyaz Ahmad Bhat, Manish Shrivastava, Dipti Misra Sharma:
Universal Dependency Parsing for Hindi-English Code-Switching. 987-998 - David Gaddy, Mitchell Stern, Dan Klein:
What's Going On in Neural Constituency Parsers? An Analysis. 999-1010 - Miguel Rios, Wilker Aziz, Khalil Sima'an:
Deep Generative Model for Joint Alignment and Word Representation. 1011-1023 - Chao Jiang, Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang:
Learning Word Embeddings for Low-Resource Languages by PU Learning. 1024-1034 - Esin Durmus, Claire Cardie:
Exploring the Role of Prior Beliefs for Argument Persuasion. 1035-1045 - Michael Wiegand, Josef Ruppenhofer, Anna Schmidt, Clayton Greenberg:
Inducing a Lexicon of Abusive Words - a Feature-Based Approach. 1046-1056 - Vinodkumar Prabhakaran, Premkumar Ganeshkumar, Owen Rambow:
Author Commitment and Social Power: Automatic Belief Tagging to Infer the Social Context of Interactions. 1057-1068 - Dong Nguyen:
Comparing Automatic and Human Evaluation of Local Explanations for Text Classification. 1069-1078 - Pankaj Gupta, Subburam Rajaram, Hinrich Schütze, Bernt Andrassy:
Deep Temporal-Recurrent-Replicated-Softmax for Topical Trends over Time. 1079-1089 - Shudong Hao, Jordan L. Boyd-Graber, Michael J. Paul:
Lessons from the Bible on Modern Topics: Low-Resource Multilingual Topic Model Evaluation. 1090-1100 - James Mullenbach, Sarah Wiegreffe, Jon Duke, Jimeng Sun, Jacob Eisenstein:
Explainable Prediction of Medical Codes from Clinical Text. 1101-1111 - Adina Williams, Nikita Nangia, Samuel R. Bowman:
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference. 1112-1122 - Koki Washio, Tsuneaki Kato:
Filling Missing Paths: Modeling Co-occurrences of Word Pairs and Dependency Paths for Recognizing Lexical Semantic Relations. 1123-1133 - Ivan Vulic, Nikola Mrksic:
Specialising Word Vectors for Lexical Entailment. 1134-1145 - Marco Damonte, Shay B. Cohen:
Cross-Lingual Abstract Meaning Representation Parsing. 1146-1155 - Sebastian Schuster, Joakim Nivre, Christopher D. Manning:
Sentences with Gapping: Parsing and Reconstructing Elided Predicates. 1156-1168 - Ida Szubert, Adam Lopez, Nathan Schneider:
A Structured Syntax-Semantics Interface for English-AMR Alignment. 1169-1180 - Jungo Kasai, Robert Frank, Pauli Xu, William Merrill, Owen Rambow:
End-to-End Graph-Based TAG Parsing with Neural Networks. 1181-1194 - Kristina Gulordava, Piotr Bojanowski, Edouard Grave, Tal Linzen, Marco Baroni:
Colorless Green Recurrent Networks Dream Hierarchically. 1195-1205 - Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Yu Cheng, Gerald Tesauro, Haoyu Wang, Bowen Zhou:
Diverse Few-Shot Text Classification with Multiple Metrics. 1206-1215 - Adrián Pastor López-Monroy, Fabio A. González, Manuel Montes-y-Gómez, Hugo Jair Escalante, Thamar Solorio:
Early Text Classification Using Multi-Resolution Concept Representations. 1216-1225 - Xilun Chen, Claire Cardie:
Multinomial Adversarial Networks for Multi-Domain Text Classification. 1226-1240 - Yftah Ziser, Roi Reichart:
Pivot Based Language Modeling for Improved Neural Domain Adaptation. 1241-1251 - Jiawei Wu, Lei Li, William Yang Wang:
