---
title: "Najoung Kim — papers and cards"
description: "Najoung Kim: 2 paper cards in the Research library (2020–2021), with what each paper is about, the ideas Mova took from it, and the co-authors."
canonical: "https://research.elamur.ai/free/en/authors/najoung-kim/"
---
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# Najoung Kim

2 paper cards in the Research library · 2020–2021

Najoung Kim wrote 2 of the papers Mova reads, in 2020–2021, most of them on [Discourse analysis](https://md.research.elamur.ai/free/en/topics/discourse-analysis/); often with Burcu Karagol Ayan, Chulaka Gunasekara, Deepak Ramachandran.

[OpenAlex](https://openalex.org/A5071542832) · [ORCID](https://orcid.org/0009-0009-7352-8643) · [**h-index 14**](https://openalex.org/authors/A5071542832) · [1110 citations](https://openalex.org/authors/A5071542832) · [54 works](https://openalex.org/works?filter=author.id:A5071542832) — 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=Najoung+Kim) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Najoung+Kim) · [dblp](https://dblp.org/search?q=Najoung+Kim) · [ACL Anthology](https://aclanthology.org/search/?q=Najoung+Kim) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Najoung+Kim)

Topics: [Discourse analysis](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) 1

## Papers

1. **[Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering](https://md.research.elamur.ai/free/en/papers/kim-2021-which-linguist-invented-lightbulb-presupposition/)** *(2021)* The paper studies unanswerable questions in Natural Questions. In a hand analysis of 100 of them, 30% are unanswerable because a presupposition of the question cannot be verified in the linked document («What is the stock symbol for Mars candy?» presupposes that there is one). Most such presuppositions come from the…
2. **[Implicit Discourse Relation Classification: We Need to Talk about Evaluation](https://md.research.elamur.ai/free/en/papers/kim-2020-implicit-discourse-relation-classification-we/)** *(2020)* Results on implicit relation classification in PDTB 2.0 were hard to compare: papers used different label sets (4 top-level senses, 11 or 12 level-2 senses), different test sections (switching sections 21–22 for 23–24 changes the test by 149 items and one label's count by 71, on test sets of about 1,000), different…

## Co-authors (6)

- Burcu Karagol Ayan
- Chulaka Gunasekara
- Deepak Ramachandran
- [Ellie Pavlick](https://md.research.elamur.ai/free/en/authors/ellie-pavlick/)
- Luis Lastras
- Song Feng

## More papers in the library (2)

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

- [Probing What Different NLP Tasks Teach Machines about Function Word Comprehension](https://md.research.elamur.ai/free/en/papers/kim-2019-probing-what-different-nlp-tasks/) — Najoung Kim, Roma Patel, Adam Poliak, et al. · 2019
- [What do you learn from context? Probing for sentence structure in contextualized word representations](https://md.research.elamur.ai/free/en/papers/tenney-2019-learn-context-probing-sentence-structure/) — Ian Tenney, Patrick Xia, Berlin Chen, et al. · 2019
