SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications

Isabelle Augenstein; Mrinal Das; Sebastian Riedel; Lakshmi Vikraman; Andrew McCallum

SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications

Isabelle Augenstein, Mrinal Das, Sebastian Riedel, Lakshmi Vikraman, Andrew McCallum

University College London, Big Data Institute

Research output: Contribution to journal › Article › peer-review

Abstract

We describe the SemEval task of extracting keyphrases and relations between them from scientific documents, which is crucial for understanding which publications describe which processes, tasks and materials. Although this was a new task, we had a total of 26 submissions across 3 evaluation scenarios. We expect the task and the findings reported in this paper to be relevant for researchers working on understanding scientific content, as well as the broader knowledge base population and information extraction communities.

Original language	American English
Journal	ARXIV
State	Published - 2017

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https://arxiv.org/abs/1704.02853

Investigation of Relationships between Researchers with University College London
Augenstein, I. (CoI), Maynard, D. (CoI), Montcheva, K. (CoI) & Hobby, M. (CoI)
06/1/14 → 05/31/17
Project: Research

Cite this

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title = "SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications",

abstract = "We describe the SemEval task of extracting keyphrases and relations between them from scientific documents, which is crucial for understanding which publications describe which processes, tasks and materials. Although this was a new task, we had a total of 26 submissions across 3 evaluation scenarios. We expect the task and the findings reported in this paper to be relevant for researchers working on understanding scientific content, as well as the broader knowledge base population and information extraction communities.",

author = "Isabelle Augenstein and Mrinal Das and Sebastian Riedel and Lakshmi Vikraman and Andrew McCallum",

year = "2017",

language = "American English",

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TY - JOUR

T1 - SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications

AU - Augenstein, Isabelle

AU - Das, Mrinal

AU - Riedel, Sebastian

AU - Vikraman, Lakshmi

AU - McCallum, Andrew

PY - 2017

Y1 - 2017

N2 - We describe the SemEval task of extracting keyphrases and relations between them from scientific documents, which is crucial for understanding which publications describe which processes, tasks and materials. Although this was a new task, we had a total of 26 submissions across 3 evaluation scenarios. We expect the task and the findings reported in this paper to be relevant for researchers working on understanding scientific content, as well as the broader knowledge base population and information extraction communities.

AB - We describe the SemEval task of extracting keyphrases and relations between them from scientific documents, which is crucial for understanding which publications describe which processes, tasks and materials. Although this was a new task, we had a total of 26 submissions across 3 evaluation scenarios. We expect the task and the findings reported in this paper to be relevant for researchers working on understanding scientific content, as well as the broader knowledge base population and information extraction communities.

M3 - Article

JO - ARXIV

JF - ARXIV

ER -

SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications

Abstract

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Projects

Investigation of Relationships between Researchers with University College London

Cite this