Reinforced Co-Training. 1252-1262 - Qiuyuan Huang, Paul Smolensky, Xiaodong He, Li Deng, Dapeng Oliver Wu:
Tensor Product Generation Networks for Deep NLP Modeling. 1263-1273 - Quan Hung Tran, Tuan Manh Lai, Gholamreza Haffari, Ingrid Zukerman, Trung Bui, Hung Bui:
The Context-Dependent Additive Recurrent Neural Net. 1274-1283 - Huadong Chen, Shujian Huang, David Chiang, Xinyu Dai, Jiajun Chen:
Combining Character and Word Information in Neural Machine Translation Using a Multi-Level Attention. 1284-1293 - Yanyao Shen, Xu Tan, Di He, Tao Qin, Tie-Yan Liu:
Dense Information Flow for Neural Machine Translation. 1294-1303 - Rachel Bawden, Rico Sennrich, Alexandra Birch, Barry Haddow:
Evaluating Discourse Phenomena in Neural Machine Translation. 1304-1313 - Matt Post, David Vilar:
Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation. 1314-1324 - Jingyi Zhang, Masao Utiyama, Eiichiro Sumita, Graham Neubig, Satoshi Nakamura:
Guiding Neural Machine Translation with Retrieved Translation Pieces. 1325-1335 - Frederick Liu, Han Lu, Graham Neubig:
Handling Homographs in Neural Machine Translation. 1336-1345 - Zhen Yang, Wei Chen, Feng Wang, Bo Xu:
Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets. 1346-1355 - Poorya ZareMoodi, Gholamreza Haffari:
Neural Machine Translation for Bilingually Scarce Scenarios: a Deep Multi-Task Learning Approach. 1356-1365 - Lesly Miculicich Werlen, Nikolaos Pappas, Dhananjay Ram, Andrei Popescu-Belis:
Self-Attentive Residual Decoder for Neural Machine Translation. 1366-1379 - Xintong Li, Lemao Liu, Zhaopeng Tu, Shuming Shi, Max Meng:
Target Foresight Based Attention for Neural Machine Translation. 1380-1390 - Toms Bergmanis, Sharon Goldwater:
Context Sensitive Neural Lemmatization with Lematus. 1391-1400 - Gustavo Aguilar, Adrián Pastor López-Monroy, Fabio Augusto González Osorio, Thamar Solorio:
Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media. 1401-1412 - Zhenisbek Assylbekov, Rustem Takhanov:
Reusing Weights in Subword-Aware Neural Language Models. 1413-1423 - Vivek Kulkarni, William Yang Wang:
Simple Models for Word Formation in Slang. 1424-1434 - Austin Matthews, Graham Neubig, Chris Dyer:
Using Morphological Knowledge in Open-Vocabulary Neural Language Models. 1435-1445 - Meizhi Ju, Makoto Miwa, Sophia Ananiadou:
A Neural Layered Model for Nested Named Entity Recognition. 1446-1459 - Reza Ghaeini, Sadid A. Hasan, Vivek V. Datla, Joey Liu, Kathy Lee, Ashequl Qadir, Yuan Ling, Aaditya Prakash, Xiaoli Z. Fern, Oladimeji Farri:
DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference. 1460-1469 - Liwei Cai, William Yang Wang:
KBGAN: Adversarial Learning for Knowledge Graph Embeddings. 1470-1480 - Teresa Botschen, Iryna Gurevych, Jan-Christoph Klie, Hatem Mousselly Sergieh, Stefan Roth:
Multimodal Frame Identification with Multilingual Evaluation. 1481-1491 - Hao Peng, Sam Thomson, Swabha Swayamdipta, Noah A. Smith:
Learning Joint Semantic Parsers from Disjoint Data. 1492-1502 - Yogarshi Vyas, Xing Niu, Marine Carpuat:
Identifying Semantic Divergences in Parallel Text without Annotations. 1503-1515 - Laura Perez-Beltrachini, Mirella Lapata:
Bootstrapping Generators from Noisy Data. 1516-1527 - Ye Zhang, Nan Ding, Radu Soricut:
