Work

Overview of the shared task on code-mixed information retrieval from social media data

Year: 2024

Type: conference-paper

Abstract: The rise of multilingual communication on social media platforms such as Facebook, Twitter, and WhatsApp presents a compelling challenge for information retrieval in code-mixed contexts within natural language processing.This paper provides an overview of the Code-Mixed Information Retrieval Shared Task, which is part of the FIRE-2024 conference.The main focus of this experiment was the evaluation of how relevant documents code-mixed from a corpus of Bengali-English comments were to be given for a set of code-mixed queries.Six teams showed interest in participating in the shared task; two teams provided their runs.This article describes the models used by the competing teams and their performance evaluated on the Mean Average Precision (MAP), a significant metric used for information retrieval tasks.

Source: Annual Meeting of the Forum for Information Retrieval Evaluation (FIRE)

DOI: 10.1145/3734947.3735670

Authors: Supriya Chanda, Sukomal Pal

Institution: Indian Institute of Technology BHU

Language: English

Topic: Information Retrieval and Search Behavior

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: Indian Institute of Science Education and Research Mohali, Indian Institute of Science Education and Research Kolkata

OpenAlex ID: W4412638213

FWCI: 0.401

Cites: 2

Cited by: 1

Related to: 10