Work

CENTAL at SemEval-2016 Task 12: a linguistically fed CRF model for medical and temporal information extraction

Year: 2016

Type: conference-paper

Abstract: In this paper, we describe the system developed for our participation in the Clinical TempEval task of SemEval 2016 (task 12). Our team focused on the subtasks of span and attribute identification from raw text and proposed a system that integrates both statistical and linguistic approaches. Our system is based on Conditional Random Fields with high-precision linguistic features.

Source: International Workshop on Semantic Evaluation (SemEval)

DOI: 10.18653/v1/s16-1200

Authors: Charlotte Hansart, Damien De Meyere, Patrick Watrin, André Bittar, Cédrick Fairon

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: hybrid

OpenAlex ID: W2467000763

FWCI: 6.672

Cites: 6

Cited by: 6

Related to: 10