SHAPED: Shared-Private Encoder-Decoder for Text Style Adaptation. 1528-1538 - Preksha Nema, Shreyas Shetty, Parag Jain, Anirban Laha, Karthik Sankaranarayanan, Mitesh M. Khapra:
Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization. 1539-1550 - Simon Suster, Walter Daelemans:
CliCR: a Dataset of Clinical Case Reports for Machine Reading Comprehension. 1551-1563 - Duyu Tang, Nan Duan, Zhao Yan, Zhirui Zhang, Yibo Sun, Shujie Liu, Yuanhua Lv, Ming Zhou:
Learning to Collaborate for Question Answering and Asking. 1564-1574 - Seunghyun Yoon, Joongbo Shin, Kyomin Jung:
Learning to Rank Question-Answer Pairs Using Hierarchical Recurrent Encoder with Latent Topic Clustering. 1575-1584 - Yu-An Chung, Hung-yi Lee, James R. Glass:
Supervised and Unsupervised Transfer Learning for Question Answering. 1585-1594 - Bhavana Dalvi, Lifu Huang, Niket Tandon, Wen-tau Yih, Peter Clark:
Tracking State Changes in Procedural Text: a Challenge Dataset and Models for Process Paragraph Comprehension. 1595-1604 - Mingmin Jin, Xin Luo, Huiling Zhu, Hankz Hankui Zhuo:
Combining Deep Learning and Topic Modeling for Review Understanding in Context-Aware Recommendation. 1605-1614 - Reid Pryzant, Kelly Shen, Dan Jurafsky, Stefan Wagner:
Deconfounded Lexicon Induction for Interpretable Social Science. 1615-1625 - Nathanael Chambers, Ben Fry, James McMasters:
Detecting Denial-of-Service Attacks from Social Media Text: Applying NLP to Computer Security. 1626-1635 - Dallas Card, Noah A. Smith:
The Importance of Calibration for Estimating Proportions from Annotations. 1636-1646 - Dongyeop Kang, Waleed Ammar, Bhavana Dalvi, Madeleine van Zuylen, Sebastian Kohlmeier, Eduard H. Hovy, Roy Schwartz:
A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications. 1647-1661 - Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, Yejin Choi:
Deep Communicating Agents for Abstractive Summarization. 1662-1675 - Yingyi Zhang, Jing Li, Yan Song, Chengzhi Zhang:
Encoding Conversation Context for Neural Keyphrase Extraction from Microblog Posts. 1676-1686 - Markus Zopf:
Estimating Summary Quality with Pairwise Preferences. 1687-1696 - Kundan Krishna, Balaji Vasan Srinivasan:
Generating Topic-Oriented Summaries Using Neural Attention. 1697-1705 - Wenhu Chen, Guanlin Li, Shuo Ren, Shujie Liu, Zhirui Zhang, Mu Li, Ming Zhou:
Generative Bridging Network for Neural Sequence Prediction. 1706-1715 - Hidetaka Kamigaito, Katsuhiko Hayashi, Tsutomu Hirao, Masaaki Nagata:
Higher-Order Syntactic Attention Network for Longer Sentence Compression. 1716-1726 - Deyu Zhou, Linsen Guo, Yulan He:
Neural Storyline Extraction Model for Storyline Generation from News Articles. 1727-1736 - Shinsaku Sakaue, Tsutomu Hirao, Masaaki Nishino, Masaaki Nagata:
Provable Fast Greedy Compressive Summarization with Any Monotone Submodular Function. 1737-1746 - Shashi Narayan, Shay B. Cohen, Mirella Lapata:
Ranking Sentences for Extractive Summarization with Reinforcement Learning. 1747-1759 - Abram Handler, Brendan T. O'Connor:
Relational Summarization for Corpus Analysis. 1760-1769 - Philip John Gorinski, Mirella Lapata:
