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# Daniel Jurafsky

3 paper cards in Mova's library · 2000–2002

Daniel Jurafsky wrote 3 of the papers Mova reads, in 2000–2002, most of them on [Speech act theory](https://md.mova.elamur.ai/free/en/docs/papers/topics/speech-act-theory/), [Semantic role labeling](https://md.mova.elamur.ai/free/en/docs/papers/topics/semantic-role-labeling/); often with Andreas Stolcke, Carol Van Ess-Dykema, [Daniel Gildea](https://md.mova.elamur.ai/free/en/docs/papers/authors/daniel-gildea/).

[OpenAlex](https://openalex.org/A5036266399) · [**h-index 52**](https://openalex.org/authors/A5036266399) · [19366 citations](https://openalex.org/authors/A5036266399) · [161 works](https://openalex.org/works?filter=author.id:A5036266399) — openalex, 2026-10-18

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Daniel+Jurafsky) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Daniel+Jurafsky) · [dblp](https://dblp.org/search?q=Daniel+Jurafsky) · [ACL Anthology](https://aclanthology.org/search/?q=Daniel+Jurafsky) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Daniel+Jurafsky)

Topics: [Speech act theory](https://md.mova.elamur.ai/free/en/docs/papers/topics/speech-act-theory/) 1 · [Semantic role labeling](https://md.mova.elamur.ai/free/en/docs/papers/topics/semantic-role-labeling/) 1

## Papers

1. **[Automatic Labeling of Semantic Roles](https://md.mova.elamur.ai/free/en/docs/papers/gildea-2002-automatic-labeling-semantic-roles/)** *(2002)* The first statistical system for labeling semantic roles with FrameNet frame elements (Agent, Patient, Speaker, Topic and others).
2. **[Knowledge-Free Induction of Inflectional Morphologies](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2001-schone-knowledge-free-induction-inflectional-morphologies/)** *(2001)* The paper induces the morphology of an inflectional language from raw text, with no human input. The algorithm combines three cues: orthography, semantics, and syntactic distributions. Its output is a set of conflation sets, groups of the inflected and derived forms of one word. The method is applied to German, Dutch…
3. **[Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech](https://md.mova.elamur.ai/free/en/docs/papers/prag-2000-stolcke-dialogue-act-modeling-automatic-tagging/)** *(2000)* The paper labels each utterance of spontaneous telephone speech with one of 42 dialogue acts (statement, opinion, yes-no question, backchannel, agreement, answer and others), and asks how much the order of the acts helps.

## Co-authors (11)

- Andreas Stolcke
- Carol Van Ess-Dykema
- [Daniel Gildea](https://md.mova.elamur.ai/free/en/docs/papers/authors/daniel-gildea/)
- Elizabeth Shriberg
- Klaus Ries
- Marie Meteer
- Noah Coccaro
- Patrick Schone
- Paul Taylor
- Rachel Martin
- Rebecca Bates
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