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ORCIDEMNLP 2017: Copenhagen, Denmark
- Martha Palmer, Rebecca Hwa, Sebastian Riedel:
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, EMNLP 2017, Copenhagen, Denmark, September 9-11, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-83-8 - Yuki Arase, Junichi Tsujii:
Monolingual Phrase Alignment on Parse Forests. 1-11 - Tianze Shi, Liang Huang, Lillian Lee
:
Fast(er) Exact Decoding and Global Training for Transition-Based Dependency Parsing via a Minimal Feature Set. 12-23 - Junjie Cao, Sheng Huang, Weiwei Sun, Xiaojun Wan:
Quasi-Second-Order Parsing for 1-Endpoint-Crossing, Pagenumber-2 Graphs. 24-34 - Yuhao Zhang, Victor Zhong, Danqi Chen, Gabor Angeli, Christopher D. Manning:
Position-aware Attention and Supervised Data Improve Slot Filling. 35-45 - Liyuan Liu, Xiang Ren, Qi Zhu, Shi Zhi, Huan Gui, Heng Ji, Jiawei Han:
Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach. 46-56 - Zhongqing Wang, Yue Zhang, Ching-Yun Chang:
Integrating Order Information and Event Relation for Script Event Prediction. 57-67 - Chuanqi Tan, Furu Wei, Pengjie Ren, Weifeng Lv, Ming Zhou:
Entity Linking for Queries by Searching Wikipedia Sentences. 68-77 - Tommaso Pasini, Roberto Navigli:
Train-O-Matic: Large-Scale Supervised Word Sense Disambiguation in Multiple Languages without Manual Training Data. 78-88 - Siva Reddy, Oscar Täckström, Slav Petrov, Mark Steedman, Mirella Lapata:
Universal Semantic Parsing. 89-101 - Yuval Pinter, Robert Guthrie, Jacob Eisenstein:
Mimicking Word Embeddings using Subword RNNs. 102-112 - Ehsaneddin Asgari, Hinrich Schütze:
Past, Present, Future: A Computational Investigation of the Typology of Tense in 1000 Languages. 113-124 - Kazuma Hashimoto, Yoshimasa Tsuruoka:
Neural Machine Translation with Source-Side Latent Graph Parsing. 125-135 - Rongxiang Weng, Shujian Huang, Zaixiang Zheng, Xin-Yu Dai, Jiajun Chen:
Neural Machine Translation with Word Predictions. 136-145 - Cong Duy Vu Hoang, Gholamreza Haffari, Trevor Cohn:
Towards Decoding as Continuous Optimisation in Neural Machine Translation. 146-156 - Nikita Kitaev, Dan Klein:
Where is Misty? Interpreting Spatial Descriptors by Modeling Regions in Space. 157-166 - Afshin Rahimi, Timothy Baldwin, Trevor Cohn:
Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density Networks. 167-176 - Xuwang Yin, Vicente Ordonez:
Obj2Text: Generating Visually Descriptive Language from Object Layouts. 177-187 - Kenton Lee, Luheng He, Mike Lewis, Luke Zettlemoyer:
End-to-end Neural Coreference Resolution. 188-197 - Jiwei Li, Dan Jurafsky:
Neural Net Models of Open-domain Discourse Coherence. 198-209 - Kexiang Wang, Tianyu Liu, Zhifang Sui, Baobao Chang:
Affinity-Preserving Random Walk for Multi-Document Summarization. 210-220 - Ana Marasovic, Leo Born, Juri Opitz, Anette Frank:
A Mention-Ranking Model for Abstract Anaphora Resolution. 221-232 - Kim Anh Nguyen, Maximilian Köper, Sabine Schulte im Walde, Ngoc Thang Vu:
Hierarchical Embeddings for Hypernymy Detection and Directionality. 233-243 - Zhe Zhao, Tao Liu, Shen Li, Bofang Li, Xiaoyong Du:
