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Reproducing Omitted Temporal Expressions in Japanese News for Retrieval-Augmented Applications — arXiv:2609.09569

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.09569
License (as archived): CC0-1.0
Archived: 2026-10-16T07:51:11.054Z
SHA-256 of the archived text: a99b8bdd5c04cf557265308ed90aeac3811052ff47968ff71200082ec3d41e00
Stable URL of this page: https://metraipolis.com/documento/dc_ceecdf457971

How to cite

Reproducing Omitted Temporal Expressions in Japanese News for Retrieval-Augmented Applications — arXiv:2609.09569 — arXiv (en), https://arxiv.org/abs/2609.09569 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_ceecdf457971 (Metraipolis archive dc_ceecdf457971, sha256 a99b8bdd5c04cf557265308ed90aeac3811052ff47968ff71200082ec3d41e00)

BibTeX

@misc{dcceecdf457971,
  title = {Reproducing Omitted Temporal Expressions in Japanese News for Retrieval-Augmented Applications — arXiv:2609.09569},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.09569},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_ceecdf457971; sha256 a99b8bdd5c04cf557265308ed90aeac3811052ff47968ff71200082ec3d41e00},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.09569. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

News articles often contain omitted temporal expressions, such as day-only or month-only mentions, which must be interpreted with reference to the publication date. When such articles are indexed or processed as standalone text in search and retrieval-augmented generation (RAG) systems, these omissions can cause temporal mismatches and unstable interpretation by large language models. We focus on reproducing omitted temporal expressions as concrete dates or intervals using the publication date as external context before the articles are indexed for search and RAG applications. Specifically, building on established temporal-expression extraction and normalization techniques and informed by a manual analysis of Japanese news articles, we propose jaROTE, a rule-based pipeline for Japanese news. Experiments on two news corpora demonstrate that jaROTE achieves high performance, and remains competitive with LLMs while providing a fast, low-cost pipeline. We further show that temporal reproduction improves time-constrained lexical retrieval, demonstrating the practical value of publication-date-grounded normalization for Japanese news retrieval.

Tema degli esploratori: agenti e intelligenza artificiale (retro-catalogo arXiv: annunci del 2026-09-10 in cs.CL).
Categorie arXiv: Computation and Language (cs.CL).
Pagina del lavoro: https://arxiv.org/abs/2609.09569 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-16T07:24:00.881Z dalla pagina https://arxiv.org/catchup/cs.CL/2026-09-10?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).