What's This Movie About? A Joint Neural Network Architecture for Movie Content Analysis. 1770-1781 - Markus Zopf, Eneldo Loza Mencía, Johannes Fürnkranz:
Which Scores to Predict in Sentence Regression for Text Summarization? 1782-1791 - Yookoon Park, Jaemin Cho, Gunhee Kim:
A Hierarchical Latent Structure for Variational Conversation Modeling. 1792-1801 - Tommy Sandbank, Michal Shmueli-Scheuer, Jonathan Herzig, David Konopnicki, John T. Richards, David Piorkowski:
Detecting Egregious Conversations between Customers and Virtual Agents. 1802-1811 - Jyun-Yu Jiang, Francine Chen, Yan-Ying Chen, Wei Wang:
Learning to Disentangle Interleaved Conversational Threads with a Siamese Hierarchical Network and Similarity Ranking. 1812-1822 - Wenhu Chen, Wenhan Xiong, Xifeng Yan, William Yang Wang:
Variational Knowledge Graph Reasoning. 1823-1832 - Fei Cheng, Yusuke Miyao:
Inducing Temporal Relations from Time Anchor Annotation. 1833-1843 - Priya Radhakrishnan, Partha P. Talukdar, Vasudeva Varma:
ELDEN: Improved Entity Linking Using Densified Knowledge Graphs. 1844-1853 - Hai Ye, Xin Jiang, Zhunchen Luo, Wenhan Chao:
Interpretable Charge Predictions for Criminal Cases: Learning to Generate Court Views from Fact Descriptions. 1854-1864 - Juncen Li, Robin Jia, He He, Percy Liang:
Delete, Retrieve, Generate: a Simple Approach to Sentiment and Style Transfer. 1865-1874 - Mohit Iyyer, John Wieting, Kevin Gimpel, Luke Zettlemoyer:
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks. 1875-1885 - Kian Kenyon-Dean, Eisha Ahmed, Scott Fujimoto, Jeremy Georges-Filteau, Christopher Glasz, Barleen Kaur, Auguste Lalande, Shruti Bhanderi, Robert Belfer, Nirmal Kanagasabai, Roman Sarrazingendron, Rohit Verma, Derek Ruths:
Sentiment Analysis: It's Complicated! 1886-1895 - Isabelle Augenstein, Sebastian Ruder, Anders Søgaard:
Multi-Task Learning of Pairwise Sequence Classification Tasks over Disparate Label Spaces. 1896-1906 - Sven Buechel, Udo Hahn:
Word Emotion Induction for Multiple Languages as a Deep Multi-Task Learning Problem. 1907-1918 - Haibo Ding, Ellen Riloff:
Human Needs Categorization of Affective Events Using Labeled and Unlabeled Data. 1919-1929 - Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, Benno Stein:
The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants. 1930-1940 - Sarah Ita Levitan, Angel Maredia, Julia Hirschberg:
Linguistic Cues to Deception and Perceived Deception in Interview Dialogues. 1941-1950 - Daniel Fried, Jacob Andreas, Dan Klein:
Unified Pragmatic Models for Generating and Following Instructions. 1951-1963 - Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin:
Hierarchical Structured Model for Fine-to-Coarse Manifesto Text Analysis. 1964-1974 - Vicente Iván Sánchez Carmona, Jeff Mitchell, Sebastian Riedel:
Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on Robustness. 1975-1985 - Yevgeni Berzak, Boris Katz, Roger Levy:
Assessing Language Proficiency from Eye Movements in Reading. 1986-1996 - Meilin Zhan, Roger Levy:
Comparing Theories of Speaker Choice Using a Model of Classifier Production in Mandarin Chinese. 1997-2005 - Hadi Amiri, Timothy Miller, Guergana Savova:
Spotting Spurious Data with Neural Networks. 2006-2016 - Jeremy R. Cole, David Reitter:
