Daniela Teodorescu — accepted AI-conference papers

2025

BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages

Shamsuddeen Hassan Muhammad, Nedjma Ousidhoum, Idris Abdulmumin, Jan Philip Wahle, Terry Ruas, Meriem Beloucif +42

ACL 2025long

People worldwide use language in subtle and complex ways to express emotions. Although emotion recognition–an umbrella term for several NLP tasks–impacts various applications within NLP and beyond, most work in this area has focused on high-resource languages. This has led to significant disparities…

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2024

Emotion Granularity from Text: An Aggregate-Level Indicator of Mental Health

Krishnapriya Vishnubhotla, Daniela Teodorescu, Mallory J Feldman, Kristen Lindquist, Saif M. Mohammad

EMNLP 2024main

We are united in how emotions are central to shaping our experiences; yet, individuals differ greatly in how we each identify, categorize, and express emotions. In psychology, variation in the ability of individuals to differentiate between emotion concepts is called emotion granularity (determined…

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2023

Evaluating Emotion Arcs Across Languages: Bridging the Global Divide in Sentiment Analysis

Daniela Teodorescu, Saif M. Mohammad

EMNLP 2023long findings

Emotion arcs capture how an individual (or a population) feels over time. They are widely used in industry and research; however, there is little work on evaluating the automatically generated arcs. This is because of the difficulty of establishing the true (gold) emotion arc. Our work, for the firs…

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2023

Language and Mental Health: Measures of Emotion Dynamics from Text as Linguistic Biosocial Markers

Daniela Teodorescu, Tiffany Cheng, Alona Fyshe, Saif M. Mohammad

EMNLP 2023long main

Research in psychopathology has shown that, at an aggregate level, the patterns of emotional change over time---emotion dynamics---are indicators of one's mental health. One's patterns of emotion change have traditionally been determined through self-reports of emotions; however, there are known iss…

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2022

Cree Corpus: A Collection of nêhiyawêwin Resources

Daniela Teodorescu, Josie Matalski, Delaney Lothian, Denilson Barbosa, Carrie Demmans Epp

ACL 2022long

Plains Cree (nêhiyawêwin) is an Indigenous language that is spoken in Canada and the USA. It is the most widely spoken dialect of Cree and a morphologically complex language that is polysynthetic, highly inflective, and agglutinative. It is an extremely low resource language, with no existing corpus…

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