Papers
Unsupervised Word Segmentation from Speech with Attention
Pierre Godard, Marcely Zanon Boito, Lucas Ondel et al.
Uplift Modeling from Separate Labels
Ikko Yamane, Florian Yger, Jamal Atif et al.
Urdu Word Segmentation using Conditional Random Fields (CRFs)
Haris Bin Zia, Agha Ali Raza, Awais Athar
User-centric Evaluation of Automatic Punctuation in ASR Closed Captioning
Máté Ákos Tündik, György Szaszák, Gábor Gosztolya et al.
User Information Augmented Semantic Frame Parsing Using Progressive Neural Networks
Yilin Shen, Xiangyu Zeng, Yu Wang et al.
User-Level Race and Ethnicity Predictors from Twitter Text
Daniel Preoţiuc-Pietro, Lyle Ungar
USI-IR at IEST 2018: Sequence Modeling and Pseudo-Relevance Feedback for Implicit Emotion Detection
Esteban Ríssola, Anastasia Giachanou, Fabio Crestani
Using active learning to expand training data for implicit discourse relation recognition
Yang Xu, Yu Hong, Huibin Ruan et al.
Using Aspect Extraction Approaches to Generate Review Summaries and User Profiles
Christopher Mitcheltree, Skyler Wharton, Avneesh Saluja
Using Author Embeddings to Improve Tweet Stance Classification
Adrian Benton, Mark Dredze
Using Classifier Features to Determine Language Transfer on Morphemes
Alexandra Lavrentovich
Using context to identify the language of face-saving
Nona Naderi, Graeme Hirst
Using Contextual Bandits with Behavioral Constraints for Constrained Online Movie Recommendation
Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei et al.
Using contextual information for automatic triage of posts in a peer-support forum
Edgar Altszyler, Ariel J. Berenstein, David Milne et al.
Using Deep Neural Networks for Identification of Slavic Languages from Acoustic Signal
Lukas Mateju, Petr Cerva, Jindrich Zdansky et al.
Using Embeddings to Compare FrameNet Frames Across Languages
Jennifer Sikos, Sebastian Padó
Using exemplar responses for training and evaluating automated speech scoring systems
Anastassia Loukina, Klaus Zechner, James Bruno et al.
Using Formulaic Expressions in Writing Assistance Systems
Kenichi Iwatsuki, Akiko Aizawa
Using Hedge Detection to Improve Committed Belief Tagging
Morgan Ulinski, Seth Benjamin, Julia Hirschberg
Using Inherent Structures to design Lean 2-layer RBMs
Abhishek Bansal, Abhinav Anand, Chiranjib Bhattacharyya
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