Elamur Research⌕
☰
home / authors / Doo Soon Kim

Doo Soon Kim

Doo Soon Kim has 3 papers in our library, in 2018–2021, most of them on Summarization, Discourse analysis, Coreference resolution; often with Franck Dernoncourt, Seokhwan Kim, Trung Bui.

3 papers in our library · 2018–2021

OpenAlex · h-index 11 · 39 works · 1,183 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 454 times in our library · ⭐ Paper Stars ranking: #1942

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

 Affiliations

🏢Adobe SystemsSan Jose · United States2018–2021 · 21 papers🏢AccentureNew York · United States2012–2013 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 works

🧭 Topics 3Research subjects and languages the work is about.Summarization · 2 worksDiscourse analysis · 1 workCoreference resolution · 1 work

 Works by year

2020s

20211 paperEnd-to-end Neural Coreference Resolution Revisited: A Simple yet Effective Baseline

2010s

20191 paperScoring Sentence Singletons and Pairs for Abstractive Summarization20181 paperA Discourse-Aware Attention Model for Abstractive Summarization of Long Documents

 Papers

The most cited first (OpenAlex and our library).

  1. A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents (2018 · 1,022 citations)
    Most neural abstractive summarizers have been built and tested on short news stories of a few hundred words.
  2. Scoring Sentence Singletons and Pairs for Abstractive Summarization (2019 · 157 citations)
    When people write summaries, they usually form each summary sentence by shortening one source sentence or by combining material from two.
  3. End-to-end Neural Coreference Resolution Revisited: A Simple yet Effective Baseline (2021 · 8 citations)
    The paper asks whether the many extensions built on top of e2e-coref, the first end-to-end neural coreference model, are needed once a strong pretrained Transformer serves as the encoder.

 Co-authors here

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

Venues

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

 Cited by

Papers of our library cite their works 454 times (of the 141,840 papers whose bibliographies we read); 42 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/doo-soon-kim/