{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,27]],"date-time":"2025-06-27T01:40:01Z","timestamp":1750988401814,"version":"3.41.0"},"reference-count":14,"publisher":"World Scientific Pub Co Pte Ltd","issue":"02","funder":[{"name":"Germany\u2019s Excellence Strategy \u2014 EXC 2176 \u201cUnderstanding Written Artefacts: Material, Interaction and Transmission in Manuscript Cultures\u201d","award":["390893796"],"award-info":[{"award-number":["390893796"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Semantic Computing"],"published-print":{"date-parts":[[2025,6]]},"abstract":"<jats:p> An agent providing an information retrieval service may work with a corpus of text documents. The documents in the corpus may contain annotations such as Subjective Content Descriptions (SCDs) \u2014 additional data associated with different sentences of the documents. Each SCD is associated with multiple sentences of the corpus and has relations among each other. The agent uses the SCDs to create its answers in response to queries supplied by users. However, the SCD the agent uses might reflect the subjective perspective of another user. Hence, answers may be considered faulty by an agent\u2019s user, because the SCDs may not exactly match the perceptions of an agent\u2019s user. A naive and very costly approach would be to ask each user to completely create all the SCD themselves. To use the existing knowledge, this paper presents ReFrESH, an approach for Relation-preserving Feedback-reliant Enhancement of SCDs by Humans. An agent\u2019s user can give feedback about faulty answers to the agent. This feedback is then used by ReFrESH to update the SCDs incrementally. However, human feedback is not always unambiguous. Therefore, this paper additionally presents an approach to decide how to incorporate the feedback and when to update the SCDs. Altogether, SCDs can be updated with human feedback, allowing users to create even more specific SCDs for their needs. <\/jats:p>","DOI":"10.1142\/s1793351x25420036","type":"journal-article","created":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T14:10:59Z","timestamp":1745590259000},"page":"297-319","source":"Crossref","is-referenced-by-count":0,"title":["Enhancement of Subjective Content Descriptions by Using Human Feedback"],"prefix":"10.1142","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1854-225X","authenticated-orcid":false,"given":"Magnus","family":"Bender","sequence":"first","affiliation":[{"name":"Institute of Humanities-Centered Artificial Intelligence, Universit\u00e4t Hamburg, Warburgstra\u00dfe 28, 20354 Hamburg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0282-4284","authenticated-orcid":false,"given":"Tanya","family":"Braun","sequence":"additional","affiliation":[{"name":"Computer Science Department, University of M\u00fcnster, Einsteinstra\u00dfe 62, 48149 M\u00fcnster, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1174-3323","authenticated-orcid":false,"given":"Ralf","family":"M\u00f6ller","sequence":"additional","affiliation":[{"name":"Institute of Humanities-Centered Artificial Intelligence, Universit\u00e4t Hamburg, Warburgstra\u00dfe 28, 20354 Hamburg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9056-7673","authenticated-orcid":false,"given":"Marcel","family":"Gehrke","sequence":"additional","affiliation":[{"name":"Institute of Humanities-Centered Artificial Intelligence, Universit\u00e4t Hamburg, Warburgstra\u00dfe 28, 20354 Hamburg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2025,4,24]]},"reference":[{"key":"S1793351X25420036BIB001","first-page":"17","volume-title":"Proc. 18th IEEE Int. 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