Papers
3,922 papers found
Universal Dependencies and Morphology for Hungarian - and on the Price of Universality
Veronika Vincze, Katalin Simkó, Zsolt Szántó et al.
Unsupervised AMR-Dependency Parse Alignment
Wei-Te Chen, Martha Palmer
Unsupervised Cross-Lingual Scaling of Political Texts
Goran Glavaš, Federico Nanni, Simone Paolo Ponzetto
Unsupervised Dialogue Act Induction using Gaussian Mixtures
Tomáš Brychcín, Pavel Král
Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation
Alexander Panchenko, Eugen Ruppert, Stefano Faralli et al.
Unsupervised Training for Large Vocabulary Translation Using Sparse Lexicon and Word Classes
Yunsu Kim, Julian Schamper, Hermann Ney
URIEL and lang2vec: Representing languages as typological, geographical, and phylogenetic vectors
Patrick Littell, David R. Mortensen, Ke Lin et al.
Using Images to Improve Machine-Translating E-Commerce Product Listings.
Iacer Calixto, Daniel Stein, Evgeny Matusov et al.
Using support vector machines and state-of-the-art algorithms for phonetic alignment to identify cognates in multi-lingual wordlists
Gerhard Jäger, Johann-Mattis List, Pavel Sofroniev
Using the Output Embedding to Improve Language Models
Ofir Press, Lior Wolf
Using Twitter Language to Predict the Real Estate Market
Mohammadzaman Zamani, H. Andrew Schwartz
Using Word Embedding for Cross-Language Plagiarism Detection
Jérémy Ferrero, Laurent Besacier, Didier Schwab et al.
Very Deep Convolutional Networks for Text Classification
Alexis Conneau, Holger Schwenk, Loïc Barrault et al.
WAT-SL: A Customizable Web Annotation Tool for Segment Labeling
Johannes Kiesel, Henning Wachsmuth, Khalid Al-Khatib et al.
Web-Scale Language-Independent Cataloging of Noisy Product Listings for E-Commerce
Pradipto Das, Yandi Xia, Aaron Levine et al.
What Do Recurrent Neural Network Grammars Learn About Syntax?
Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong et al.
When a Red Herring in Not a Red Herring: Using Compositional Methods to Detect Non-Compositional Phrases
Julie Weeds, Thomas Kober, Jeremy Reffin et al.
When is multitask learning effective? Semantic sequence prediction under varying data conditions
Héctor Martínez Alonso, Barbara Plank
Which is the Effective Way for Gaokao: Information Retrieval or Neural Networks?
Shangmin Guo, Xiangrong Zeng, Shizhu He et al.
Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison
Alessandro Raganato, Jose Camacho-Collados, Roberto Navigli
Word Vector Space Specialisation
Ivan Vulić, Nikola Mrkšić, Mohammad Taher Pilehvar
Zipf’s and Benford’s laws in Twitter hashtags
José Alberto Pérez Melián, J. Alberto Conejero, Cèsar Ferri Ramírez