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# Shashi Narayan

2 paper cards in Mova's library · 2016–2017

Shashi Narayan wrote 2 of the papers Mova reads, in 2016–2017, most of them on [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/); often with [Claire Gardent](https://md.mova.elamur.ai/free/en/docs/papers/authors/claire-gardent/), [Anastasia Shimorina](https://md.mova.elamur.ai/free/en/docs/papers/authors/anastasia-shimorina/), Laura Perez-Beltrachini.

[OpenAlex](https://openalex.org/A5081801388) · [**h-index 27**](https://openalex.org/authors/A5081801388) · [6537 citations](https://openalex.org/authors/A5081801388) · [107 works](https://openalex.org/works?filter=author.id:A5081801388) — 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=Shashi+Narayan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shashi+Narayan) · [dblp](https://dblp.org/search?q=Shashi+Narayan) · [ACL Anthology](https://aclanthology.org/search/?q=Shashi+Narayan) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Shashi+Narayan)

Topics: [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/) 2

## Papers

1. **[The WebNLG Challenge: Generating Text from RDF Data](https://md.mova.elamur.ai/free/en/docs/papers/gardent-2017-webnlg-challenge-generating-text-rdf/)** *(2017)* The WebNLG challenge maps sets of RDF triples taken from DBpedia to text, and is built to test microplanning: referring expressions, aggregation, lexicalisation, surface realisation and sentence segmentation chosen together.
2. **[Unsupervised Sentence Simplification Using Deep Semantics](https://md.mova.elamur.ai/free/en/docs/papers/narayan-2016-unsupervised-sentence-simplification-deep-semantics/)** *(2016)* The system simplifies sentences with neither hand-written rules nor an aligned training corpus. It parses each sentence into a discourse representation structure (DRS), a deep semantic graph whose nodes are events and entities, and applies substitution, reordering, splitting and deletion on that graph, not on words…

## Co-authors (3)

- [Claire Gardent](https://md.mova.elamur.ai/free/en/docs/papers/authors/claire-gardent/) ×2
- [Anastasia Shimorina](https://md.mova.elamur.ai/free/en/docs/papers/authors/anastasia-shimorina/)
- Laura Perez-Beltrachini
- [← previous Sharon Goldwater](https://md.mova.elamur.ai/free/en/docs/papers/authors/sharon-goldwater/)
- [next → Shaul R. Shenhav](https://md.mova.elamur.ai/free/en/docs/papers/authors/shaul-r-shenhav/)
- [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)