no code implementations • COLING 2022 • Elsbeth Turcan, David Wan, Faisal Ladhak, Petra Galuscakova, Sukanta Sen, Svetlana Tchistiakova, Weijia Xu, Marine Carpuat, Kenneth Heafield, Douglas Oard, Kathleen McKeown
Query-focused summaries of foreign-language, retrieved documents can help a user understand whether a document is actually relevant to the query term.
1 code implementation • 16 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.
no code implementations • 7 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.
no code implementations • 23 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.
no code implementations • Findings (ACL) 2021 • Elsbeth Turcan, Shuai Wang, Rishita Anubhai, Kasturi Bhattacharjee, Yaser Al-Onaizan, Smaranda Muresan
Detecting what emotions are expressed in text is a well-studied problem in natural language processing.
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.
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.
no code implementations • 19 Oct 2020 • David Wan, Zhengping Jiang, Chris Kedzie, Elsbeth Turcan, Peter Bell, Kathleen McKeown
In this work, we focus on improving ASR output segmentation in the context of low-resource language speech-to-text translation.
no code implementations • LREC 2020 • David Wan, Zhengping Jiang, Chris Kedzie, Elsbeth Turcan, Peter Bell, Kathy Mckeown
In this work, we focus on improving ASR output segmentation in the context of low-resource language speech-to-text translation.
1 code implementation • WS 2019 • Elsbeth Turcan, Kathleen McKeown
Stress is a nigh-universal human experience, particularly in the online world.