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Combining Word Embeddings and Feature Embeddings for Fine-grained Relation Extraction
Mo Yu
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Matthew R. Gormley
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Mark Dredze
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Paper Details:
Month: May–June
Year: 2015
Location: Denver, Colorado
Venue:
NAACL |
Citations
URL
A Unified Architecture for Semantic Role Labeling and Relation Classification
Jiang Guo
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Wanxiang Che
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Haifeng Wang
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Ting Liu
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Jun Xu
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Combining Discrete and Continuous Features for Deterministic Transition-based Dependency Parsing
Meishan Zhang
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Yue Zhang
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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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Multi-Granularity Chinese Word Embedding
Rongchao Yin
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Quan Wang
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Peng Li
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Rui Li
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Bin Wang
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Genre Separation Network with Adversarial Training for Cross-genre Relation Extraction
Ge Shi
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Chong Feng
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Lifu Huang
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Boliang Zhang
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Heng Ji
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Lejian Liao
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Heyan Huang
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Embedding Lexical Features via Low-Rank Tensors
Mo Yu
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Mark Dredze
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Raman Arora
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Matthew R. Gormley
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Deep Dirichlet Multinomial Regression
Adrian Benton
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Mark Dredze
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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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An Algebra for Feature Extraction
Vivek Srikumar
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Learning Composition Models for Phrase Embeddings
Mo Yu
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Mark Dredze
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Unsupervised Pre-training With Seq2Seq Reconstruction Loss for Deep Relation Extraction Models
Zhuang Li
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Lizhen Qu
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Qiongkai Xu
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Mark Johnson
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https://github.com/Gorov/
https://github.com/Gorov/ERE_RE
Field Of Study
Linguistic Trends
Embeddings
Syntax
Task
Tagging
Syntactic Parsing
Semantic Similarity
Relation Extraction
Question Answering
Machine Translation
Approach
Deep Learning
Language
English
Dataset
News
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