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UTD: Classifying Semantic Relations by Combining Lexical and Semantic Resources
Bryan Rink
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Sanda Harabagiu
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Paper Details:
Month: July
Year: 2010
Location: Uppsala, Sweden
Venue:
*SEMEVAL |
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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Pairwise Relation Classification with Mirror Instances and a Combined Convolutional Neural Network
Jianfei Yu
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Jing Jiang
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Multilevel Heuristics for Rationale-Based Entity Relation Classification in Sentences
Shiou Tian Hsu
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Mandar Chaudhary
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Nagiza Samatova
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Semantic Compositionality through Recursive Matrix-Vector Spaces
Richard Socher
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Brody Huval
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Christopher D. Manning
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Andrew Y. Ng
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Simple Customization of Recursive Neural Networks for Semantic Relation Classification
Kazuma Hashimoto
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Makoto Miwa
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Yoshimasa Tsuruoka
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Takashi Chikayama
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An Insight Extraction System on BioMedical Literature with Deep Neural Networks
Hua He
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Kris Ganjam
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Navendu Jain
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Jessica Lundin
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Ryen White
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Jimmy Lin
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Graph Convolution over Pruned Dependency Trees Improves Relation Extraction
Yuhao Zhang
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Peng Qi
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Christopher D. Manning
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DERE: A Task and Domain-Independent Slot Filling Framework for Declarative Relation Extraction
Heike Adel
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Laura Ana Maria Bostan
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Sean Papay
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Sebastian Padó
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Roman Klinger
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Learning Transferable Representation for Bilingual Relation Extraction via Convolutional Neural Networks
Bonan Min
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Zhuolin Jiang
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Marjorie Freedman
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Ralph Weischedel
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Task-Oriented Learning of Word Embeddings for Semantic Relation Classification
Kazuma Hashimoto
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Pontus Stenetorp
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Makoto Miwa
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Yoshimasa Tsuruoka
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Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme
Suncong Zheng
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Feng Wang
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Hongyun Bao
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Yuexing Hao
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Peng Zhou
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Bo Xu
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NTNU-2 at SemEval-2017 Task 10: Identifying Synonym and Hyponym Relations among Keyphrases in Scientific Documents
Biswanath Barik
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Erwin Marsi
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MIT-MEDG at SemEval-2018 Task 7: Semantic Relation Classification via Convolution Neural Network
Di Jin
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Franck Dernoncourt
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Elena Sergeeva
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Matthew McDermott
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Geeticka Chauhan
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Using Grammar Rule Clusters for Semantic Relation Classification
Emily Jamison
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Combining Word-Level and Character-Level Representations for Relation Classification of Informal Text
Dongyun Liang
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Weiran Xu
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Yinge Zhao
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http://wordnet.princeton.edu/
http://www.cs.waikato.ac.nz/ml/weka/
http://nlp.stanford.edu/software/lex-parser.shtml
http://verbs.colorado.edu/
http://cemantix.org/assert.html
http://nlp.cs.lth.se/software/semantic
http://nlp.cs.nyu.edu/meyers/NomBank.html
Field Of Study
Task
Word Sense Disambiguation
Information Extraction
Language
English
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