The Timing of Lexical Memory Retrievals in Language Production. 2017-2027 - Maria Barrett, Ana Valeria González-Garduño, Lea Frermann, Anders Søgaard:
Unsupervised Induction of Linguistic Categories with Records of Reading, Speaking, and Writing. 2028-2038 - Kaixin Ma, Tomasz Jurczyk, Jinho D. Choi:
Challenging Reading Comprehension on Daily Conversation: Passage Completion on Multiparty Dialog. 2039-2048 - Xianchao Wu, Ander Martinez, Momo Klyen:
Dialog Generation Using Multi-Turn Reasoning Neural Networks. 2049-2059 - Bing Liu, Gökhan Tür, Dilek Hakkani-Tür, Pararth Shah, Larry P. Heck:
Dialogue Learning with Human Teaching and Feedback in End-to-End Trainable Task-Oriented Dialogue Systems. 2060-2069 - Zhen Xu, Nan Jiang, Bingquan Liu, Wenge Rong, Bowen Wu, Baoxun Wang, Zhuoran Wang, Xiaolong Wang:
LSDSCC: a Large Scale Domain-Specific Conversational Corpus for Response Generation with Diversity Oriented Evaluation Metrics. 2070-2080 - Anthony Rios, Ramakanth Kavuluru:
EMR Coding with Semi-Parametric Multi-Head Matching Networks. 2081-2091 - Laura Wendlandt, Jonathan K. Kummerfeld, Rada Mihalcea:
Factors Influencing the Surprising Instability of Word Embeddings. 2092-2102 - Qi Liu, Yue Zhang:
Mining Evidences for Concept Stock Recommendation. 2103-2112 - Xuan Liu, Di Cao, Kai Yu:
Binarized LSTM Language Model. 2113-2121 - Devamanyu Hazarika, Soujanya Poria, Amir Zadeh, Erik Cambria, Louis-Philippe Morency, Roger Zimmermann:
Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos. 2122-2132 - Shang-Yu Su, Pei-Chieh Yuan, Yun-Nung Chen:
How Time Matters: Learning Time-Decay Attention for Contextual Spoken Language Understanding in Dialogues. 2133-2142 - Anastassia Loukina, Van Rynald T. Liceralde, Beata Beigman Klebanov:
Towards Understanding Text Factors in Oral Reading. 2143-2154 - Will Monroe, Jennifer Hu, Andrew Jong, Christopher Potts:
Generating Bilingual Pragmatic Color References. 2155-2165 - Jacob Andreas, Dan Klein, Sergey Levine:
Learning with Latent Language. 2166-2179 - Josiah Wang, Pranava Swaroop Madhyastha, Lucia Specia:
Object Counts! Bringing Explicit Detections Back into Image Captioning. 2180-2193 - Jack Hessel, David M. Mimno, Lillian Lee:
Quantifying the Visual Concreteness of Words and Topics in Multimodal Datasets. 2194-2205 - Mahmoud Azab, Mingzhe Wang, Max Smith, Noriyuki Kojima, Jia Deng, Rada Mihalcea:
Speaker Naming in Movies. 2206-2216 - Nazneen Fatema Rajani, Raymond J. Mooney:
Stacking with Auxiliary Features for Visual Question Answering. 2217-2226 - Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer:
Deep Contextualized Word Representations. 2227-2237 - Alane Suhr, Srinivasan Iyer, Yoav Artzi:
Learning to Map Context-Dependent Sentences to Executable Formal Queries. 2238-2249 - Elizabeth Clark, Yangfeng Ji, Noah A. Smith:
Neural Text Generation in Stories Using Entity Representations as Context. 2250-2260 - Yining Chen, Sorcha Gilroy, Andreas Maletti, Jonathan May, Kevin Knight:
Recurrent Neural Networks as Weighted Language Recognizers. 2261-2271
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-11-13 21:54 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
