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Neural Architectures 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: April
Year: 2017
Location: Valencia, Spain
Venue:
EACL |
Citations
URL
Attributed and Predictive Entity Embedding for Fine-Grained Entity Typing in Knowledge Bases
Hailong Jin
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Lei Hou
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Juanzi Li
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Tiansi Dong
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Entity Linking via Joint Encoding of Types, Descriptions, and Context
Nitish Gupta
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Sameer Singh
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Dan Roth
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Put It Back: Entity Typing with Language Model Enhancement
Ji Xin
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Hao Zhu
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Xu Han
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Zhiyuan Liu
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Maosong Sun
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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-Multi-View Learning: Multilingual and Multi-Representation Entity Typing
Yadollah Yaghoobzadeh
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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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Embracing Non-Traditional Linguistic Resources for Low-resource Language Name Tagging
Boliang Zhang
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Di Lu
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Xiaoman Pan
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Ying Lin
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Halidanmu Abudukelimu
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Heng Ji
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Kevin Knight
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BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages
Benjamin Heinzerling
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Michael Strube
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Transforming Wikipedia into a Large-Scale Fine-Grained Entity Type Corpus
Abbas Ghaddar
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Philippe Langlais
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A German Corpus for Fine-Grained Named Entity Recognition and Relation Extraction of Traffic and Industry Events
Martin Schiersch
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Veselina Mironova
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Maximilian Schmitt
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Philippe Thomas
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Aleksandra Gabryszak
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Leonhard Hennig
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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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Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking
Shikhar Murty
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Patrick Verga
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Luke Vilnis
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Irena Radovanovic
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Andrew McCallum
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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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Deep learning for extracting protein-protein interactions from biomedical literature
Yifan Peng
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Zhiyong Lu
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http://radimrehurek.com/gensim/
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