Papers
Learning to Rank Question-Answer Pairs Using Hierarchical Recurrent Encoder with Latent Topic Clustering
Seunghyun Yoon, Joongbo Shin, Kyomin Jung
Learning Visually Grounded Sentence Representations
Douwe Kiela, Alexis Conneau, Allan Jabri et al.
Learning with Latent Language
Jacob Andreas, Dan Klein, Sergey Levine
Learning Word Embeddings for Data Sparse and Sentiment Rich Data Sets
Prathusha Kameswara Sarma
Learning Word Embeddings for Low-Resource Languages by PU Learning
Chao Jiang, Hsiang-Fu Yu, Cho-Jui Hsieh et al.
Lessons from the Bible on Modern Topics: Low-Resource Multilingual Topic Model Evaluation
Shudong Hao, Jordan Boyd-Graber, Michael J. Paul
Letting Emotions Flow: Success Prediction by Modeling the Flow of Emotions in Books
Suraj Maharjan, Sudipta Kar, Manuel Montes et al.
Leveraging Context Information for Natural Question Generation
Linfeng Song, Zhiguo Wang, Wael Hamza et al.
Leveraging Intra-User and Inter-User Representation Learning for Automated Hate Speech Detection
Jing Qian, Mai ElSherief, Elizabeth Belding et al.
Leveraging Syntactic Constructions for Metaphor Identification
Kevin Stowe, Martha Palmer
Lexical Substitution for Evaluating Compositional Distributional Models
Maja Buljan, Sebastian Padó, Jan Šnajder
Linguistic Cues to Deception and Perceived Deception in Interview Dialogues
Sarah Ita Levitan, Angel Maredia, Julia Hirschberg
Linguistic Features of Helpfulness in Automated Support for Creative Writing
Melissa Roemmele, Andrew Gordon
Linguistic Features of Sarcasm and Metaphor Production Quality
Stephen Skalicky, Scott Crossley
ListOps: A Diagnostic Dataset for Latent Tree Learning
Nikita Nangia, Samuel Bowman
Literal, Metphorical or Both? Detecting Metaphoricity in Isolated Adjective-Noun Phrases
Agnieszka Mykowiecka, Malgorzata Marciniak, Aleksander Wawer
Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences
Daniel Khashabi, Snigdha Chaturvedi, Michael Roth et al.
Looking for Structure in Lexical and Acoustic-Prosodic Entrainment Behaviors
Andreas Weise, Rivka Levitan
LSDSCC: a Large Scale Domain-Specific Conversational Corpus for Response Generation with Diversity Oriented Evaluation Metrics
Zhen Xu, Nan Jiang, Bingquan Liu et al.
Madly Ambiguous: A Game for Learning about Structural Ambiguity and Why It’s Hard for Computers
Ajda Gokcen, Ethan Hill, Michael White
Meaningless yet meaningful: Morphology grounded subword-level NMT
Tamali Banerjee, Pushpak Bhattacharyya
#MeToo Alexa: How Conversational Systems Respond to Sexual Harassment
Amanda Cercas Curry, Verena Rieser
Metric for Automatic Machine Translation Evaluation based on Universal Sentence Representations
Hiroki Shimanaka, Tomoyuki Kajiwara, Mamoru Komachi
Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse
Xingshan Zeng, Jing Li, Lu Wang et al.