Papers
Typological Features for Multilingual Delexicalised Dependency Parsing
Manon Scholivet, Franck Dary, Alexis Nasr et al.
UHop: An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based Question Answering
Zi-Yuan Chen, Chih-Hung Chang, Yi-Pei Chen et al.
Understanding and Improving Hidden Representations for Neural Machine Translation
Guanlin Li, Lemao Liu, Xintong Li et al.
Understanding Dataset Design Choices for Multi-hop Reasoning
Jifan Chen, Greg Durrett
Understanding language-elicited EEG data by predicting it from a fine-tuned language model
Dan Schwartz, Tom Mitchell
Understanding Learning Dynamics Of Language Models with SVCCA
Naomi Saphra, Adam Lopez
Understanding the Behaviour of Neural Abstractive Summarizers using Contrastive Examples
Krtin Kumar, Jackie Chi Kit Cheung
Understanding the Polarity of Events in the Biomedical Literature: Deep Learning vs. Linguistically-informed Methods
Enrique Noriega-Atala, Zhengzhong Liang, John Bachman et al.
Unifying Human and Statistical Evaluation for Natural Language Generation
Tatsunori B. Hashimoto, Hugh Zhang, Percy Liang
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning
Shuohang Wang, Sheng Zhang, Yelong Shen et al.
Unsupervised Dialog Structure Learning
Weiyan Shi, Tiancheng Zhao, Zhou Yu
Unsupervised Extraction of Partial Translations for Neural Machine Translation
Benjamin Marie, Atsushi Fujita
Unsupervised Hierarchical Story Infilling
Daphne Ippolito, David Grangier, Chris Callison-Burch et al.
Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders
Andrew Drozdov, Patrick Verga, Mohit Yadav et al.
Unsupervised Recurrent Neural Network Grammars
Yoon Kim, Alexander Rush, Lei Yu et al.
Uphill from here: Sentiment patterns in videos from left- and right-wing YouTube news channels
Felix Soldner, Justin Chun-ting Ho, Mykola Makhortykh et al.
Using Contextual Representations for Suicide Risk Assessment from Internet Forums
Ashwin Karthik Ambalavanan, Pranjali Dileep Jagtap, Soumya Adhya et al.
Using Grounded Word Representations to Study Theories of Lexical Concepts
Dylan Ebert, Ellie Pavlick
Using Large Corpus N-gram Statistics to Improve Recurrent Neural Language Models
Yiben Yang, Ji-Ping Wang, Doug Downey
Using natural conversations to classify autism with limited data: Age matters
Michael Hauser, Evangelos Sariyanidi, Birkan Tunc et al.
Using Natural Language Relations between Answer Choices for Machine Comprehension
Rajkumar Pujari, Dan Goldwasser
Using Rhetorical Structure Theory to Assess Discourse Coherence for Non-native Spontaneous Speech
Xinhao Wang, Binod Gyawali, James V. Bruno et al.
Using Similarity Measures to Select Pretraining Data for NER
Xiang Dai, Sarvnaz Karimi, Ben Hachey et al.
Using Structured Representation and Data: A Hybrid Model for Negation and Sentiment in Customer Service Conversations
Amita Misra, Mansurul Bhuiyan, Jalal Mahmud et al.
Using time series and natural language processing to identify viral moments in the 2016 U.S. Presidential Debate
Josephine Lukito, Prathusha K Sarma, Jordan Foley et al.