collaborators

6 papers

cs.CL2026

Lost in Speech: Benchmarking, Evaluation, and Parsing of Spoken Bilingual Conversational Language Beyond Standard UD Assumptions

Nemika Tyagi, Olga Kellert, Holly Hendrix +7

Spoken bilingual conversations pose substantial challenges for syntactic parsing because they often include disfluencies and discourse-driven structures that complicate dependency…

cs.CL2026

Structured Disagreement in Health-Literacy Annotation: Epistemic Stability, Conceptual Difficulty, and Agreement-Stratified Inference

Olga Kellert, Sriya Kondury, Candice Koo +2

Annotation pipelines in Natural Language Processing (NLP) commonly assume a single latent ground truth per instance and resolve disagreement through label aggregation. Perspectivis…

cs.CL2026

A Syntax-Injected Approach for Faster and More Accurate Sentiment Analysis

Muhammad Imran, Olga Kellert, Carlos Gómez-Rodríguez

Sentiment Analysis (SA) is a crucial aspect of Natural Language Processing (NLP), focusing on identifying and interpreting subjective assessments in textual content. Syntactic pars…

cs.CL2025

Modeling Topics and Sociolinguistic Variation in Code-Switched Discourse: Insights from Spanish-English and Spanish-Guaraní

Nemika Tyagi, Nelvin Licona Guevara, Olga Kellert

This study presents an LLM-assisted annotation pipeline for the sociolinguistic and topical analysis of bilingual discourse in two typologically distinct contexts: Spanish-English…

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…