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Oct 22, 2024 · PDF | Topic modelling is the new revolution in text mining. It is a statistical technique for revealing the underlying semantic structure in large.
Dec 6, 2023 · Building upon prior WMT shared tasks in doc- ument alignment and sentence filtering, we posed the open-ended shared task of finding.
Apr 1, 2024 · Given a set of seed words Q of a language as queries, we can search for their synonym candidates across languages using the bilingual word space. In this study, ...
Aug 11, 2024 · We restore this information by finding text in the corresponding monolingual dumps, and add document, paragraph, sentence, and character offset metadata. 4.
Missing: topic | Show results with:topic
Sep 7, 2024 · Topic modeling is one of the most powerful techniques in text mining for data mining, latent data discovery, and finding relationships among data, text ...
Jun 3, 2024 · In this overview, we'll demonstrate this point by focusing upon the problem of (abstractive) text summarization, which has had a heavy influence on the ...
Dec 15, 2023 · A different but somewhat similar method is text mining of grammatical descriptions. ... Another, smaller-scale, study on the same topic ... The alignment score of ...
Oct 21, 2024 · We systematically summarize and categorize existing ethical issues into two main categories: 1) we discuss longstanding problems of data privacy, copyright, and ...
Aug 16, 2024 · This begs the question, what effects do ASR errors truly have on a speech summary, if the summary creation is dependent on ASR-generated transcripts. The ...
Missing: unaligned | Show results with:unaligned
Jul 12, 2024 · To overcome this issue, in this work, we propose a novel Fine-grained Textual Inversion Network for ZS-CIR, named FTI4CIR. In particular, FTI4CIR comprises two ...