--- title: "Joonsuk Park — author profile and papers · Discourse analysis" description: "Joonsuk Park: 5 papers on Elamur Research (2012–2023) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/joonsuk-park/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/joonsuk-park/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Joonsuk Park # Joonsuk Park Joonsuk Park has 5 papers in our library, in 2012–2023, most of them on [Discourse analysis](https://md.research.elamur.ai/free/en/topics/discourse-analysis/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Claire Cardie](https://md.research.elamur.ai/free/en/authors/claire-cardie/), [Gangwoo Kim](https://md.research.elamur.ai/free/en/authors/gangwoo-kim/), [Jaewoo Kang](https://md.research.elamur.ai/free/en/authors/jaewoo-kang/). 5 papers in our library · 2012–2023 No OpenAlex profile matched yet. [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/joonsuk-park/#papers) · [🔗 Cited 247 times in our library](https://md.research.elamur.ai/free/en/authors/joonsuk-park/cited-by/) · [⭐ Paper Stars ranking: #2873](https://md.research.elamur.ai/free/en/paper-stars/page/29/#star-2873) 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=Joonsuk+Park) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Joonsuk+Park) · [dblp](https://dblp.org/search?q=Joonsuk+Park) · [ACL Anthology](https://aclanthology.org/search/?q=Joonsuk+Park) ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 9 The field of science this work belongs to (OpenAlex fields).[Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Political Science and International Relations · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) · [Philosophy · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/philosophy/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 3 Research subjects and languages the work is about.[Discourse analysis · 1 work](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Discourse analysis · 1 work](https://md.research.elamur.ai/free/en/concepts/discourse-analysis/) ## Works by year ### 2020s [**2023** 1 paper Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Models](https://md.research.elamur.ai/free/en/papers/kim-2023-tree-clarifications-answering-ambiguous-questions/) ### 2010s [**2017** 1 paper Argument Mining with Structured SVMs and RNNs](https://md.research.elamur.ai/free/en/papers/niculae-2017-argument-mining-structured-svms-rnns/) · [**2015** 1 paper Automatic Identification of Rhetorical Questions](https://md.research.elamur.ai/free/en/papers/bhattasali-2015-automatic-identification-rhetorical-questions/) · [**2014** 1 paper Identifying Appropriate Support for Propositions in Online User Comments](https://md.research.elamur.ai/free/en/papers/park-2014-identifying-appropriate-support-propositions-online/) · [**2012** 1 paper Improving Implicit Discourse Relation Recognition Through Feature Set Optimization](https://md.research.elamur.ai/free/en/papers/park-2012-improving-implicit-discourse-relation-recognition/) ## Papers The most cited first (OpenAlex and our library). 1. **[Identifying Appropriate Support for Propositions in Online User Comments](https://md.research.elamur.ai/free/en/papers/park-2014-identifying-appropriate-support-propositions-online/)** *(2014 · 222 citations)* Online user comments often make arguments whose claims are weakly justified or not justified at all. Park and Cardie do not discard these implicit arguments. Instead, they label every proposition by the kind of support it would require. UNVERIFIABLE claims need a reason. VERIFIABLE NON-EXPERIENTIAL claims need… 2. **[Improving Implicit Discourse Relation Recognition Through Feature Set Optimization](https://md.research.elamur.ai/free/en/papers/park-2012-improving-implicit-discourse-relation-recognition/)** *(2012 · 165 citations)* Recognizing implicit discourse relations, where no connective such as "because" signals the link between two text spans, is much harder than handling explicit ones. 3. **[Argument Mining with Structured SVMs and RNNs](https://md.research.elamur.ai/free/en/papers/niculae-2017-argument-mining-structured-svms-rnns/)** *(2017 · 160 citations)* The paper addresses argument mining when support relations between argumentative units do not have to form trees. 4. **[Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Models](https://md.research.elamur.ai/free/en/papers/kim-2023-tree-clarifications-answering-ambiguous-questions/)** *(2023 · 82 citations)* Open-domain questions are often ambiguous: one query can admit several readings, each with its own answer. 5. **[Automatic Identification of Rhetorical Questions](https://md.research.elamur.ai/free/en/papers/bhattasali-2015-automatic-identification-rhetorical-questions/)** *(2015 · 34 citations)* The paper addresses rhetorical questions: utterances that look like ordinary questions but are used to make a claim rather than to request information. ## Co-authors here 5 co-authors with a page, the most papers together first. - [Claire Cardie](https://md.research.elamur.ai/free/en/authors/claire-cardie/) ×3 - [Gangwoo Kim](https://md.research.elamur.ai/free/en/authors/gangwoo-kim/) - [Jaewoo Kang](https://md.research.elamur.ai/free/en/authors/jaewoo-kang/) - [Sungdong Kim](https://md.research.elamur.ai/free/en/authors/sungdong-kim/) - [Vlad Niculae](https://md.research.elamur.ai/free/en/authors/vlad-niculae/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2017](https://md.research.elamur.ai/free/en/venues/acl/2017/), [ACL 2015](https://md.research.elamur.ai/free/en/venues/acl/2015/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2023](https://md.research.elamur.ai/free/en/venues/emnlp/2023/) - [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/): [SIGDIAL 2012](https://md.research.elamur.ai/free/en/venues/sigdial/2012/) - [Workshop on Argumentation Mining](https://md.research.elamur.ai/free/en/venues/workshop-on-argumentation-mining/): [Workshop on Argumentation Mining 2014](https://md.research.elamur.ai/free/en/venues/workshop-on-argumentation-mining/2014/) ## Cited by Papers of our library cite their works 247 times (of the 141,840 papers whose bibliographies we read); [52 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/joonsuk-park/cited-by/). Updated 24 October 2026