Work

ITTC at SemEval 2023-Task 7: Document Retrieval and Sentence Similarity for Evidence Retrieval in Clinical Trial Data

Year: 2023

Type: conference-paper

Abstract: This paper describes the submissions of the Natural Language Processing (NLP) team from the Australian Research Council Industrial Transformation Training Centre (ITTC) for Cognitive Computing in Medical Technologies to the SemEval 2023 Task 7, i.e., multi-evidence natural language inference for clinical trial data (NLI4CT).More specifically, we were working on subtask 2 whose objective is to identify the relevant parts of the premise from clinical trial report that justify the truth of information in the statement.We approach the evidence retrieval problem as a document retrieval and sentence similarity task.Our results show that the task poses some challenges which involve dealing with complex sentences and implicit evidences.

Source: International Workshop on Semantic Evaluation (SemEval)

DOI: 10.18653/v1/2023.semeval-1.316

Authors: Rahmad Mahendra, Damiano Spina, Karin Verspoor

Institution: RMIT University

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: Australian Research Council

Award: ARC Training Centre in Cognitive Computing for Medical Technologies