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# Lillian Lee

3 paper cards in Mova's library · 2003–2021

Lillian Lee wrote 3 of the papers Mova reads, in 2003–2021, most of them on [Dependency parsing](https://md.mova.elamur.ai/free/en/docs/papers/topics/dependency-parsing/), [Part-of-speech tagging](https://md.mova.elamur.ai/free/en/docs/papers/topics/part-of-speech-tagging/), [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/); often with [Tianze Shi](https://md.mova.elamur.ai/free/en/docs/papers/authors/tianze-shi/), [Regina Barzilay](https://md.mova.elamur.ai/free/en/docs/papers/authors/regina-barzilay/).

[OpenAlex](https://openalex.org/A5076876084) · [ORCID](https://orcid.org/0000-0003-4770-1712) · [**h-index 48**](https://openalex.org/authors/A5076876084) · [38156 citations](https://openalex.org/authors/A5076876084) · [189 works](https://openalex.org/works?filter=author.id:A5076876084) — 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=Lillian+Lee) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Lillian+Lee) · [dblp](https://dblp.org/search?q=Lillian+Lee) · [ACL Anthology](https://aclanthology.org/search/?q=Lillian+Lee) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Lillian+Lee)

Topics: [Dependency parsing](https://md.mova.elamur.ai/free/en/docs/papers/topics/dependency-parsing/) 2 · [Part-of-speech tagging](https://md.mova.elamur.ai/free/en/docs/papers/topics/part-of-speech-tagging/) 1 · [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/) 1

## Ideas Mova took (1)

From the ideas ledger: an idea tried, kept or queued, or measured with no gain, and what it gave.

- **tried** — Align all English renderings of one verse across the translations in the same way. The shared backbone is the frame-preserving part of the verse, and the slots are the author delta. A slot filled in three or more translations goes to the standard; a slot… *([Learning to Paraphrase: An Unsupervised Approach Using…](https://md.mova.elamur.ai/free/en/docs/papers/barzilay-2003-learning-paraphrase-unsupervised-approach-multiple/) · translate r6-lattice: the four Bibles' renderings of each training verse aligned (LCS of concepts); the standard learned on the shared backbone only (1.20 M…)*

## Papers

1. **[Transition-based Bubble Parsing: Improvements on Coordination Structure Prediction](https://md.mova.elamur.ai/free/en/docs/papers/shi-2021-transition-based-bubble-parsing-improvements/)** *(2021)* Standard dependency trees give coordination an awkward shape: one conjunct must be the head, and a shared modifier ("hot" in "hot coffee or tea and a bun") cannot be told apart from a private one.
2. **[Extracting Headless MWEs from Dependency Parse Trees: Parsing, Tagging, and Joint Modeling Approaches](https://md.mova.elamur.ai/free/en/docs/papers/acl-2020-shi-extracting-headless-mwes-dependency-parse/)** *(2020)* A headless multi-word expression, such as "Wells Fargo" or "day after day", has no internal head, yet dependency schemes force a head on it.
3. **[Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment](https://md.mova.elamur.ai/free/en/docs/papers/barzilay-2003-learning-paraphrase-unsupervised-approach-multiple/)** *(2003)* The paper addresses sentence-level paraphrase, which is harder than word or phrase paraphrase, using comparable news corpora: different sources reporting the same events.

## Co-authors (2)

- [Tianze Shi](https://md.mova.elamur.ai/free/en/docs/papers/authors/tianze-shi/) ×2
- [Regina Barzilay](https://md.mova.elamur.ai/free/en/docs/papers/authors/regina-barzilay/)
- [← previous Liang Huang](https://md.mova.elamur.ai/free/en/docs/papers/authors/liang-huang/)
- [next → Linfeng Song](https://md.mova.elamur.ai/free/en/docs/papers/authors/linfeng-song/)
- [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)
