[2301.11030] Paraphrase Acquisition from Image Captions
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Computer Science > Computation and Language

arXiv:2301.11030 (cs)
[Submitted on 26 Jan 2023 (v1), last revised 15 Feb 2023 (this version, v2)]

Title:Paraphrase Acquisition from Image Captions

Authors:Marcel Gohsen, Matthias Hagen, Martin Potthast, Benno Stein
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Abstract:We propose to use image captions from the Web as a previously underutilized resource for paraphrases (i.e., texts with the same "message") and to create and analyze a corresponding dataset. When an image is reused on the Web, an original caption is often assigned. We hypothesize that different captions for the same image naturally form a set of mutual paraphrases. To demonstrate the suitability of this idea, we analyze captions in the English Wikipedia, where editors frequently relabel the same image for different articles. The paper introduces the underlying mining technology, the resulting Wikipedia-IPC dataset, and compares known paraphrase corpora with respect to their syntactic and semantic paraphrase similarity to our new resource. In this context, we introduce characteristic maps along the two similarity dimensions to identify the style of paraphrases coming from different sources. An annotation study demonstrates the high reliability of the algorithmically determined characteristic maps.
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2301.11030 [cs.CL]
  (or arXiv:2301.11030v2 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2301.11030

Submission history

From: Marcel Gohsen MSc. [view email]
[v1] Thu, 26 Jan 2023 10:54:51 UTC (1,456 KB)
[v2] Wed, 15 Feb 2023 15:32:26 UTC (1,582 KB)
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