Ngram2vec: Learning Improved Word Representations from Ngram Co-occurrence Statistics. 244-253 - Julien Tissier, Christophe Gravier, Amaury Habrard:
Dict2vec : Learning Word Embeddings using Lexical Dictionaries. 254-263 - Tzu-Ray Su, Hung-yi Lee:
Learning Chinese Word Representations From Glyphs Of Characters. 264-273 - John Wieting, Jonathan Mallinson, Kevin Gimpel:
Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext. 274-285 - Jinxing Yu, Xun Jian, Hao Xin, Yangqiu Song:
Joint Embeddings of Chinese Words, Characters, and Fine-grained Subcharacter Components. 286-291 - Arihant Gupta, Syed Sarfaraz Akhtar, Avijit Vajpayee, Arjit Srivastava, Madan Gopal Jhanwar, Manish Shrivastava:
Exploiting Morphological Regularities in Distributional Word Representations. 292-297 - Shaonan Wang, Jiajun Zhang, Chengqing Zong:
Exploiting Word Internal Structures for Generic Chinese Sentence Representation. 298-303 - Aurélie Herbelot, Marco Baroni:
High-risk learning: acquiring new word vectors from tiny data. 304-309 - Joseph Sanu, Mingbin Xu, Hui Jiang, Quan Liu:
Word Embeddings based on Fixed-Size Ordinally Forgetting Encoding. 310-315 - Jared Fernandez, Zhaocheng Yu, Doug Downey:
VecShare: A Framework for Sharing Word Representation Vectors. 316-320 - Souleiman Hasan, Edward Curry:
Word Re-Embedding via Manifold Dimensionality Retention. 321-326 - Guang-He Lee, Yun-Nung Chen:
MUSE: Modularizing Unsupervised Sense Embeddings. 327-337 - Nils Reimers, Iryna Gurevych:
Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging. 338-348 - André F. T. Martins, Julia Kreutzer:
Learning What's Easy: Fully Differentiable Neural Easy-First Taggers. 349-362 - Nobuhiro Kaji, Hayato Kobayashi:
Incremental Skip-gram Model with Negative Sampling. 363-371 - Sebastian Ruder, Barbara Plank:
Learning to select data for transfer learning with Bayesian Optimization. 372-382 - Prajit Ramachandran, Peter J. Liu, Quoc V. Le:
Unsupervised Pretraining for Sequence to Sequence Learning. 383-391 - Denny Britz, Melody Y. Guan, Minh-Thang Luong:
Efficient Attention using a Fixed-Size Memory Representation. 392-400 - Sungjoon Park, JinYeong Bak, Alice Oh:
Rotated Word Vector Representations and their Interpretability. 401-411 - David Alvarez-Melis, Tommi S. Jaakkola:
A causal framework for explaining the predictions of black-box sequence-to-sequence models. 412-421 - Iulian Vlad Serban, Alexander G. Ororbia II, Joelle Pineau, Aaron C. Courville:
Piecewise Latent Variables for Neural Variational Text Processing. 422-432 - Thomas Lavergne, François Yvon:
Learning the Structure of Variable-Order CRFs: a finite-state perspective. 433-439 - Alham Fikri Aji, Kenneth Heafield:
Sparse Communication for Distributed Gradient Descent. 440-445 - Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, Richard Socher:
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks. 1923-1933 - You Lu, Jeffrey Lund, Jordan L. Boyd-Graber:
Why ADAGRAD Fails for Online Topic Modeling. 446-451 - Peng Chen, Zhongqian Sun, Lidong Bing, Wei Yang:
Recurrent Attention Network on Memory for Aspect Sentiment Analysis. 452-461 - Yunfei Long, Qin Lu, Rong Xiang, Minglei Li, Chu-Ren Huang:
A Cognition Based Attention Model for Sentiment Analysis. 462-471 - Lahari Poddar, Wynne Hsu, Mong-Li Lee:
