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SemEval-2018 Task 7: Semantic Relation Extraction and Classification in Scientific Papers
Kata Gábor
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Davide Buscaldi
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Anne-Kathrin Schumann
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Behrang QasemiZadeh
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Haïfa Zargayouna
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Thierry Charnois
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Paper Details:
Month: June
Year: 2018
Location: New Orleans, Louisiana
Venue:
*SEMEVAL |
Citations
URL
Adversarial Feature Adaptation for Cross-lingual Relation Classification
Bowei Zou
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Zengzhuang Xu
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Yu Hong
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Guodong Zhou
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Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction
Yi Luan
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Luheng He
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Mari Ostendorf
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Hannaneh Hajishirzi
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ETH-DS3Lab at SemEval-2018 Task 7: Effectively Combining Recurrent and Convolutional Neural Networks for Relation Classification and Extraction
Jonathan Rotsztejn
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Nora Hollenstein
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Ce Zhang
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LightRel at SemEval-2018 Task 7: Lightweight and Fast Relation Classification
Tyler Renslow
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Günter Neumann
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OhioState at SemEval-2018 Task 7: Exploiting Data Augmentation for Relation Classification in Scientific Papers Using Piecewise Convolutional Neural Networks
Dushyanta Dhyani
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The UWNLP system at SemEval-2018 Task 7: Neural Relation Extraction Model with Selectively Incorporated Concept Embeddings
Yi Luan
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Mari Ostendorf
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Hannaneh Hajishirzi
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UC3M-NII Team at SemEval-2018 Task 7: Semantic Relation Classification in Scientific Papers via Convolutional Neural Network
Víctor Suárez-Paniagua
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Isabel Segura-Bedmar
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Akiko Aizawa
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SIRIUS-LTG-UiO at SemEval-2018 Task 7: Convolutional Neural Networks with Shortest Dependency Paths for Semantic Relation Extraction and Classification in Scientific Papers
Farhad Nooralahzadeh
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Lilja Øvrelid
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Jan Tore Lønning
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IRCMS at SemEval-2018 Task 7 : Evaluating a basic CNN Method and Traditional Pipeline Method for Relation Classification
Zhongbo Yin
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Zhunchen Luo
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Wei Luo
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Mao Bin
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Changhai Tian
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Yuming Ye
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Shuai Wu
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Bf3R at SemEval-2018 Task 7: Evaluating Two Relation Extraction Tools for Finding Semantic Relations in Biomedical Abstracts
Mariana Neves
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Daniel Butzke
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Gilbert Schönfelder
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Barbara Grune
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Texterra at SemEval-2018 Task 7: Exploiting Syntactic Information for Relation Extraction and Classification in Scientific Papers
Andrey Sysoev
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Vladimir Mayorov
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GU IRLAB at SemEval-2018 Task 7: Tree-LSTMs for Scientific Relation Classification
Sean MacAvaney
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Luca Soldaini
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Arman Cohan
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Nazli Goharian
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ClaiRE at SemEval-2018 Task 7: Classification of Relations using Embeddings
Lena Hettinger
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Alexander Dallmann
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Albin Zehe
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Thomas Niebler
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Andreas Hotho
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TakeLab at SemEval-2018 Task 7: Combining Sparse and Dense Features for Relation Classification in Scientific Texts
Martin Gluhak
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Maria Pia di Buono
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Abbas Akkasi
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Jan Šnajder
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NEUROSENT-PDI at SemEval-2018 Task 7: Discovering Textual Relations With a Neural Network Model
Mauro Dragoni
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SciREL at SemEval-2018 Task 7: A System for Semantic Relation Extraction and Classification
Darshini Mahendran
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Chathurika Brahmana
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Bridget McInnes
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Talla at SemEval-2018 Task 7: Hybrid Loss Optimization for Relation Classification using Convolutional Neural Networks
Bhanu Pratap
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Daniel Shank
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Oladipo Ositelu
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Byron Galbraith
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Syntactic Dependency Representations in Neural Relation Classification
Farhad Nooralahzadeh
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Lilja Øvrelid
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https://lipn.univ-paris13.fr/
http://saffron.insight-centre.org/
https://spacy.io/
https://stanfordnlp.github.io/
Field Of Study
Linguistic Trends
Embeddings
Typology
Task
Information Extraction
Information Retrieval
Relation Extraction
Approach
Deep Learning
Language
Multilingual
Japanese
French
Dataset
Scientific Literature
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