Alapan Kuila

According to our database, Alapan Kuila authored at least 9 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Deciphering Political Entity Sentiment in News with Large Language Models: Zero-Shot and Few-Shot Strategies.

Alapan Kuila, Sudeshna Sarkar

CoRR, 2024

Analyzing Sentiment Polarity Reduction in News Presentation through Contextual Perturbation and Large Language Models.

Alapan Kuila, Somnath Jena, Sudeshna Sarkar, Partha Pratim Chakrabarti

CoRR, 2024

From Text to Context: An Entailment Approach for News Stakeholder Classification.

Alapan Kuila, Sudeshna Sarkar

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

2022

'If you build they will come': Automatic Identification of News-Stakeholders to detect Party Preference in News Coverage.

Alapan Kuila, Sudeshna Sarkar

CoRR, 2022

PESE: Event Structure Extraction using Pointer Network based Encoder-Decoder Architecture.

Alapan Kuila, Sudeshna Sarkar

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

2018

A Neural Network based Event Extraction System for Indian Languages.

Alapan Kuila, Sarath chandra Bussa, Sudeshna Sarkar

Proceedings of the Working Notes of FIRE 2018, 2018

2017

An Event Extraction System via Neural Networks.

Alapan Kuila, Sudeshna Sarkar

Proceedings of the Working notes of FIRE 2017, 2017

2016

JU-USAAR: A Domain Adaptive MT System.

Koushik Pahari, Alapan Kuila, Santanu Pal, Sudip Kumar Naskar, Sivaji Bandyopadhyay, Josef van Genabith

Proceedings of the First Conference on Machine Translation, 2016

2014

A Hybrid Approach for Transliterated Word-Level Language Identification: CRF with Post-Processing Heuristics.

Somnath Banerjee, Alapan Kuila, Aniruddha Roy, Sudip Kumar Naskar, Paolo Rosso, Sivaji Bandyopadhyay

Proceedings of the Forum for Information Retrieval Evaluation, 2014