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Semantic Representations for Domain Adaptation: A Case Study on the Tree Kernel-based Method for Relation Extraction
Thien Huu Nguyen
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Barbara Plank
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Ralph Grishman
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Paper Details:
Month: July
Year: 2015
Location: Beijing, China
Venue:
ACL |
IJCNLP |
Citations
URL
Joint Learning of Local and Global Features for Entity Linking via Neural Networks
Thien Huu Nguyen
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Nicolas Fauceglia
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Mariano Rodriguez Muro
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Oktie Hassanzadeh
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Alfio Massimiliano Gliozzo
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Mohammad Sadoghi
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Pairwise Relation Classification with Mirror Instances and a Combined Convolutional Neural Network
Jianfei Yu
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Jing Jiang
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Improved Relation Extraction with Feature-Rich Compositional Embedding Models
Matthew R. Gormley
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Mo Yu
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Mark Dredze
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Modeling Skip-Grams for Event Detection with Convolutional Neural Networks
Thien Huu Nguyen
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Ralph Grishman
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Domain Adaptation for Relation Extraction with Domain Adversarial Neural Network
Lisheng Fu
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Thien Huu Nguyen
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Bonan Min
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Ralph Grishman
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Domain Adaptation for Named Entity Recognition Using CRFs
Tian Tian
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Marco Dinarelli
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Isabelle Tellier
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Pedro Dias Cardoso
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LiMoSINe Pipeline: Multilingual UIMA-based NLP Platform
Olga Uryupina
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Barbara Plank
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Gianni Barlacchi
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Francisco J. Valverde Albacete
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Manos Tsagkias
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Antonio Uva
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Alessandro Moschitti
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A Two-stage Approach for Extending Event Detection to New Types via Neural Networks
Thien Huu Nguyen
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Lisheng Fu
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Kyunghyun Cho
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Ralph Grishman
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https://bitbucket.org/nycphre/limo-re
http://metaoptimize.com/projects/wordreprs/
http://mallet.cs.umass.edu/
Field Of Study
Linguistic Trends
Embeddings
Syntax
Task
Information Extraction
Relation Extraction
Approach
Kernel Method
Dataset
News
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