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# Julia Hirschberg

4 paper cards in Mova's library · 2018–2026

Julia Hirschberg wrote 4 of the papers Mova reads, in 2018–2026, most of them on [Speech act theory](https://md.mova.elamur.ai/free/en/docs/papers/topics/speech-act-theory/), [Word sense disambiguation](https://md.mova.elamur.ai/free/en/docs/papers/topics/word-sense-disambiguation/); often with [Morgan Ulinski](https://md.mova.elamur.ai/free/en/docs/papers/authors/morgan-ulinski/), Anat Lerner, Andreas Weise.

[OpenAlex](https://openalex.org/A5045037642) · [ORCID](https://orcid.org/0000-0003-0689-7616) · [**h-index 68**](https://openalex.org/authors/A5045037642) · [21992 citations](https://openalex.org/authors/A5045037642) · [496 works](https://openalex.org/works?filter=author.id:A5045037642) — 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=Julia+Hirschberg) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Julia+Hirschberg) · [dblp](https://dblp.org/search?q=Julia+Hirschberg) · [ACL Anthology](https://aclanthology.org/search/?q=Julia+Hirschberg) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Julia+Hirschberg)

Topics: [Speech act theory](https://md.mova.elamur.ai/free/en/docs/papers/topics/speech-act-theory/) 1 · [Word sense disambiguation](https://md.mova.elamur.ai/free/en/docs/papers/topics/word-sense-disambiguation/) 1

## Papers

1. **[Completing and Validating the Re-Aligned Switchboard Dialog Act Corpus](https://md.mova.elamur.ai/free/en/docs/papers/chen-2026-completing-validating-re-aligned-switchboard/)** *(2026)* The Switchboard Dialog Act corpus (1,155 phone conversations, ~205K utterances, 42 SWBD-DAMSL tags) had speech and text so badly aligned that prosody was useless for tagging.
2. **["Talk to me with left, right, and angles": Lexical entrainment in spoken Hebrew dialogue](https://md.mova.elamur.ai/free/en/docs/papers/eacl-2021-weise-talk-me-left-right-angles/)** *(2021)* The question is whether Hebrew speakers adapt their word choice to each other in a Map Task, as English speakers do.
3. **[Crowdsourced Hedge Term Disambiguation](https://md.mova.elamur.ai/free/en/docs/papers/ulinski-2019-crowdsourced-hedge-term-disambiguation/)** *(2019)* Hedge annotation is costly when experts do it, so the authors turn it into word sense disambiguation that crowd workers can do.
4. **[Using Hedge Detection to Improve Committed Belief Tagging](https://md.mova.elamur.ai/free/en/docs/papers/ulinski-2018-hedge-detection-improve-committed-belief/)** *(2018)* The paper adds hedge features to a committed-belief tagger. The tagger marks each proposition head as committed belief (CB), non-committed belief (NCB), reported belief (ROB) or non-belief (NA: desire, intention, question). Hedges are found from a 117-term dictionary in two ways: plain lemma lookup, or hand rules…

## Co-authors (12)

- [Morgan Ulinski](https://md.mova.elamur.ai/free/en/docs/papers/authors/morgan-ulinski/) ×2
- Anat Lerner
- Andreas Weise
- Ignazio LaManna
- John Prado
- Mim Datta
- Rivka Levitan
- Run Chen
- Ryan Puterbaugh
- Seth Benjamin
- Vered Silber-Varod
- Zihao Tao
- [← previous Julia Bonn](https://md.mova.elamur.ai/free/en/docs/papers/authors/julia-bonn/)
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