Author-aware Aspect Topic Sentiment Model to Retrieve Supporting Opinions from Reviews. 472-481 - Aniruddha Ghosh, Tony Veale:
Magnets for Sarcasm: Making Sarcasm Detection Timely, Contextual and Very Personal. 482-491 - Alex Morales, Chengxiang Zhai:
Identifying Humor in Reviews using Background Text Sources. 492-501 - Le Yi Wang, Rui Xia:
Sentiment Lexicon Construction with Representation Learning Based on Hierarchical Sentiment Supervision. 502-510 - Kui Xu, Xiaojun Wan:
Towards a Universal Sentiment Classifier in Multiple languages. 511-520 - Zi-Yi Dou:
Capturing User and Product Information for Document Level Sentiment Analysis with Deep Memory Network. 521-526 - Min Yang, Jincheng Mei, Heng Ji, Wei Zhao, Zhou Zhao, Xiaojun Chen:
Identifying and Tracking Sentiments and Topics from Social Media Texts during Natural Disasters. 527-533 - Liang-Chih Yu, Jin Wang, K. Robert Lai, Xuejie Zhang:
Refining Word Embeddings for Sentiment Analysis. 534-539 - Md. Shad Akhtar, Abhishek Kumar, Deepanway Ghosal, Asif Ekbal, Pushpak Bhattacharyya:
A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis. 540-546 - Raksha Sharma, Arpan Somani, Lakshya Kumar, Pushpak Bhattacharyya:
Sentiment Intensity Ranking among Adjectives Using Sentiment Bearing Word Embeddings. 547-552 - Yasheng Wang, Yang Zhang, Bing Liu:
Sentiment Lexicon Expansion Based on Neural PU Learning, Double Dictionary Lookup, and Polarity Association. 553-563 - Wenhan Xiong, Thien Hoang, William Yang Wang:
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning. 564-573 - Rodrigo Frassetto Nogueira, Kyunghyun Cho:
Task-Oriented Query Reformulation with Reinforcement Learning. 574-583 - Xingxing Zhang, Mirella Lapata:
Sentence Simplification with Deep Reinforcement Learning. 584-594 - Meng Fang, Yuan Li, Trevor Cohn:
Learning how to Active Learn: A Deep Reinforcement Learning Approach. 595-605 - Shashi Narayan, Claire Gardent, Shay B. Cohen, Anastasia Shimorina:
Split and Rephrase. 606-616 - Zhen Xu, Bingquan Liu, Baoxun Wang, Chengjie Sun, Xiaolong Wang, Zhuoran Wang, Chao Qi:
Neural Response Generation via GAN with an Approximate Embedding Layer. 617-626 - Stanislau Semeniuta, Aliaksei Severyn, Erhardt Barth:
A Hybrid Convolutional Variational Autoencoder for Text Generation. 627-637 - Nabil Hossain, John Krumm, Lucy Vanderwende, Eric Horvitz, Henry A. Kautz:
Filling the Blanks (hint: plural noun) for Mad Libs Humor. 638-647 - Enrico Santus, Emmanuele Chersoni, Alessandro Lenci, Philippe Blache:
Measuring Thematic Fit with Distributional Feature Overlap. 648-658 - Dheeraj Mekala, Vivek Gupta, Bhargavi Paranjape, Harish Karnick:
SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations. 659-669 - Alexis Conneau, Douwe Kiela, Holger Schwenk, Loïc Barrault, Antoine Bordes:
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data. 670-680 - Hitomi Yanaka, Koji Mineshima, Pascual Martínez-Gómez, Daisuke Bekki:
Determining Semantic Textual Similarity using Natural Deduction Proofs. 681-691 - Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang:
Multi-Grained Chinese Word Segmentation. 692-703 - Nasser Zalmout, Nizar Habash:
