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Pavel Kral

Pavel Kral has 3 papers in our library, in 2024–2026, most of them on Language models & pretraining, Speech act theory, Sentiment & emotion; often with Jakub Šmíd, Christophe Cerisara.

3 papers in our library · 2024–2026

current affiliationUniversity of West Bohemia in Pilsen, Pilsen, Czechia

OpenAlex · ORCID · h-index 15 · 156 works · 920 citations OpenAlex, 2026-10-14

3 works in our library · 12 citations in our library · 2 more works in our library · ⭐ Paper Star rank #4971

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

Topics

Language models & pretraining2Speech act theory1Sentiment & emotion1Dialogue systems1Evaluation & benchmarks1

Works by year

2020s

20262 papers20241 paper

Papers

The most cited first (OpenAlex and our library).

  1. COMICORDA: Dialogue Act Recognition in Comic Books (2024 · 3 citations)
    The authors build COMICORDA, over 1,400 comic panels (from the public COMICS collection and another source) with speech and narration balloons, corrected text, faces linked to balloons, and a dialogue act for each utterance, annotated by three people after the VERBMOBIL guide with additions: a separate Order class…
  2. Large Language Models for Citation Function Classification (2026 · 1 citation)
    Citation counts treat every reference alike, but citations serve very different purposes. One may build on a method, another may dispute a finding. This paper examines how well current large language models can automatically label citation function. The authors benchmark four open LLMs (Mistral 7B, Orca 2-7B, LLaMA…
  3. Extending Czech Aspect-Based Sentiment Analysis with Opinion Terms: Dataset and LLM Benchmarks (2026)
    Czech aspect-based sentiment analysis (ABSA) has had no data with opinion term labels. As a result, tasks that link aspects, categories, opinions and polarity could only be studied in English. The authors extend the existing CsRest-M restaurant review corpus, which already has train, validation and test splits, with…

Also in our library

2 more works of theirs are in our library without a page here yet; they will appear as we publish them.

Co-authors here

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

Cited by

Papers of our library cite their works 12 times (of the 140 884 papers whose bibliographies we read); 2 citing papers with a page here →.

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