Papers
Using Embeddings to Correct for Unobserved Confounding in Networks
Victor Veitch, Yixin Wang, David Blei
Using Functional Schemas to Understand Social Media Narratives
Xinru Yan, Aakanksha Naik, Yohan Jo et al.
Using Graphs for Word Embedding with Enhanced Semantic Relations
Matan Zuckerman, Mark Last
Using Grounded Word Representations to Study Theories of Lexical Concepts
Dylan Ebert, Ellie Pavlick
Using Human Attention to Extract Keyphrase from Microblog Post
Yingyi Zhang, Chengzhi Zhang
Using Large Corpus N-gram Statistics to Improve Recurrent Neural Language Models
Yiben Yang, Ji-Ping Wang, Doug Downey
Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs
Angela Fan, Claire Gardent, Chloé Braud et al.
Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs
Angela Fan, Claire Gardent, Chloé Braud et al.
Using LSTMs to Assess the Obligatoriness of Phonological Distinctive Features for Phonotactic Learning
Nicole Mirea, Klinton Bicknell
Using Machine Learning and Deep Learning Methods to Find Mentions of Adverse Drug Reactions in Social Media
Pilar López Úbeda, Manuel Carlos Díaz Galiano, Maite Martin et al.
Using natural conversations to classify autism with limited data: Age matters
Michael Hauser, Evangelos Sariyanidi, Birkan Tunc et al.
Using Natural Language for Reward Shaping in Reinforcement Learning
Prasoon Goyal, Scott Niekum, Raymond J. Mooney
Using Natural Language Relations between Answer Choices for Machine Comprehension
Rajkumar Pujari, Dan Goldwasser
Using OntoLex-Lemon for Representing and Interlinking German Multiword Expressions in OdeNet and MMORPH
Thierry Declerck, Melanie Siegel, Stefania Racioppa
Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets
Esma Balkir, Masha Naslidnyk, Dave Palfrey et al.
Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets
Esma Balkir, Masha Naslidnyk, Dave Palfrey et al.
Using Pre-Training Can Improve Model Robustness and Uncertainty
Dan Hendrycks, Kimin Lee, Mantas Mazeika
Using Priming to Uncover the Organization of Syntactic Representations in Neural Language Models
Grusha Prasad, Marten van Schijndel, Tal Linzen
Using Prosody to Discover Word Order Alternations in a Novel Language
Anouschka Foltz, Sarah Cooper, Tamsin M. McKelvey
Using Pupil Dilation to Measure Cognitive Load When Listening to Text-to-Speech in Quiet and in Noise
Avashna Govender, Anita E. Wagner, Simon King
Using Real-Time Visual Biofeedback for Second Language Instruction
Shawn Nissen, Rebecca Nissen
Using Rhetorical Structure Theory to Assess Discourse Coherence for Non-native Spontaneous Speech
Xinhao Wang, Binod Gyawali, James V. Bruno et al.
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty
Dan Hendrycks, Mantas Mazeika, Saurav Kadavath et al.
Using Semantic Similarity as Reward for Reinforcement Learning in Sentence Generation
Go Yasui, Yoshimasa Tsuruoka, Masaaki Nagata