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An Attentive Neural Architecture for Fine-grained Entity Type Classification
Sonse Shimaoka
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Pontus Stenetorp
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Kentaro Inui
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Sebastian Riedel
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Paper Details:
Month: June
Year: 2016
Location: San Diego, CA
Venue:
WS |
Citations
URL
Modelling Sentence Pairs with Tree-structured Attentive Encoder
Yao Zhou
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Cong Liu
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Yan Pan
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Multi-level Representations for Fine-Grained Typing of Knowledge Base Entities
Yadollah Yaghoobzadeh
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Hinrich Schütze
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Generalizing to Unseen Entities and Entity Pairs with Row-less Universal Schema
Patrick Verga
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Arvind Neelakantan
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Andrew McCallum
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Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings
Abhishek Abhishek
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Ashish Anand
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Amit Awekar
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Noise Mitigation for Neural Entity Typing and Relation Extraction
Yadollah Yaghoobzadeh
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Heike Adel
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Hinrich Schütze
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End-to-End Trainable Attentive Decoder for Hierarchical Entity Classification
Sanjeev Karn
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Ulli Waltinger
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Hinrich Schütze
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Ultra-Fine Entity Typing
Eunsol Choi
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Omer Levy
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Yejin Choi
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Luke Zettlemoyer
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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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Evaluating Word Embeddings in Multi-label Classification Using Fine-Grained Name Typing
Yadollah Yaghoobzadeh
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Katharina Kann
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Hinrich Schütze
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Neural Joint Learning for Classifying Wikipedia Articles into Fine-grained Named Entity Types
Masatoshi Suzuki
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Koji Matsuda
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Satoshi Sekine
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Naoaki Okazaki
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Kentaro Inui
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No URLs Found
Field Of Study
Linguistic Trends
Embeddings
Task
Relation Extraction
Language
Korean
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