Towards explainable evaluation metrics for machine translation

C Leiter, P Lertvittayakumjorn, M Fomicheva… - Journal of Machine …, 2024 - jmlr.org
Unlike classical lexical overlap metrics such as BLEU, most current evaluation metrics for
machine translation (for example, COMET or BERTScore) are based on black-box large …

[PDF][PDF] Text speaks louder: Insights into personality from natural language processing

D Saeteros, D Gallardo-Pujol, D Ortiz-Martınez - 2024 - researchgate.net
In recent years, advancements in natural language processing (NLP) have enabled new
approaches to personality assessment. This article presents an interdisciplinary …

Explainability of Text Processing and Retrieval Methods

A Anand, S Saha, P Sen, M Mitra - … of the 15th Annual Meeting of the …, 2023 - dl.acm.org
This tutorial presents explainability of text processing and retrieval methods, an emerging
area focused on fostering responsible and trustworthy deployment of machine learning …

ir_explain: a Python Library of Explainable IR Methods

S Saha, H Agarwal, S Mohanty, M Mitra… - arXiv preprint arXiv …, 2024 - arxiv.org
While recent advancements in Neural Ranking Models have resulted in significant
improvements over traditional statistical retrieval models, it is generally acknowledged that …

Unified Framework for Pointwise Explainable Information Retrieval

H Agarwal - 2024 - dspace.isical.ac.in
As Machine Learning (ML) models become increasingly sophisticated and opaque, the
necessity for explainability to ensure transparency and accountability in their applications …