---
title: "Tessa Masis — author profile and papers — Elamur Research"
description: "Tessa Masis, University of Massachusetts Amherst: 2 papers on Elamur Research (2022–2026), h-index 3 — affiliations, topics, co-authors…"
canonical: "https://research.elamur.ai/free/en/authors/tessa-masis/"
---
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# Tessa Masis

Tessa Masis has 2 papers in our library, in 2022–2026, most of them on [Low-resource languages](https://md.research.elamur.ai/free/en/topics/low-resource-languages/), [English](https://md.research.elamur.ai/free/en/topics/english/); often with [Brendan O'Connor](https://md.research.elamur.ai/free/en/authors/brendan-o-connor/), [Lisa Green](https://md.research.elamur.ai/free/en/authors/lisa-green/).

2 papers in our library · 2022–2026

[OpenAlex](https://openalex.org/A5026528794) · [ORCID](https://orcid.org/0009-0006-2550-416X) · [**h-index 3**](https://openalex.org/authors/A5026528794) · [11 works](https://openalex.org/works?filter=author.id:A5026528794) · [11 citations](https://openalex.org/works?filter=author.id:A5026528794&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/tessa-masis/#papers) · [🔗 Cited 7 times in our library](https://md.research.elamur.ai/free/en/authors/tessa-masis/cited-by/) · [⭐ Paper Stars ranking: #11069](https://md.research.elamur.ai/free/en/paper-stars/page/111/#star-11069)

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=Tessa+Masis) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Tessa+Masis) · [dblp](https://dblp.org/search?q=Tessa+Masis) · [ACL Anthology](https://aclanthology.org/search/?q=Tessa+Masis)

## Affiliations

[🎓**University of Massachusetts Amherst** Amherst Center · United States 2021–2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-massachusetts-amherst/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Geography, Planning and Development · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/geography-planning-and-development/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

🧭 Topics 2 Research subjects and languages the work is about.[English · 1 work](https://md.research.elamur.ai/free/en/topics/english/) · [Low-resource languages · 1 work](https://md.research.elamur.ai/free/en/topics/low-resource-languages/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/tessa-masis/year/2026/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/tessa-masis/year/2022/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Corpus-Guided Contrast Sets for Morphosyntactic Feature Detection in Low-Resource English Varieties](https://md.research.elamur.ai/free/en/papers/masis-2022-corpus-guided-contrast-sets-morphosyntactic/)** *(2022 · 10 citations)* Sociolinguists often study variation by counting dialect features such as zero copula, habitual be or finna.
2. **[Coordinates from Context: Using LLMs to Ground Complex Location References](https://md.research.elamur.ai/free/en/papers/masis-2026-coordinates-context-llms-ground-complex/)** *(2026 · 1 citation)* The paper addresses geocoding of compositional location references. These are places described relative to other toponyms rather than by name, such as a spot lying between two towns. Standard geocoders cannot ground such descriptions because they only resolve the named places inside the phrase, and the target area…

## Co-authors here

2 co-authors with a page, the most papers together first.

- [Brendan O'Connor](https://md.research.elamur.ai/free/en/authors/brendan-o-connor/) ×2
- [Lisa Green](https://md.research.elamur.ai/free/en/authors/lisa-green/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/)
- [Workshop on NLP Applications to Field Linguistics](https://md.research.elamur.ai/free/en/venues/fieldmatters/): [Workshop on NLP Applications to Field Linguistics 2022](https://md.research.elamur.ai/free/en/venues/fieldmatters/2022/)

## Cited by

Papers of our library cite their works 7 times (of the 149,439 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/tessa-masis/cited-by/).

Updated 31 October 2026
