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Multilingual Language Processing From Bytes
Dan Gillick
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Cliff Brunk
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Oriol Vinyals
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Amarnag Subramanya
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Paper Details:
Month: June
Year: 2016
Location: San Diego, California
Venue:
NAACL |
Citations
URL
CharNER: Character-Level Named Entity Recognition
Onur Kuru
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Ozan Arkan Can
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Deniz Yuret
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Does Higher Order LSTM Have Better Accuracy for Segmenting and Labeling Sequence Data?
Yi Zhang
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Xu Sun
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Shuming Ma
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Yang Yang
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Xuancheng Ren
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Learning What’s Easy: Fully Differentiable Neural Easy-First Taggers
André F. T. Martins
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Julia Kreutzer
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A Sub-Character Architecture for Korean Language Processing
Karl Stratos
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Natural Language Processing with Small Feed-Forward Networks
Jan A. Botha
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Emily Pitler
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Ji Ma
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Anton Bakalov
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Alex Salcianu
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David Weiss
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Ryan McDonald
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Slav Petrov
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An Extensive Empirical Evaluation of Character-Based Morphological Tagging for 14 Languages
Georg Heigold
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Guenter Neumann
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Josef van Genabith
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Learning to generate one-sentence biographies from Wikidata
Andrew Chisholm
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Will Radford
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Ben Hachey
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Nonsymbolic Text Representation
Hinrich Schütze
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Named Entity Recognition with Stack Residual LSTM and Trainable Bias Decoding
Quan Tran
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Andrew MacKinlay
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Antonio Jimeno Yepes
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Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss
Barbara Plank
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Anders Søgaard
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Yoav Goldberg
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A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling
Ying Lin
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Shengqi Yang
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Veselin Stoyanov
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Heng Ji
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A Study of the Importance of External Knowledge in the Named Entity Recognition Task
Dominic Seyler
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Tatiana Dembelova
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Luciano Del Corro
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Johannes Hoffart
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Gerhard Weikum
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Judicious Selection of Training Data in Assisting Language for Multilingual Neural NER
Rudra Murthy
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Anoop Kunchukuttan
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Pushpak Bhattacharyya
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Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation
Melvin Johnson
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Mike Schuster
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Quoc V. Le
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Maxim Krikun
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Yonghui Wu
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Zhifeng Chen
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Nikhil Thorat
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Fernanda Viégas
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Martin Wattenberg
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Greg Corrado
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Macduff Hughes
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Jeffrey Dean
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Fully Character-Level Neural Machine Translation without Explicit Segmentation
Jason Lee
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Kyunghyun Cho
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Thomas Hofmann
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Joint Semantic Synthesis and Morphological Analysis of the Derived Word
Ryan Cotterell
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Hinrich Schütze
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Named Entity Recognition in Swedish Health Records with Character-Based Deep Bidirectional LSTMs
Simon Almgren
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Sean Pavlov
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Olof Mogren
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Hierarchical Character-Word Models for Language Identification
Aaron Jaech
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George Mulcaire
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Shobhit Hathi
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Mari Ostendorf
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Noah A. Smith
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What do we need to know about an unknown word when parsing German
Bich-Ngoc Do
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Ines Rehbein
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Anette Frank
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Byte-based Neural Machine Translation
Marta R. Costa-jussà
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Carlos Escolano
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José A. R. Fonollosa
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How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse?
Georg Heigold
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Stalin Varanasi
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Günter Neumann
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Josef van Genabith
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Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training
Peng Xu
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Andrea Madotto
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Chien-Sheng Wu
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Ji Ho Park
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Pascale Fung
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Massively Parallel Cross-Lingual Learning in Low-Resource Target Language Translation
Zhong Zhou
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Matthias Sperber
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Alexander Waibel
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http://universaldependencies.github.io/docs/
http://www.cnts.ua.ac.be/conll200{2,3}/ner
Field Of Study
Linguistic Trends
Embeddings
Syntax
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Tagging
Named Entity Recognition
Machine Translation
Word Segmentation
Authorship Attribution
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Multilingual
Chinese
English
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French
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