Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Classification | 3 |
| Natural Language Processing | 3 |
| Speech Communication | 3 |
| Computational Linguistics | 2 |
| Computer Software | 2 |
| Prediction | 2 |
| Scores | 2 |
| Suprasegmentals | 2 |
| Accuracy | 1 |
| Acoustics | 1 |
| Artificial Intelligence | 1 |
| More ▼ | |
Author
| Capello, Sarah | 1 |
| D'Mello, Sidney K. | 1 |
| Dale, Meghan | 1 |
| Donnelly, Patrick J. | 1 |
| Gloria Ashiya Katuka | 1 |
| Godley, Amanda | 1 |
| Kelly, Sean | 1 |
| Pon-Barry, Heather Roberta | 1 |
| Stone, Cathlyn | 1 |
Publication Type
| Dissertations/Theses -… | 2 |
| Reports - Research | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
Audience
Location
| Pennsylvania | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Gloria Ashiya Katuka – ProQuest LLC, 2024
Dialogue act (DA) classification plays an important role in understanding, interpreting and modeling dialogue. Dialogue acts (DAs) represent the intended meaning of an utterance, which is associated with the illocutionary force (or the speaker's intention), such as greetings, questions, requests, statements, and agreements. In natural language…
Descriptors: Dialogs (Language), Classification, Intention, Natural Language Processing
Stone, Cathlyn; Donnelly, Patrick J.; Dale, Meghan; Capello, Sarah; Kelly, Sean; Godley, Amanda; D'Mello, Sidney K. – International Educational Data Mining Society, 2019
We examine the ability of supervised text classification models to identify several discourse properties from teachers' speech with an eye for providing teachers with meaningful automated feedback about the quality of their classroom discourse. We collected audio recordings from 28 teachers from 10 schools in 164 authentic classroom sessions,…
Descriptors: Classification, Classroom Communication, Audio Equipment, Feedback (Response)
Pon-Barry, Heather Roberta – ProQuest LLC, 2013
The field of spoken language processing is concerned with creating computer programs that can understand human speech and produce human-like speech. Regarding the problem of understanding human speech, there is currently growing interest in moving beyond speech recognition (the task of transcribing the words in an audio stream) and towards…
Descriptors: Speech Communication, Inferences, Natural Language Processing, Psychological Patterns

Direct link
Peer reviewed
