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# Payal Khullar

4 paper cards in Mova's library · 2019–2021

Payal Khullar wrote 4 of the papers Mova reads, in 2019–2021, most of them on [Coreference resolution](https://md.mova.elamur.ai/free/en/docs/papers/topics/coreference-resolution/), [Treebanks](https://md.mova.elamur.ai/free/en/docs/papers/topics/treebanks/), [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/); often with [Manish Shrivastava](https://md.mova.elamur.ai/free/en/docs/papers/authors/manish-shrivastava/), Allen Antony, Arghya Bhattacharya.

[OpenAlex](https://openalex.org/A5006065835) · [**h-index 3**](https://openalex.org/authors/A5006065835) · [47 citations](https://openalex.org/authors/A5006065835) · [7 works](https://openalex.org/works?filter=author.id:A5006065835) — 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=Payal+Khullar) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Payal+Khullar) · [dblp](https://dblp.org/search?q=Payal+Khullar) · [ACL Anthology](https://aclanthology.org/search/?q=Payal+Khullar) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Payal+Khullar)

Topics: [Coreference resolution](https://md.mova.elamur.ai/free/en/docs/papers/topics/coreference-resolution/) 2 · [Treebanks](https://md.mova.elamur.ai/free/en/docs/papers/topics/treebanks/) 1 · [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/) 1

## Papers

1. **[Are Ellipses Important for Machine Translation?](https://md.mova.elamur.ai/free/en/docs/papers/cl-2021-khullar-are-ellipses-important-machine-translation/)** *(2021)* The paper tests how much ellipsis hurts neural machine translation, from English into Hindi and Telugu. It uses 1,500 sentences: 500 each of nominal, verbal and clausal ellipsis, taken from the Bos and Spenader VPE corpus, a curated ellipsis set and other annotated corpora. Each sentence is also given in a version…
2. **[Finding The Right One and Resolving it](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2020-khullar-finding-right-one-resolving-it/)** *(2020)* One-anaphora is the use of the word "one" or "ones" for a noun head, as in "the black one". The paper separates it from the determinative use of "one" as a numeral, a confusion that has weakened earlier computational work. The authors annotate one-anaphora with their antecedents in the British National Corpus and…
3. **[NoEl: An Annotated Corpus for Noun Ellipsis in English](https://md.mova.elamur.ai/free/en/docs/papers/gram-2020-khullar-noel-annotated-corpus-noun-ellipsis/)** *(2020)* The authors annotate the first 100 movies of the Cornell Movie Dialogs corpus, about 672,000 tokens, for noun ellipsis: a licensor (a cardinal, ordinal, possessive, determiner, quantifier or adjective) whose head noun is left out.
4. **[Using Syntax to Resolve NPE in English](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2019-khullar-syntax-resolve-npe-english/)** *(2019)* The paper describes a rule-based system for noun phrase ellipsis (NPE), where the head noun is omitted, as in "We are all partying at Mary's [e]".

## Co-authors (4)

- [Manish Shrivastava](https://md.mova.elamur.ai/free/en/docs/papers/authors/manish-shrivastava/) ×3
- Allen Antony
- Arghya Bhattacharya
- Kushal Majmundar
- [← previous Pavel Rychlý](https://md.mova.elamur.ai/free/en/docs/papers/authors/pavel-rychlu/)
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