Search Results - "Dinkar, Tanvi"

Studying Alignment in a Collaborative Learning Activity via Automatic Methods: The Link Between What We Say and Do by Norman, Utku, Dinkar, Tanvi, Bruno, Barbara, Clavel, Chloé

“…A dialogue is successful when there is alignment between the speakers, at different linguistic levels. In this work, we consider the dialogue occurring between…”
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How confident are you? Exploring the role of fillers in the automatic prediction of a speaker's confidence by Dinkar, Tanvi, Vasilescu, Ioana, Pelachaud, Catherine, Clavel, Chloe

“…"Fillers", example "um" in English, have been linked to the "Feeling of Another's Knowing (FOAK)" or the listener's perception of a speaker's expressed…”
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Re-examining Sexism and Misogyny Classification with Annotator Attitudes by Jiang, Aiqi, Vitsakis, Nikolas, Dinkar, Tanvi, Abercrombie, Gavin, Konstas, Ioannis

“…Gender-Based Violence (GBV) is an increasing problem online, but existing datasets fail to capture the plurality of possible annotator perspectives or ensure…”
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Fillers in Spoken Language Understanding: Computational and Psycholinguistic Perspectives by Dinkar, Tanvi, Clavel, Chloé, Vasilescu, Ioana

“…Disfluencies (i.e. interruptions in the regular flow of speech), are ubiquitous to spoken discourse. Fillers ("uh", "um") are disfluencies that occur the most…”
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FurNav: Development and Preliminary Study of a Robot Direction Giver by Wilson, Bruce W, Schlosser, Yann, Tarkany, Rayane, Moujahid, Meriam, Nesset, Birthe, Dinkar, Tanvi, Rieser, Verena

“…When giving directions to a lost-looking tourist, would you first reference the street-names, cardinal directions, landmarks, or simply tell them to walk five…”
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Mirages: On Anthropomorphism in Dialogue Systems by Abercrombie, Gavin, Curry, Amanda Cercas, Dinkar, Tanvi, Rieser, Verena, Talat, Zeerak

“…Automated dialogue or conversational systems are anthropomorphised by developers and personified by users. While a degree of anthropomorphism may be inevitable…”
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iLab at SemEval-2023 Task 11 Le-Wi-Di: Modelling Disagreement or Modelling Perspectives? by Vitsakis, Nikolas, Parekh, Amit, Dinkar, Tanvi, Abercrombie, Gavin, Konstas, Ioannis, Rieser, Verena

“…There are two competing approaches for modelling annotator disagreement: distributional soft-labelling approaches (which aim to capture the level of…”
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NLP Verification: Towards a General Methodology for Certifying Robustness by Casadio, Marco, Dinkar, Tanvi, Komendantskaya, Ekaterina, Arnaboldi, Luca, Daggitt, Matthew L, Isac, Omri, Katz, Guy, Rieser, Verena, Lemon, Oliver

“…Deep neural networks have exhibited substantial success in the field of Natural Language Processing and ensuring their safety and reliability is crucial: there…”
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Studying Alignment in a Collaborative Learning Activity via Automatic Methods: The Link Between What We Say and Do by Norman, Utku, Dinkar, Tanvi, Bruno, Barbara, Clavel, Chloé

“…A dialogue is successful when there is alignment between the speakers at different linguistic levels. In this work, we consider the dialogue occurring between…”
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ANTONIO: Towards a Systematic Method of Generating NLP Benchmarks for Verification by Casadio, Marco, Arnaboldi, Luca, Daggitt, Matthew L, Isac, Omri, Dinkar, Tanvi, Kienitz, Daniel, Rieser, Verena, Komendantskaya, Ekaterina

“…Verification of machine learning models used in Natural Language Processing (NLP) is known to be a hard problem. In particular, many known neural network…”
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The importance of fillers for text representations of speech transcripts by Dinkar, Tanvi, Colombo, Pierre, Labeau, Matthieu, Clavel, Chloé

“…While being an essential component of spoken language, fillers (e.g."um" or "uh") often remain overlooked in Spoken Language Understanding (SLU) tasks. We…”
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FurChat: An Embodied Conversational Agent using LLMs, Combining Open and Closed-Domain Dialogue with Facial Expressions by Cherakara, Neeraj, Varghese, Finny, Shabana, Sheena, Nelson, Nivan, Karukayil, Abhiram, Kulothungan, Rohith, Farhan, Mohammed Afil, Nesset, Birthe, Moujahid, Meriam, Dinkar, Tanvi, Rieser, Verena, Lemon, Oliver

“…We demonstrate an embodied conversational agent that can function as a receptionist and generate a mixture of open and closed-domain dialogue along with facial…”
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Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP by Belz, Anya, Thomson, Craig, Reiter, Ehud, Abercrombie, Gavin, Alonso-Moral, Jose M, Arvan, Mohammad, Braggaar, Anouck, Cieliebak, Mark, Clark, Elizabeth, van Deemter, Kees, Dinkar, Tanvi, Dušek, Ondřej, Eger, Steffen, Fang, Qixiang, Gao, Mingqi, Gatt, Albert, Gkatzia, Dimitra, González-Corbelle, Javier, Hovy, Dirk, Hürlimann, Manuela, Ito, Takumi, Kelleher, John D, Klubicka, Filip, Krahmer, Emiel, Lai, Huiyuan, van der Lee, Chris, Li, Yiru, Mahamood, Saad, Mieskes, Margot, van Miltenburg, Emiel, Mosteiro, Pablo, Nissim, Malvina, Parde, Natalie, Plátek, Ondřej, Rieser, Verena, Ruan, Jie, Tetreault, Joel, Toral, Antonio, Wan, Xiaojun, Wanner, Leo, Watson, Lewis, Yang, Diyi

“…We report our efforts in identifying a set of previous human evaluations in NLP that would be suitable for a coordinated study examining what makes human…”
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