Search Results for author: Elsbeth Turcan

Found 10 papers, 3 papers with code

MASIVE: Open-Ended Affective State Identification in English and Spanish

1 code implementation16 Jul 2024 Nicholas Deas, Elsbeth Turcan, Iván Pérez Mejía, Kathleen McKeown

In the field of emotion analysis, much NLP research focuses on identifying a limited number of discrete emotion categories, often applied across languages.

Emotion Recognition Machine Translation +1

Evaluating the Effectiveness of Data Augmentation for Emotion Classification in Low-Resource Settings

no code implementations7 Jun 2024 Aashish Arora, Elsbeth Turcan

Data augmentation has the potential to improve the performance of machine learning models by increasing the amount of training data available.

Data Augmentation Emotion Classification +1

Evaluation of African American Language Bias in Natural Language Generation

no code implementations23 May 2023 Nicholas Deas, Jessi Grieser, Shana Kleiner, Desmond Patton, Elsbeth Turcan, Kathleen McKeown

We evaluate how well LLMs understand African American Language (AAL) in comparison to their performance on White Mainstream English (WME), the encouraged "standard" form of English taught in American classrooms.

Text Generation

Emotion-Infused Models for Explainable Psychological Stress Detection

1 code implementation NAACL 2021 Elsbeth Turcan, Smaranda Muresan, Kathleen McKeown

The problem of detecting psychological stress in online posts, and more broadly, of detecting people in distress or in need of help, is a sensitive application for which the ability to interpret models is vital.

Language Modeling Language Modelling +1

Segmenting Subtitles for Correcting ASR Segmentation Errors

no code implementations EACL 2021 David Wan, Chris Kedzie, Faisal Ladhak, Elsbeth Turcan, Petra Galuščáková, Elena Zotkina, Zhengping Jiang, Peter Bell, Kathleen McKeown

Typical ASR systems segment the input audio into utterances using purely acoustic information, which may not resemble the sentence-like units that are expected by conventional machine translation (MT) systems for Spoken Language Translation.

Information Retrieval Machine Translation +4

Cannot find the paper you are looking for? You can Submit a new open access paper.