Mar 1, 2018 · This paper aims at presenting a system that retrieves documents based on a keyword-oriented query and ranks them according to topic and language level.
Mar 9, 2024 · PDF | On Mar 1, 2018, Rodrigo Wilkens and others published Document Ranking Applied to Second Language Learning | Find, read and cite all ...
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Abstract. This paper proposes an approach of extracting simple and effective features that enhances multilingual document ranking (MLDR).
Jun 30, 2023 · In this paper, we propose to significantly reduce the burden on LLMs by using a new technique called Pairwise Ranking Prompting (PRP).
Aug 7, 2021 · Document ranking is a well-known problem in the NLP domain which has prominent use cases across the various industries in extractive ...
ABSTRACT. This paper presents a new variant of the perceptron algo- rithm using selective committee averaging (or voting). We.
We propose a multi-task learning framework to jointly learn document ranking and query suggestion for web search. 1.
Missing: Second | Show results with:Second
This paper proposes an approach of extracting simple and effective features that enhances multilingual document ranking (MLDR).
Missing: Second | Show results with:Second
Jul 7, 2022 · We present a novel supervised approach to transform cluster ranking to document ranking. The approach allows to simultaneously utilize different clusterings.
Apr 23, 2011 · We describe a number of issues in learning for ranking creation, with document retrieval as an example. These include training and testing ...