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A Joint Model for Word Embedding and Word Morphology
Kris Cao
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Marek Rei
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Paper Details:
Month: August
Year: 2016
Location: Berlin, Germany
Venue:
Rep4NLP |
WS |
SIG: SIGREP
Citations
URL
Attending to Characters in Neural Sequence Labeling Models
Marek Rei
|
Gamal Crichton
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Sampo Pyysalo
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Subword-augmented Embedding for Cloze Reading Comprehension
Zhuosheng Zhang
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Yafang Huang
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Hai Zhao
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A Framework for Understanding the Role of Morphology in Universal Dependency Parsing
Mathieu Dehouck
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Pascal Denis
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Multi-level Representations for Fine-Grained Typing of Knowledge Base Entities
Yadollah Yaghoobzadeh
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Hinrich Schütze
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Stanford’s Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task
Timothy Dozat
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Peng Qi
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Christopher D. Manning
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Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings
Bernd Bohnet
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Ryan McDonald
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Gonçalo Simões
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Daniel Andor
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Emily Pitler
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Joshua Maynez
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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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Subword-level Composition Functions for Learning Word Embeddings
Bofang Li
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Aleksandr Drozd
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Tao Liu
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Xiaoyong Du
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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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https://radimrehurek.com/gensim/
Field Of Study
Linguistic Trends
Embeddings
Morphology
Task
Morphological Analysis
Tagging
Semantic Similarity
Language
English
Hebrew
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