Papers
6,952 papers found
PAWS: A Multi-lingual Parallel Treebank with Anaphoric Relations
Anna Nedoluzhko, Michal Novák, Maciej Ogrodniczuk
Pay-Per-Request Deployment of Neural Network Models Using Serverless Architectures
Zhucheng Tu, Mengping Li, Jimmy Lin
Personalized neural language models for real-world query auto completion
Nicolas Fiorini, Zhiyong Lu
Phrase-Level Metaphor Identification Using Distributed Representations of Word Meaning
Omnia Zayed, John P. McCrae, Paul Buitelaar
Pieces of Eight: 8-bit Neural Machine Translation
Jerry Quinn, Miguel Ballesteros
Pivot Based Language Modeling for Improved Neural Domain Adaptation
Yftah Ziser, Roi Reichart
Please Clap: Modeling Applause in Campaign Speeches
Jon Gillick, David Bamman
Points, Paths, and Playscapes: Large-scale Spatial Language Understanding Tasks Set in the Real World
Jason Baldridge, Tania Bedrax-Weiss, Daphne Luong et al.
Polyglot Semantic Parsing in APIs
Kyle Richardson, Jonathan Berant, Jonas Kuhn
Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources
Ivan Vulić, Goran Glavaš, Nikola Mrkšić et al.
Practical Application of Domain Dependent Confidence Measurement for Spoken Language Understanding Systems
Mahnoosh Mehrabani, David Thomson, Benjamin Stern
Pragmatically Informative Image Captioning with Character-Level Inference
Reuben Cohn-Gordon, Noah Goodman, Christopher Potts
Predicting Foreign Language Usage from English-Only Social Media Posts
Svitlana Volkova, Stephen Ranshous, Lawrence Phillips
Predicting Human Metaphor Paraphrase Judgments with Deep Neural Networks
Yuri Bizzoni, Shalom Lappin
Predicting Human Trustfulness from Facebook Language
Mohammadzaman Zamani, Anneke Buffone, H. Andrew Schwartz
Predicting misreadings from gaze in children with reading difficulties
Joachim Bingel, Maria Barrett, Sigrid Klerke
Predicting Psychological Health from Childhood Essays. The UGent-IDLab CLPsych 2018 Shared Task System.
Klim Zaporojets, Lucas Sterckx, Johannes Deleu et al.
Predicting Psychological Health from Childhood Essays with Convolutional Neural Networks for the CLPsych 2018 Shared Task (Team UKNLP)
Anthony Rios, Tung Tran, Ramakanth Kavuluru
Predicting Twitter User Demographics from Names Alone
Zach Wood-Doughty, Nicholas Andrews, Rebecca Marvin et al.
Prediction for the Newsroom: Which Articles Will Get the Most Comments?
Carl Ambroselli, Julian Risch, Ralf Krestel et al.
Provable Fast Greedy Compressive Summarization with Any Monotone Submodular Function
Shinsaku Sakaue, Tsutomu Hirao, Masaaki Nishino et al.
Pruning Basic Elements for Better Automatic Evaluation of Summaries
Ukyo Honda, Tsutomu Hirao, Masaaki Nagata
Punny Captions: Witty Wordplay in Image Descriptions
Arjun Chandrasekaran, Devi Parikh, Mohit Bansal