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Model-based Word Embeddings from Decompositions of Count Matrices
Karl Stratos
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Michael Collins
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Daniel Hsu
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Paper Details:
Month: July
Year: 2015
Location: Beijing, China
Venue:
ACL |
IJCNLP |
Citations
URL
Part-of-speech Taggers for Low-resource Languages using CCA Features
Young-Bum Kim
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Benjamin Snyder
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Ruhi Sarikaya
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A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution
Shaohua Li
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Jun Zhu
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Chunyan Miao
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What’s in an Embedding? Analyzing Word Embeddings through Multilingual Evaluation
Arne Köhn
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A Sub-Character Architecture for Korean Language Processing
Karl Stratos
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Nonsymbolic Text Representation
Hinrich Schütze
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Correlation Analysis of Chronic Obstructive Pulmonary Disease (COPD) and its Biomarkers Using the Word Embeddings
Byeong-Hun Yoon
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Yu-Seop Kim
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Detecting Optional Arguments of Verbs
András Kornai
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Dávid Márk Nemeskey
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Gábor Recski
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Learning Word Embeddings for Low-Resource Languages by PU Learning
Chao Jiang
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Hsiang-Fu Yu
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Cho-Jui Hsieh
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Kai-Wei Chang
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Information-Theory Interpretation of the Skip-Gram Negative-Sampling Objective Function
Oren Melamud
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Jacob Goldberger
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Representing Sentences as Low-Rank Subspaces
Jiaqi Mu
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Suma Bhat
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Pramod Viswanath
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Batch IS NOT Heavy: Learning Word Representations From All Samples
Xin Xin
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Fajie Yuan
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Xiangnan He
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Joemon M. Jose
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Unsupervised Part-Of-Speech Tagging with Anchor Hidden Markov Models
Karl Stratos
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Michael Collins
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Daniel Hsu
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Encoding Prior Knowledge with Eigenword Embeddings
Dominique Osborne
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Shashi Narayan
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Shay B. Cohen
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Problems With Evaluation of Word Embeddings Using Word Similarity Tasks
Manaal Faruqui
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Yulia Tsvetkov
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Pushpendre Rastogi
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Chris Dyer
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http://www.cs.technion.ac
http://clic.cimec.unitn.it/
http://research.microsoft.com/en-us/
http://www.fit.vutbr.cz/
https://github.com/
Field Of Study
Linguistic Trends
Embeddings
Approach
Representation Learning
Language
English
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