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SemEval-2018 Task 7: Semantic Relation Extraction and Classification in Scientific Papers

2018-06-01 · SEMEVAL 2018 6 · Kata G{\'a}bor, Davide Buscaldi, Anne-Kathrin Schumann, Behrang Qasemizadeh, Ha{\"\i}fa Zargayouna, Thierry Charnois

This paper describes the first task on semantic relation extraction and classification in scientific paper abstracts at SemEval 2018. The challenge focuses on domain-specific semantic relations and includes three different subtasks. The subtasks were designed so as to compare and quantify the effect of different pre-processing steps on the relation classification results. We expect the task to be relevant for a broad range of researchers working on extracting specialized knowledge from domain corpora, for example but not limited to scientific or bio-medical information extraction. The task attracted a total of 32 participants, with 158 submissions across different scenarios.

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Classification General Classification Keyword ExtractionRelationRelation Classification Relation Extraction

The UWNLP system at SemEval-2018 Task 7: Neural Relation Extraction Model with Selectively Incorporated Concept Embeddings

2018-06-01 · SEMEVAL 2018 6 · Yi Luan, Mari Ostendorf, Hannaneh Hajishirzi

This paper describes our submission for SemEval 2018 Task 7 shared task on semantic relation extraction and classification in scientific papers. Our model is based on the end-to-end relation extraction model of (Miwa and…

Classification General Classification Relation Relation Classification+2

Bf3R at SemEval-2018 Task 7: Evaluating Two Relation Extraction Tools for Finding Semantic Relations in Biomedical Abstracts

2018-06-01 · SEMEVAL 2018 6 · Mariana Neves, Daniel Butzke, Gilbert Sch{\"o}nfelder, Barbara Grune

Automatic extraction of semantic relations from text can support finding relevant information from scientific publications. We describe our participation in Task 7 of SemEval-2018 for which we experimented with two relat…

Information Retrieval Relation Extraction

SIRIUS-LTG-UiO at SemEval-2018 Task 7: Convolutional Neural Networks with Shortest Dependency Paths for Semantic Relation Extraction and Classification in Scientific Papers

2018-04-24 · SEMEVAL 2018 6 · Farhad Nooralahzadeh, Lilja Øvrelid, Jan Tore Lønning

This article presents the SIRIUS-LTG-UiO system for the SemEval 2018 Task 7 on Semantic Relation Extraction and Classification in Scientific Papers. First we extract the shortest dependency path (sdp) between two entitie…

Classification General Classification Relation Relation Classification+1

SciREL at SemEval-2018 Task 7: A System for Semantic Relation Extraction and Classification

2018-06-01 · SEMEVAL 2018 6 · Darshini Mahendran, Chathurika Brahmana, Bridget McInnes

This paper describes our system, SciREL (Scientific abstract RELation extraction system), developed for the SemEval 2018 Task 7: Semantic Relation Extraction and Classification in Scientific Papers. We present a feature-…

Feature Engineering General Classification Relation Relation Classification+1

Scientific Relation Extraction with Selectively Incorporated Concept Embeddings

2018-08-26 · Yi Luan, Mari Ostendorf, Hannaneh Hajishirzi

This paper describes our submission for the SemEval 2018 Task 7 shared task on semantic relation extraction and classification in scientific papers. We extend the end-to-end relation extraction model of (Miwa and Bansal)…