2 citations · 4 across the 10 of their papers we have counts for
11 papers · 1 filter
SLA-LENS: From Classroom Transcripts to CSLA-Informed and Evidence-Linked L2 Interaction Analytics
Nemika Tyagi, Olga Kellert, Phanos Kareen +1
What happens after a learner makes an error, and how does the instructor's response shape the next turn? Investigating these exchanges across classrooms requires context-sensitive…
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…
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…
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…
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…
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…
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…
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…
Unveiling factors influencing judgment variation in Sentiment Analysis with Natural Language Processing and Statistics
Olga Kellert, Carlos Gómez-Rodríguez, Mahmud Uz Zaman
TripAdvisor reviews and comparable data sources play an important role in many tasks in Natural Language Processing (NLP), providing a data basis for the identification and classif…
Experimenting with UD Adaptation of an Unsupervised Rule-based Approach for Sentiment Analysis of Mexican Tourist Texts
Olga Kellert, Mahmud Uz Zaman, Nicholas Hill Matlis +1
This paper summarizes the results of experimenting with Universal Dependencies (UD) adaptation of an Unsupervised, Compositional and Recursive (UCR) rule-based approach for Sentime…
Geolocation differences of language use in urban areas
Olga Kellert, Nicholas H. Matlis
The explosion in the availability of natural language data in the era of social media has given rise to a host of applications such as sentiment analysis and opinion mining. Simult…