Papers
Using Intermediate Representations to Solve Math Word Problems
Danqing Huang, Jin-Ge Yao, Chin-Yew Lin et al.
Using J-K-fold Cross Validation To Reduce Variance When Tuning NLP Models
Henry Moss, David Leslie, Paul Rayson
Using Language Learner Data for Metaphor Detection
Egon Stemle, Alexander Onysko
Using Large Ensembles of Control Variates for Variational Inference
Tomas Geffner, Justin Domke
Using Lexical Alignment and Referring Ability to Address Data Sparsity in Situated Dialog Reference Resolution
Todd Shore, Gabriel Skantze
Using Linguistic Features to Improve the Generalization Capability of Neural Coreference Resolvers
Nafise Sadat Moosavi, Michael Strube
Using LIP to Gloss Over Faces in Single-Stage Face Detection Networks
Siqi Yang, Arnold Wiliem, Shaokang Chen et al.
Using Monolingual Data in Neural Machine Translation: a Systematic Study
Franck Burlot, François Yvon
Using Morphological Knowledge in Open-Vocabulary Neural Language Models
Austin Matthews, Graham Neubig, Chris Dyer
Using Neural Transfer Learning for Morpho-syntactic Tagging of South-Slavic Languages Tweets
Sara Meftah, Nasredine Semmar, Fatiha Sadat et al.
Using Object Information for Spotting Text
Shitala Prasad, Adams Wai Kin Kong
Using Paraphrasing and Memory-Augmented Models to Combat Data Sparsity in Question Interpretation with a Virtual Patient Dialogue System
Lifeng Jin, David King, Amad Hussein et al.
Using PPM for Health Related Text Detection
Victoria Bobicev, Victoria Lazu, Daniela Istrati
Using Prosodic and Lexical Information for Learning Utterance-level Behaviors in Psychotherapy
Karan Singla, Zhuohao Chen, Nikolaos Flemotomos et al.
Using Pupillometry to Measure the Cognitive Load of Synthetic Speech
Avashna Govender, Simon King
Using relative entropy for detection and analysis of periods of diachronic linguistic change
Stefania Degaetano-Ortlieb, Elke Teich
Using Reward Machines for High-Level Task Specification and Decomposition in Reinforcement Learning
Rodrigo Toro Icarte, Toryn Klassen, Richard Valenzano et al.
Using Shifted Real Spectrum Mask as Training Target for Supervised Speech Separation
Yun Liu, Hui Zhang, Xueliang Zhang
Using Side Information to Reliably Learn Low-Rank Matrices from Missing and Corrupted Observations
Kai-Yang Chiang, Inderjit S. Dhillon, Cho-Jui Hsieh
Using Sparse Semantic Embeddings Learned from Multimodal Text and Image Data to Model Human Conceptual Knowledge
Steven Derby, Paul Miller, Brian Murphy et al.
Using Spoken Word Posterior Features in Neural Machine Translation
Kaho Osamura, Takatomo Kano, Sakriani Sakti et al.
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise
Dan Hendrycks, Mantas Mazeika, Duncan Wilson et al.