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We study how topic modeling techniques can be applied to such platforms to facilitate searching of court judgments.
In this paper we address the judgment retrieval problem by applying topic modeling techniques to perform semantic search and judgment summarization.
We study how topic modeling techniques can be applied to such platforms to facilitate searching of court judgments. Specifically, we improve search�...
Dec 8, 2021We study how topic modeling techniques can be applied to such platforms to facilitate searching of court judgments. Specifically, we improve�...
Mar 21, 2022We study how topic modeling techniques can be applied to such platforms to facilitate searching of court judgments. Specifically, we improve�...
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Dec 4, 2021Top2Vec is an algorithm for topic modeling and semantic search. It can automatically detect topics present in documents and generates jointly embedded topics.
Missing: Summarization Judgments
Dec 28, 2016How Google May use semantic topic modeling to understand what a page on the web is about, and to rank that page in search results.
approach to generate concise summaries from legal judgments using topics obtained from LDA, providing a notable method for summarization, especially as the�...
The contributions of this paper are threefold: (1) An analysis of the ways in which topics can be flawed; (2) an au- tomated evaluation metric for identifying�...
This paper explores the complex field of text summarization in Natural Language Processing (NLP), with particular attention to the development and importance�...