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cs.CL2024

Training LLMs to Recognize Hedges in Spontaneous Narratives

Amie J. Paige, Adil Soubki, John Murzaku +2

Hedges allow speakers to mark utterances as provisional, whether to signal non-prototypicality or "fuzziness", to indicate a lack of commitment to an utterance, to attribute respon…

cs.CL2024

Examining Gender and Power on Wikipedia Through Face and Politeness

Adil Soubki, Shyne Choi, Owen Rambow

We propose a framework for analyzing discourse by combining two interdependent concepts from sociolinguistic theory: face acts and politeness. While politeness has robust existing…

cs.CL2024

Multimodal Belief Prediction

John Murzaku, Adil Soubki, Owen Rambow

Recognizing a speaker's level of commitment to a belief is a difficult task; humans do not only interpret the meaning of the words in context, but also understand cues from intonat…

cs.CL2024

Intention and Face in Dialog

Adil Soubki, Owen Rambow

The notion of face described by Brown and Levinson (1987) has been studied in great detail, but a critical aspect of the framework, that which focuses on how intentions mediate the…

cs.CL2024

Views Are My Own, but Also Yours: Benchmarking Theory of Mind Using Common Ground

Adil Soubki, John Murzaku, Arash Yousefi Jordehi +4

Evaluating the theory of mind (ToM) capabilities of language models (LMs) has recently received a great deal of attention. However, many existing benchmarks rely on synthetic data,…

cs.CL2023

Finding Common Ground: Annotating and Predicting Common Ground in Spoken Conversations

Magdalena Markowska, Mohammad Taghizadeh, Adil Soubki +2

When we communicate with other humans, we do not simply generate a sequence of words. Rather, we use our cognitive state (beliefs, desires, intentions) and our model of the audienc…