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NAACL - 2019
Total Papers:- 752
Total Papers accross all years:- 6159
Total Citations :- 0
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Understanding and Improving Hidden Representations for Neural Machine Translation
Guanlin Li |
Lemao Liu |
Xintong Li |
Conghui Zhu |
Tiejun Zhao |
Shuming Shi |
Content Differences in Syntactic and Semantic Representation
Daniel Hershcovich |
Omri Abend |
Ari Rappoport |
Attentive Mimicking: Better Word Embeddings by Attending to Informative Contexts
Timo Schick |
Hinrich Schütze |
Evaluating Style Transfer for Text
Remi Mir |
Bjarke Felbo |
Nick Obradovich |
Iyad Rahwan |
Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition
Shima Asaadi |
Saif Mohammad |
Svetlana Kiritchenko |
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems
Stefan Larson |
Anish Mahendran |
Andrew Lee |
Jonathan K. Kummerfeld |
Parker Hill |
Michael A. Laurenzano |
Johann Hauswald |
Lingjia Tang |
Jason Mars |
Asking the Right Question: Inferring Advice-Seeking Intentions from Personal Narratives
Liye Fu |
Jonathan P. Chang |
Cristian Danescu-Niculescu-Mizil |
Seeing Things from a Different Angle:Discovering Diverse Perspectives about Claims
Sihao Chen |
Daniel Khashabi |
Wenpeng Yin |
Chris Callison-Burch |
Dan Roth |
IMHO Fine-Tuning Improves Claim Detection
Tuhin Chakrabarty |
Christopher Hidey |
Kathy McKeown |
Joint Multiple Intent Detection and Slot Labeling for Goal-Oriented Dialog
Rashmi Gangadharaiah |
Balakrishnan Narayanaswamy |
CITE: A Corpus of Image-Text Discourse Relations
Malihe Alikhani |
Sreyasi Nag Chowdhury |
Gerard de Melo |
Matthew Stone |
Improving Dialogue State Tracking by Discerning the Relevant Context
Sanuj Sharma |
Prafulla Kumar Choubey |
Ruihong Huang |
CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog
Satwik Kottur |
José M. F. Moura |
Devi Parikh |
Dhruv Batra |
Marcus Rohrbach |
Learning Outside the Box: Discourse-level Features Improve Metaphor Identification
Jesse Mu |
Helen Yannakoudakis |
Ekaterina Shutova |
Detection of Abusive Language: the Problem of Biased Datasets
Michael Wiegand |
Josef Ruppenhofer |
Thomas Kleinbauer |
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