Don't Throw Those Morphological Analyzers Away Just Yet: Neural Morphological Disambiguation for Arabic. 704-713 - Ryan Cotterell, Ekaterina Vylomova, Huda Khayrallah, Christo Kirov, David Yarowsky:
Paradigm Completion for Derivational Morphology. 714-720 - Karl Stratos:
A Sub-Character Architecture for Korean Language Processing. 721-726 - Tobias Horsmann, Torsten Zesch:
Do LSTMs really work so well for PoS tagging? - A replication study. 727-736 - Lara McConnaughey, Jennifer Dai, David Bamman:
The Labeled Segmentation of Printed Books. 737-747 - Ryan Cotterell, Georg Heigold:
Cross-lingual Character-Level Neural Morphological Tagging. 748-759 - Hao Zhou, Zhenting Yu, Yue Zhang, Shujian Huang, Xin-Yu Dai, Jiajun Chen:
Word-Context Character Embeddings for Chinese Word Segmentation. 760-766 - Takamasa Oshikiri:
Segmentation-Free Word Embedding for Unsegmented Languages. 767-772 - Mrinmaya Sachan, Avinava Dubey, Eric P. Xing:
From Textbooks to Knowledge: A Case Study in Harvesting Axiomatic Knowledge from Textbooks to Solve Geometry Problems. 773-784 - Guokun Lai, Qizhe Xie, Hanxiao Liu, Yiming Yang, Eduard H. Hovy:
RACE: Large-scale ReAding Comprehension Dataset From Examinations. 785-794 - Mark Hopkins, Cristian Petrescu-Prahova, Roie Levin, Ronan Le Bras, Alvaro Herrasti, Vidur Joshi:
Beyond Sentential Semantic Parsing: Tackling the Math SAT with a Cascade of Tree Transducers. 795-804 - Danqing Huang, Shuming Shi, Chin-Yew Lin, Jian Yin:
Learning Fine-Grained Expressions to Solve Math Word Problems. 805-814 - Rui Liu, Junjie Hu, Wei Wei, Zi Yang, Eric Nyberg:
Structural Embedding of Syntactic Trees for Machine Comprehension. 815-824 - Teng Long, Emmanuel Bengio, Ryan Lowe, Jackie Chi Kit Cheung, Doina Precup:
World Knowledge for Reading Comprehension: Rare Entity Prediction with Hierarchical LSTMs Using External Descriptions. 825-834 - David Golub, Po-Sen Huang, Xiaodong He, Li Deng:
Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension. 835-844 - Yan Wang, Xiaojiang Liu, Shuming Shi:
Deep Neural Solver for Math Word Problems. 845-854 - Deepak P, Dinesh Garg, Shirish K. Shevade:
Latent Space Embedding for Retrieval in Question-Answer Archives. 855-865 - Nan Duan, Duyu Tang, Peng Chen, Ming Zhou:
Question Generation for Question Answering. 866-874 - Li Dong, Jonathan Mallinson, Siva Reddy, Mirella Lapata:
Learning to Paraphrase for Question Answering. 875-886 - Yuanliang Meng, Anna Rumshisky, Alexey Romanov:
Temporal Information Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based Architecture. 887-896 - Kateryna Tymoshenko, Daniele Bonadiman, Alessandro Moschitti:
Ranking Kernels for Structures and Embeddings: A Hybrid Preference and Classification Model. 897-902 - Semih Yavuz, Izzeddin Gur, Yu Su, Xifeng Yan:
Recovering Question Answering Errors via Query Revision. 903-909 - Jean-Benoit Delbrouck, Stéphane Dupont:
An empirical study on the effectiveness of images in Multimodal Neural Machine Translation. 910-919 - Ashwin K. Vijayakumar, Ramakrishna Vedantam, Devi Parikh:
Sound-Word2Vec: Learning Word Representations Grounded in Sounds. 920-925 - Aroma Mahendru, Viraj Prabhu, Akrit Mohapatra, Dhruv Batra, Stefan Lee:
