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Bradford Mott

Bradford Mott has 2 papers in our library, in 2023–2024, most of them on Speech act theory, Dialogue systems; often with James C. Lester, Jonathan Rowe, Snigdha Chaturvedi.

2 papers in our library · 2023–2024

OpenAlex · ORCID · Wikidata · h-index 34 · 286 works · 4,323 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 3 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #10021

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓North Carolina State UniversityRaleigh · United States1999–2026 · 231 papersEducationEmployment since 2012 · Senior Research Scientist, Computer Sciencecurrent🎓Indiana UniversityBloomington · United States2023–2024 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Dialogue systems · 2 worksSpeech act theory · 2 works

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Dual Process Masking for Dialogue Act Recognition (2024 · 6 citations)
    The paper addresses dialogue act recognition: labelling each utterance in a conversation with its communicative function.
  2. Improving Classroom Dialogue Act Recognition from Limited Labeled Data with Self-Supervised Contrastive Learning Classifiers (2023 · 3 citations)
    Labeled K-12 classroom dialogue is scarce. Privacy rules limit sharing, research groups each use their own coding schemes, and classroom talk is tied to the subject being taught. Kumaran et al. therefore address dialogue act recognition when only a handful of annotated utterances per class exist. Their system, SSCon…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Goal Recognition with Markov Logic Networks for Player-Adaptive Games ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetEun Young Ha et al.51 citations
  2. Dual Process Masking for Dialogue Act RecognitionFindings of the Association for Computational LinguisticsYeo Jin Kim, Halim Acosta, Wookhee Min, et al.2024 · 6 citations
  3. Improving Classroom Dialogue Act Recognition from Limited Labeled Data with Self-Supervised Contrastive Learning ClassifiersFindings of the Association for Computational LinguisticsVikram Kumaran, Jonathan Rowe, Bradford Mott, et al.2023 · 3 citations

 Co-authors here

3 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated

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