---
title: "Mark Yatskar — papers and cards"
description: "Mark Yatskar: 2 paper cards in the Research library (2017–2023), with what each paper is about, the ideas Mova took from it, and the co-authors."
canonical: "https://research.elamur.ai/free/en/authors/mark-yatskar/"
---
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# Mark Yatskar

2 paper cards in the Research library · 2017–2023

Mark Yatskar wrote 2 of the papers Mova reads, in 2017–2023, most of them on [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/), [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/); often with [Chaitanya Malaviya](https://md.research.elamur.ai/free/en/authors/chaitanya-malaviya/), Ioannis Konstas, [Luke Zettlemoyer](https://md.research.elamur.ai/free/en/authors/luke-zettlemoyer/).

[OpenAlex](https://openalex.org/A5039205261) · [**h-index 27**](https://openalex.org/authors/A5039205261) · [7341 citations](https://openalex.org/authors/A5039205261) · [81 works](https://openalex.org/works?filter=author.id:A5039205261) — openalex-snapshot, 2026-10-14

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=Mark+Yatskar) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Mark+Yatskar) · [dblp](https://dblp.org/search?q=Mark+Yatskar) · [ACL Anthology](https://aclanthology.org/search/?q=Mark+Yatskar) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Mark+Yatskar)

Topics: [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) 1 · [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 1

## Papers

1. **[AmbiCoref: Evaluating Human and Model Sensitivity to Ambiguous Coreference](https://md.research.elamur.ai/free/en/papers/yuan-2023-ambicoref-evaluating-human-model-sensitivity/)** *(2023)* The paper asks whether coreference models react to pronoun ambiguity as people do. It builds AmbiCoref, a corpus of minimal sentence pairs: an ambiguous and an unambiguous sentence differ only in one verb phrase (for example "Abby told Brittney that she upset Courtney" against "hugged"). The templates come from four…
2. **[Neural AMR: Sequence-to-Sequence Models for Parsing and Generation](https://md.research.elamur.ai/free/en/papers/konstas-2017-neural-amr-sequence-sequence-models/)** *(2017)* The paper applies sequence-to-sequence neural models to both AMR parsing and AMR generation. The main obstacle is data sparsity, so the authors pretrain on millions of unlabelled Gigaword sentences: a parser labels them, a generator is pretrained on those pairs, and then both are fine-tuned on the 16,833 gold pairs.…

## Co-authors (6)

- [Chaitanya Malaviya](https://md.research.elamur.ai/free/en/authors/chaitanya-malaviya/)
- Ioannis Konstas
- [Luke Zettlemoyer](https://md.research.elamur.ai/free/en/authors/luke-zettlemoyer/)
- Srinivasan Iyer
- [Yejin Choi](https://md.research.elamur.ai/free/en/authors/yejin-choi/)
- Yuewei Yuan

## More papers in the library (5)

Pages of the Research library: our summary, the ideas, references and who cites each.

- [Gender Bias in Contextualized Word Embeddings](https://md.research.elamur.ai/free/en/papers/zhao-2019-gender-bias-contextualized-word-embeddings/) — Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al. · 2019
- [VisualBERT: A Simple and Performant Baseline for Vision and Language](https://md.research.elamur.ai/free/en/papers/li-2019-visualbert-simple-performant-baseline-vision/) — Liunian Harold Li, Mark Yatskar, Da Yin, et al. · 2019
- [Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods](https://md.research.elamur.ai/free/en/papers/zhao-2018-gender-bias-coreference-resolution-evaluation/) — Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al. · 2018
- [QuAC: Question Answering in Context](https://md.research.elamur.ai/free/en/papers/choi-2018-quac-question-answering-context/) — Eunsol Choi, He He, Mohit Iyyer, et al. · 2018
- [Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints](https://md.research.elamur.ai/free/en/papers/zhao-2017-men-also-like-shopping-reducing/) — Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al. · 2017
