- Kehai Chen, Rui Wang, Masao Utiyama, Lemao Liu, Akihiro Tamura, Eiichiro Sumita, Tiejun Zhao:
Neural Machine Translation with Source Dependency Representation. EMNLP 2017: 2846-2852 - Lu Chen, Xiang Zhou, Cheng Chang, Runzhe Yang, Kai Yu:
Agent-Aware Dropout DQN for Safe and Efficient On-line Dialogue Policy Learning. EMNLP 2017: 2454-2464 - Hao Cheng, Hao Fang, Mari Ostendorf:
A Factored Neural Network Model for Characterizing Online Discussions in Vector Space. EMNLP 2017: 2296-2306 - Prafulla Kumar Choubey, Ruihong Huang:
A Sequential Model for Classifying Temporal Relations between Intra-Sentence Events. EMNLP 2017: 1796-1802 - Prafulla Kumar Choubey, Ruihong Huang:
Event Coreference Resolution by Iteratively Unfolding Inter-dependencies among Events. EMNLP 2017: 2124-2133 - Oana Cocarascu
, Francesca Toni:
Identifying attack and support argumentative relations using deep learning. EMNLP 2017: 1374-1379 - Alexis Conneau, Douwe Kiela, Holger Schwenk, Loïc Barrault
, Antoine Bordes:
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data. EMNLP 2017: 670-680 - Caio Corro, Joseph Le Roux, Mathieu Lacroix
:
Efficient Discontinuous Phrase-Structure Parsing via the Generalized Maximum Spanning Arborescence. EMNLP 2017: 1644-1654 - Ryan Cotterell, Georg Heigold:
Cross-lingual Character-Level Neural Morphological Tagging. EMNLP 2017: 748-759 - Ryan Cotterell, Ekaterina Vylomova, Huda Khayrallah, Christo Kirov, David Yarowsky:
Paradigm Completion for Derivational Morphology. EMNLP 2017: 714-720 - Leonard Dahlmann, Evgeny Matusov, Pavel Petrushkov, Shahram Khadivi:
Neural Machine Translation Leveraging Phrase-based Models in a Hybrid Search. EMNLP 2017: 1411-1420 - Johannes Daxenberger, Steffen Eger, Ivan Habernal, Christian Stab, Iryna Gurevych:
What is the Essence of a Claim? Cross-Domain Claim Identification. EMNLP 2017: 2055-2066 - Jean-Benoit Delbrouck, Stéphane Dupont
:
An empirical study on the effectiveness of images in Multimodal Neural Machine Translation. EMNLP 2017: 910-919 - Jacob Devlin:
Sharp Models on Dull Hardware: Fast and Accurate Neural Machine Translation Decoding on the CPU. EMNLP 2017: 2820-2825 - Tao Ding, Warren K. Bickel, Shimei Pan:
Multi-View Unsupervised User Feature Embedding for Social Media-based Substance Use Prediction. EMNLP 2017: 2275-2284 - Tobias Domhan, Felix Hieber:
Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning. EMNLP 2017: 1500-1505 - Li Dong, Jonathan Mallinson, Siva Reddy, Mirella Lapata:
Learning to Paraphrase for Question Answering. EMNLP 2017: 875-886 - Zi-Yi Dou:
Capturing User and Product Information for Document Level Sentiment Analysis with Deep Memory Network. EMNLP 2017: 521-526 - Xinya Du, Claire Cardie:
Identifying Where to Focus in Reading Comprehension for Neural Question Generation. EMNLP 2017: 2067-2073 - Nan Duan
, Duyu Tang, Peng Chen, Ming Zhou:
Question Generation for Question Answering. EMNLP 2017: 866-874 - Haim Dubossarsky, Daphna Weinshall, Eitan Grossman
:
Outta Control: Laws of Semantic Change and Inherent Biases in Word Representation Models. EMNLP 2017: 1136-1145 - Greg Durrett, Jonathan K. Kummerfeld
, Taylor Berg-Kirkpatrick, Rebecca S. Portnoff, Sadia Afroz, Damon McCoy, Kirill Levchenko, Vern Paxson:
Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation. EMNLP 2017: 2598-2607 - Mihai Dusmanu, Elena Cabrio, Serena Villata:
Argument Mining on Twitter: Arguments, Facts and Sources. EMNLP 2017: 2317-2322 - Joshua D. Eisenberg, Mark A. Finlayson:
A Simpler and More Generalizable Story Detector using Verb and Character Features. EMNLP 2017: 2708-2715 - Micha Elsner, Cory Shain:
Speech segmentation with a neural encoder model of working memory. EMNLP 2017: 1070-1080 - Arash Eshghi, Igor Shalyminov, Oliver Lemon
:
Bootstrapping incremental dialogue systems from minimal data: the generalisation power of dialogue grammars. EMNLP 2017: 2220-2230 - Tobias Falke, Iryna Gurevych:
Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps. EMNLP 2017: 2951-2961 - Meng Fang
, Yuan Li, Trevor Cohn:
Learning how to Active Learn: A Deep Reinforcement Learning Approach. EMNLP 2017: 595-605 - Bjarke Felbo, Alan Mislove, Anders Søgaard, Iyad Rahwan, Sune Lehmann:
Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm. EMNLP 2017: 1615-1625 - Yang Feng, Shiyue Zhang, Andi Zhang, Dong Wang, Andrew Abel:
Memory-augmented Neural Machine Translation. EMNLP 2017: 1390-1399