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Definition. In relation to structured text retrieval, contextualization means estimating the relevance of a given structural text unit with information obtainable from – besides the unit itself – the surrounding structural text units, that is, from the context of the unit.
Dec 7, 2018 · In information retrieval, contextualization refers to a (re)scoring method, where the relevance of a retrievable unit (e.g. document, image, ...
Arvola P, Junkkari M, Kekäläinen J. Generalized contextualization method for XML information retrieval. In: Proceedings of the International Conference on ...
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Contextualization in Structured Text Retrieval. Contextualization in Structured Text Retrieval. Year of publication. 2018. Authors. Kekäläinen, Jaana;Arvola ...
We evaluate our method for structured text understanding at segment-level and token-level and show it outperforms the state-of-the-art counterparts with ...
Dec 13, 2024 · Evidence contextualization in current RAG systems mainly involve steps like: (i) coreference resolution for resolving simple pronouns like (s)he ...
Jul 15, 2024 · This paper proposes an automatic text classification method using classweighting, or group-of-term-weighting approach as an extension of ...
Missing: Contextualization | Show results with:Contextualization
The proposed method consists of enriching the data with semantic information, allowing a more accurate retrieval of results. The implementation of this approach ...
Oct 22, 2024 · Contextualization [3] is a re-scoring model, where the basic score, usually obtained from a full-text retrieval model, of a contextualized ...
The process of taking the context of the element into account in element scoring is called contextualization. This study extends the concept of ...