Mova0.5 pre-release⌕
☰
home / docs / papers / authors / Daniel Khashabi

Daniel Khashabi

2 paper cards in Mova's library · 2018–2020

Daniel Khashabi wrote 2 of the papers Mova reads, in 2018–2020, most of them on Coreference resolution; often with Ally Zhang, Ananth Gottumukkala, Ben Bogin.

OpenAlex · ORCID · h-index 36 · 5868 citations · 223 works — 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 · Semantic Scholar · dblp · ACL Anthology · ORCID

Topics: Coreference resolution 1

Papers

  1. Evaluating Models' Local Decision Boundaries via Contrast Sets (2020) measured
    Standard test sets come from the same distribution as the training data, so a dataset with systematic gaps or annotation artifacts lets models score well with shallow heuristics.
  2. Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences (2018)
    MultiRC has about 6,000 verified multi-sentence questions (9,872 collected) on 871 paragraphs from seven domains, fiction (Gutenberg, MCTest children's stories, movie plots) being the largest.

Co-authors (29)

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/authors/daniel-khashabi/