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ACL 2017

357 papers

Attention-over-Attention Neural Networks for Reading Comprehension

Yiming Cui, Zhipeng Chen, Si Wei, Shijin Wang, Ting Liu

Deep Keyphrase Generation

Rui Meng, Sanqiang Zhao, Shuguang Han, Daqing He, Peter Brusilovsky

Improved Neural Relation Detection for Knowledge Base Question Answering

Mo Yu, Wenpeng Yin, Kazi Saidul Hasan, Cícero dos Santos, Bing Xiang

MORSE: Semantic-ally Drive-n MORpheme SEgment-er

Tarek Sakakini, Suma Bhat, Pramod Viswanath

Predicting Native Language from Gaze

Yevgeni Berzak, Chie Nakamura, Suzanne Flynn, Boris Katz

Joint CTC/attention decoding for end-to-end speech recognition

Takaaki Hori, Shinji Watanabe, John Hershey

Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access

Bhuwan Dhingra, Lihong Li, Xiujun Li, Jianfeng Gao, Yun-Nung Chen

Deep Semantic Role Labeling: What Works and What’s Next

Luheng He, Kenton Lee, Mike Lewis, Luke Zettlemoyer

Learning bilingual word embeddings with (almost) no bilingual data

Mikel Artetxe, Gorka Labaka, Eneko Agirre

Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix

Bingfeng Luo, Yansong Feng, Zheng Wang, Zhanxing Zhu, Songfang Huang

Automatically Labeled Data Generation for Large Scale Event Extraction

Yubo Chen, Shulin Liu, Xiang Zhang, Kang Liu, Jun Zhao

An Unsupervised Neural Attention Model for Aspect Extraction

Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier

Topically Driven Neural Language Model

Jey Han Lau, Timothy Baldwin, Trevor Cohn

Deep Learning in Semantic Kernel Spaces

Danilo Croce, Simone Filice, Giuseppe Castellucci, Roberto Basili

Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling

Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su

Aggregating and Predicting Sequence Labels from Crowd Annotations

An Thanh Nguyen, Byron Wallace, Junyi Jessy Li, Ani Nenkova, Matthew Lease

A Full Non-Monotonic Transition System for Unrestricted Non-Projective Parsing

Daniel Fernández-González, Carlos Gómez-Rodríguez

A* CCG Parsing with a Supertag and Dependency Factored Model

Masashi Yoshikawa, Hiroshi Noji, Yuji Matsumoto

FOIL it! Find One mismatch between Image and Language caption

Ravi Shekhar, Sandro Pezzelle, Yauhen Klimovich, Aurélie Herbelot, Moin Nabi

Translating Neuralese

Jacob Andreas, Anca Dragan, Dan Klein

Coarse-to-Fine Question Answering for Long Documents

Eunsol Choi, Daniel Hewlett, Jakob Uszkoreit, Illia Polosukhin, Alexandre Lacoste

Gated Self-Matching Networks for Reading Comprehension and Question Answering

Wenhui Wang, Nan Yang, Furu Wei, Baobao Chang, Ming Zhou

Creating Training Corpora for NLG Micro-Planners

Claire Gardent, Anastasia Shimorina, Shashi Narayan, Laura Perez-Beltrachini

Neural AMR: Sequence-to-Sequence Models for Parsing and Generation

Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, Yejin Choi, Luke Zettlemoyer

Deep Neural Machine Translation with Linear Associative Unit

Mingxuan Wang, Zhengdong Lu, Jie Zhou, Qun Liu

A Convolutional Encoder Model for Neural Machine Translation

Jonas Gehring, Michael Auli, David Grangier, Yann Dauphin

Discourse Mode Identification in Essays

Wei Song, Dong Wang, Ruiji Fu, Lizhen Liu, Ting Liu

Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun Resolution

Ting Liu, Yiming Cui, Qingyu Yin, Wei-Nan Zhang, Shijin Wang

Skip-Gram − Zipf + Uniform = Vector Additivity

Alex Gittens, Dimitris Achlioptas, Michael W. Mahoney

Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules

Ivan Vulić, Nikola Mrkšić, Roi Reichart, Diarmuid Ó Séaghdha, Steve Young

Learning Structured Natural Language Representations for Semantic Parsing

Jianpeng Cheng, Siva Reddy, Vijay Saraswat, Mirella Lapata

Neural Relation Extraction with Multi-lingual Attention

Yankai Lin, Zhiyuan Liu, Maosong Sun

Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision

Chen Liang, Jonathan Berant, Quoc Le, Kenneth D. Forbus, Ni Lao

Neural End-to-End Learning for Computational Argumentation Mining

Steffen Eger, Johannes Daxenberger, Iryna Gurevych

Adversarial Multi-task Learning for Text Classification

Pengfei Liu, Xipeng Qiu, Xuanjing Huang