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Label Embedding for Zero-shot Fine-grained Named Entity Typing
Yukun Ma
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Erik Cambria
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Sa Gao
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Paper Details:
Month: December
Year: 2016
Location: Osaka, Japan
Venue:
COLING |
Citations
URL
Zero-Shot Open Entity Typing as Type-Compatible Grounding
Ben Zhou
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Daniel Khashabi
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Chen-Tse Tsai
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Dan Roth
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Multi-Task Label Embedding for Text Classification
Honglun Zhang
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Liqiang Xiao
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Wenqing Chen
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Yongkun Wang
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Yaohui Jin
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FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation
Xu Han
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Hao Zhu
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Pengfei Yu
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Ziyun Wang
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Yuan Yao
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Zhiyuan Liu
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Maosong Sun
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Neural Fine-Grained Entity Type Classification with Hierarchy-Aware Loss
Peng Xu
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Denilson Barbosa
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Context-Dependent Sentiment Analysis in User-Generated Videos
Soujanya Poria
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Erik Cambria
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Devamanyu Hazarika
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Navonil Majumder
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Amir Zadeh
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Louis-Philippe Morency
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Zero-Shot Transfer Learning for Event Extraction
Lifu Huang
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Heng Ji
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Kyunghyun Cho
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Ido Dagan
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Sebastian Riedel
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Clare Voss
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Joint Embedding of Words and Labels for Text Classification
Guoyin Wang
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Chunyuan Li
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Wenlin Wang
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Yizhe Zhang
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Dinghan Shen
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Xinyuan Zhang
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Ricardo Henao
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Lawrence Carin
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Fine-grained Entity Typing through Increased Discourse Context and Adaptive Classification Thresholds
Sheng Zhang
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Kevin Duh
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Benjamin Van Durme
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http://creativecommons.org/licenses/by/4.0/
http://github.com/dbpedia-spotlight/dbpedia-spotlight
http://github.com/fnet-coling/ner-zero/tree/master/label_embedding
Field Of Study
Linguistic Trends
Distributional Semantics
Embeddings
Task
Tagging
Named Entity Recognition
Question Answering
Language
English
Dataset
News
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