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Word Embeddings through Hellinger PCA
Rémi Lebret
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Ronan Collobert
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Paper Details:
Month: April
Year: 2014
Location: Gothenburg, Sweden
Venue:
EACL |
Citations
URL
PersoNER: Persian Named-Entity Recognition
Hanieh Poostchi
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Ehsan Zare Borzeshi
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Mohammad Abdous
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Massimo Piccardi
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Task-oriented Word Embedding for Text Classification
Qian Liu
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Heyan Huang
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Yang Gao
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Xiaochi Wei
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Yuxin Tian
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Luyang Liu
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Composition of Word Representations Improves Semantic Role Labelling
Michael Roth
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Kristian Woodsend
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Glove: Global Vectors for Word Representation
Jeffrey Pennington
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Richard Socher
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Christopher Manning
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Evaluation methods for unsupervised word embeddings
Tobias Schnabel
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Igor Labutov
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David Mimno
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Thorsten Joachims
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Sentiment Flow - A General Model of Web Review Argumentation
Henning Wachsmuth
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Johannes Kiesel
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Benno Stein
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Comparing Word Representations for Implicit Discourse Relation Classification
Chloé Braud
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Pascal Denis
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Learning Connective-based Word Representations for Implicit Discourse Relation Identification
Chloé Braud
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Pascal Denis
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Robust Gram Embeddings
Taygun Kekeç
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David M. J. Tax
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Neural Text Generation from Structured Data with Application to the Biography Domain
Rémi Lebret
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David Grangier
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Michael Auli
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Delexicalized Word Embeddings for Cross-lingual Dependency Parsing
Mathieu Dehouck
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Pascal Denis
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Online Learning of Task-specific Word Representations with a Joint Biconvex Passive-Aggressive Algorithm
Pascal Denis
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Liva Ralaivola
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Symmetric Pattern Based Word Embeddings for Improved Word Similarity Prediction
Roy Schwartz
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Roi Reichart
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Ari Rappoport
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BiLSTM-CRF for Persian Named-Entity Recognition ArmanPersoNERCorpus: the First Entity-Annotated Persian Dataset
Hanieh Poostchi
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Ehsan Zare Borzeshi
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Massimo Piccardi
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Multiview LSA: Representation Learning via Generalized CCA
Pushpendre Rastogi
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Benjamin Van Durme
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Raman Arora
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Global Relation Embedding for Relation Extraction
Yu Su
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Honglei Liu
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Semih Yavuz
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Izzeddin Gür
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Huan Sun
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Xifeng Yan
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Vector space semantics with frequency-driven motifs
Shashank Srivastava
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Eduard Hovy
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Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations
Fei Sun
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Jiafeng Guo
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Yanyan Lan
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Jun Xu
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Xueqi Cheng
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Strategies for Training Large Vocabulary Neural Language Models
Wenlin Chen
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David Grangier
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Michael Auli
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DeepNL: a Deep Learning NLP pipeline
Giuseppe Attardi
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An Improved Crowdsourcing Based Evaluation Technique for Word Embedding Methods
Farhana Ferdousi Liza
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Marek Grześ
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Bidirectional LSTM-CRF for Clinical Concept Extraction
Raghavendra Chalapathy
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Ehsan Zare Borzeshi
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Massimo Piccardi
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Real-valued Syntactic Word Vectors (RSV) for Greedy Neural Dependency Parsing
Ali Basirat
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Joakim Nivre
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Spectral Graph-Based Method of Multimodal Word Embedding
Kazuki Fukui
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Takamasa Oshikiri
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Hidetoshi Shimodaira
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A Geometric Method for Detecting Semantic Coercion
Stephen McGregor
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Elisabetta Jezek
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Matthew Purver
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Geraint Wiggins
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Syntax-based Transfer Learning for the Task of Biomedical Relation Extraction
Joël Legrand
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Yannick Toussaint
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Chedy Raïssi
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Adrien Coulet
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Reducing Lexical Features in Parsing by Word Embeddings
Hiroya Komatsu
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Ran Tian
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Naoaki Okazaki
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Kentaro Inui
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http://download.wikimedia.org
http://nlp.stanford.edu/software/tokenizer.shtml
http://www.cis.upenn.edu/
http://ml.nec-labs.com/senna/
http://metaoptimize.com/projects/wordreprs/
http://www.cnts.ua.ac.be/conll2003/ner/
http://www.andrew-maas.net/data/sentiment
http://www.lebret.ch/words/
Field Of Study
Linguistic Trends
Embeddings
Task
Tagging
Chunking
Named Entity Recognition
Language
English
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