Apr 29, 2020 · Abstract:The identification of relevance with little textual context is a primary challenge in passage retrieval.
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Jul 25, 2020 · We show that EPIC significantly outperforms prior importance-modeling and document expansion approaches. We also observe that the performance is ...
Expansion via Prediction of Importance with Contextualization · Getting started · Training · Tune re-ranking thresholds · Building the document vector cache · EPIC ...
We propose a new approach for passage retrieval that performs modeling of term importance (i.e., salience) and expansion over a contextualized language model to ...
A representation-based ranking approach that explicitly models the importance of each term using a contextualized language model, and performs passage ...
View recent discussion. Abstract: The identification of relevance with little textual context is a primary challenge in passage retrieval.
Sep 11, 2024 · The identification of relevance with little textual context is a primary challenge in passage retrieval. We address this problem with a ...
Jul 25, 2020 · We propose a new approach for passage retrieval that performs modeling of term importance (i.e., salience) and expansion over a contextualized ...
May 7, 2024 · Bibliographic details on Expansion via Prediction of Importance with Contextualization.
... {Expansion via Prediction of Importance with Contextualization}, booktitle = {Proceedings of the 43rd International ACM SIGIR Conference on Research and ...