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Charagram: Embedding Words and Sentences via Character n-grams
John Wieting
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Mohit Bansal
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Kevin Gimpel
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Karen Livescu
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Paper Details:
Month: November
Year: 2016
Location: Austin, Texas
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
From Text to Lexicon: Bridging the Gap between Word Embeddings and Lexical Resources
Ilia Kuznetsov
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Iryna Gurevych
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Learning to Generate Word Representations using Subword Information
Yeachan Kim
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Kang-Min Kim
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Ji-Min Lee
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SangKeun Lee
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Neural Machine Translation with Source-Side Latent Graph Parsing
Kazuma Hashimoto
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Yoshimasa Tsuruoka
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Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext
John Wieting
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Jonathan Mallinson
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Kevin Gimpel
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Joint Embeddings of Chinese Words, Characters, and Fine-grained Subcharacter Components
Jinxing Yu
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Xun Jian
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Hao Xin
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Yangqiu Song
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Exploiting Word Internal Structures for Generic Chinese Sentence Representation
Shaonan Wang
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Jiajun Zhang
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Chengqing Zong
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Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
Alexis Conneau
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Douwe Kiela
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Holger Schwenk
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Loïc Barrault
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Antoine Bordes
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A Neural Local Coherence Model for Text Quality Assessment
Mohsen Mesgar
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Michael Strube
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Nonsymbolic Text Representation
Hinrich Schütze
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Retrofitting Word Representations for Unsupervised Sense Aware Word Similarities
Steffen Remus
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Chris Biemann
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SentEval: An Evaluation Toolkit for Universal Sentence Representations
Alexis Conneau
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Douwe Kiela
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attr2vec: Jointly Learning Word and Contextual Attribute Embeddings with Factorization Machines
Fabio Petroni
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Vassilis Plachouras
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Timothy Nugent
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Jochen L. Leidner
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Unsupervised Learning of Sentence Embeddings Using Compositional n-Gram Features
Matteo Pagliardini
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Prakhar Gupta
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Martin Jaggi
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Deep Contextualized Word Representations
Matthew Peters
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Mark Neumann
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Mohit Iyyer
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Matt Gardner
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Christopher Clark
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Kenton Lee
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Luke Zettlemoyer
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From Characters to Words to in Between: Do We Capture Morphology?
Clara Vania
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Adam Lopez
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Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings
John Wieting
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Kevin Gimpel
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Character-Aware Neural Morphological Disambiguation
Alymzhan Toleu
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Gulmira Tolegen
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Aibek Makazhanov
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Improving Distributed Representations of Tweets - Present and Future
Ganesh Jawahar
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ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations
John Wieting
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Kevin Gimpel
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Incorporating Chinese Characters of Words for Lexical Sememe Prediction
Huiming Jin
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Hao Zhu
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Zhiyuan Liu
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Ruobing Xie
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Maosong Sun
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Fen Lin
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Leyu Lin
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Enriching Word Vectors with Subword Information
Piotr Bojanowski
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Edouard Grave
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Armand Joulin
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Tomas Mikolov
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Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints
Nikola Mrkšić
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Ivan Vulić
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Diarmuid Ó Séaghdha
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Ira Leviant
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Roi Reichart
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Milica Gašić
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Anna Korhonen
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Steve Young
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SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation
Daniel Cer
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Mona Diab
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Eneko Agirre
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Iñigo Lopez-Gazpio
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Lucia Specia
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Quality Signals in Generated Stories
Manasvi Sagarkar
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John Wieting
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Lifu Tu
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Kevin Gimpel
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Character and Subword-Based Word Representation for Neural Language Modeling Prediction
Matthieu Labeau
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Alexandre Allauzen
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Neural Paraphrase Identification of Questions with Noisy Pretraining
Gaurav Singh Tomar
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Thyago Duque
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Oscar Täckström
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Jakob Uszkoreit
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Dipanjan Das
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bleu2vec: the Painfully Familiar Metric on Continuous Vector Space Steroids
Andre Tättar
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Mark Fishel
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Morphological Word Embeddings for Arabic Neural Machine Translation in Low-Resource Settings
Pamela Shapiro
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Kevin Duh
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Incorporating Subword Information into Matrix Factorization Word Embeddings
Alexandre Salle
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Aline Villavicencio
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A Hybrid Learning Scheme for Chinese Word Embedding
Wenfan Chen
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Weiguo Sheng
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Word-like character n-gram embedding
Geewook Kim
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Kazuki Fukui
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Hidetoshi Shimodaira
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http://nlp.stanford.edu/projects/glove/
Field Of Study
Linguistic Trends
Embeddings
Morphology
Task
Language Understanding
Tagging
Named Entity Recognition
Semantic Similarity
Machine Translation
Language
Multilingual
English
Spanish
Dataset
News
Twitter
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