3 papers
cs.CL2025
Evaluating Compositional Approaches for Focus and Sentiment Analysis
Olga Kellert, Muhammad Imran, Nicholas Hill Matlis +2
This paper summarizes the results of evaluating a compositional approach for Focus Analysis (FA) in Linguistics and Sentiment Analysis (SA) in Natural Language Processing (NLP). Wh…
cs.CL2025
Parsing the Switch: LLM-Based UD Annotation for Complex Code-Switched and Low-Resource Languages
Olga Kellert, Nemika Tyagi, Muhammad Imran +2
Code-switching presents a complex challenge for syntactic analysis, especially in low-resource language settings where annotated data is scarce. While recent work has explored the…
cs.CL2024
Dancing in the syntax forest: fast, accurate and explainable sentiment analysis with SALSA
Carlos Gómez-Rodríguez, Muhammad Imran, David Vilares +2
Sentiment analysis is a key technology for companies and institutions to gauge public opinion on products, services or events. However, for large-scale sentiment analysis to be acc…