The Promise of Premise: Harnessing Question Premises in Visual Question Answering. 926-935 - Peter Anderson, Basura Fernando, Mark Johnson, Stephen Gould:
Guided Open Vocabulary Image Captioning with Constrained Beam Search. 936-945 - Rowan Zellers, Yejin Choi:
Zero-Shot Activity Recognition with Verb Attribute Induction. 946-958 - Sina Zarrieß, David Schlangen:
Deriving continous grounded meaning representations from referentially structured multimodal contexts. 959-965 - Licheng Yu, Mohit Bansal, Tamara L. Berg:
Hierarchically-Attentive RNN for Album Summarization and Storytelling. 966-971 - Cheng-Yang Fu, Joon Lee, Mohit Bansal, Alexander C. Berg:
Video Highlight Prediction Using Audience Chat Reactions. 972-978 - Ramakanth Pasunuru, Mohit Bansal:
Reinforced Video Captioning with Entailment Rewards. 979-985 - Jesse Mu, Joshua K. Hartshorne, Timothy O'Donnell:
Evaluating Hierarchies of Verb Argument Structure with Hierarchical Clustering. 986-991 - Iacer Calixto, Qun Liu:
Incorporating Global Visual Features into Attention-based Neural Machine Translation. 992-1003 - Dipendra Kumar Misra, John Langford, Yoav Artzi:
Mapping Instructions and Visual Observations to Actions with Reinforcement Learning. 1004-1015 - Kathleen C. Fraser, Kristina Lundholm Fors, Dimitrios Kokkinakis, Arto Nordlund:
An analysis of eye-movements during reading for the detection of mild cognitive impairment. 1016-1026 - Qiang Ning, Zhili Feng, Dan Roth:
A Structured Learning Approach to Temporal Relation Extraction. 1027-1037 - Arun Tejasvi Chaganty, Ashwin Paranjape, Percy Liang, Christopher D. Manning:
Importance sampling for unbiased on-demand evaluation of knowledge base population. 1038-1048 - Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo:
PACRR: A Position-Aware Neural IR Model for Relevance Matching. 1049-1058 - Jonathan Raiman, John Miller:
Globally Normalized Reader. 1059-1069 - Micha Elsner, Cory Shain:
Speech segmentation with a neural encoder model of working memory. 1070-1080 - Luana Bulat, Stephen Clark, Ekaterina Shutova:
Speaking, Seeing, Understanding: Correlating semantic models with conceptual representation in the brain. 1081-1091 - Haoran Li, Junnan Zhu, Cong Ma, Jiajun Zhang, Chengqing Zong:
Multi-modal Summarization for Asynchronous Collection of Text, Image, Audio and Video. 1092-1102 - Amir Zadeh, Minghai Chen, Soujanya Poria, Erik Cambria, Louis-Philippe Morency:
Tensor Fusion Network for Multimodal Sentiment Analysis. 1103-1114 - Kenneth Joseph, Lisa Friedland, William Hobbs, David Lazer, Oren Tsur:
ConStance: Modeling Annotation Contexts to Improve Stance Classification. 1115-1124 - John Pavlopoulos, Prodromos Malakasiotis, Ion Androutsopoulos:
Deeper Attention to Abusive User Content Moderation. 1125-1135 - Haim Dubossarsky, Daphna Weinshall, Eitan Grossman:
Outta Control: Laws of Semantic Change and Inherent Biases in Word Representation Models. 1136-1145 - Veronica E. Lynn, Youngseo Son, Vivek Kulkarni, Niranjan Balasubramanian, H. Andrew Schwartz:
Human Centered NLP with User-Factor Adaptation. 1146-1155 - Alessandro Raganato, Claudio Delli Bovi, Roberto Navigli:
Neural Sequence Learning Models for Word Sense Disambiguation. 1156-1167