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evision PDF of 'What Can We Get From 1000 Tokens? A Case Study of Multilingual POS Tagging For Resource-Poor Languages
Long Duong
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Trevor Cohn
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Karin Verspoor
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Steven Bird
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Paul Cook
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Paper Details:
Month: October
Year: 2014
Location: Doha, Qatar
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Determining the Multiword Expression Inventory of a Surprise Language
Bahar Salehi
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Paul Cook
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Timothy Baldwin
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Leveraging Multilingual Training for Limited Resource Event Extraction
Andrew Hsi
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Yiming Yang
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Jaime Carbonell
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Ruochen Xu
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Model Selection for Type-Supervised Learning with Application to POS Tagging
Kristina Toutanova
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Waleed Ammar
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Pallavi Choudhury
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Hoifung Poon
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Learning when to trust distant supervision: An application to low-resource POS tagging using cross-lingual projection
Meng Fang
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Trevor Cohn
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Low-resource Post Processing of Noisy OCR Output for Historical Corpus Digitisation
Caitlin Richter
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Matthew Wickes
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Deniz Beser
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Mitch Marcus
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Ten Pairs to Tag – Multilingual POS Tagging via Coarse Mapping between Embeddings
Yuan Zhang
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David Gaddy
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Regina Barzilay
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Tommi Jaakkola
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Low Resource Dependency Parsing: Cross-lingual Parameter Sharing in a Neural Network Parser
Long Duong
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Trevor Cohn
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Steven Bird
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Paul Cook
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Cross-Lingual Morphological Tagging for Low-Resource Languages
Jan Buys
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Jan A. Botha
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On the Challenges of Translating NLP Research into Commercial Products
Daniel Dahlmeier
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Domain Adaption of Named Entity Recognition to Support Credit Risk Assessment
Julio Cesar Salinas Alvarado
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Karin Verspoor
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Timothy Baldwin
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http://www.wiktionary.org/
http://www.ark.cs.cmu.edu/global-voices/
Field Of Study
Task
Tagging
Machine Translation
Approach
Semi-supervised Learning
Language
Multilingual
English
Spanish
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