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Multi-Task Learning of Keyphrase Boundary Classification
Isabelle Augenstein
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Anders Søgaard
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Paper Details:
Month: July
Year: 2017
Location: Vancouver, Canada
Venue:
ACL |
Citations
URL
Variational Sequential Labelers for Semi-Supervised Learning
Mingda Chen
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Qingming Tang
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Karen Livescu
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Kevin Gimpel
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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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A Supervised Approach to Extractive Summarisation of Scientific Papers
Ed Collins
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Isabelle Augenstein
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Sebastian Riedel
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Neural Machine Translation for Bilingually Scarce Scenarios: a Deep Multi-Task Learning Approach
Poorya Zaremoodi
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Gholamreza Haffari
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Multi-Task Learning for Argumentation Mining in Low-Resource Settings
Claudia Schulz
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Steffen Eger
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Johannes Daxenberger
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Tobias Kahse
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Iryna Gurevych
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SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications
Isabelle Augenstein
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Mrinal Das
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Sebastian Riedel
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Lakshmi Vikraman
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Andrew McCallum
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LABDA at SemEval-2017 Task 10: Extracting Keyphrases from Scientific Publications by combining the BANNER tool and the UMLS Semantic Network
Isabel Segura-Bedmar
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Cristóbal Colón-Ruiz
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Paloma Martínez
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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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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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https://doi.org/10.18653/v1/P17-2054
https://doi.org/10.18653/v1/P17-2054
http://ronan.collobert.com/senna/
http://nlp.stanford.edu/software/
https://github.com/clab/
Field Of Study
Linguistic Trends
Embeddings
Task
Tagging
Chunking
Semantic Parsing
Named Entity Recognition
Information Extraction
Language Generation
Machine Translation
Approach
Representation Learning
Semi-supervised Learning
Language
English
Dataset
Twitter
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