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- W2491549079 abstract "We define Multilingual Multi-Document Summarization (MMDS) as the process of identifying the main information of a cluster with (at least) two texts, one in the user’s language and one in a foreign language, and presenting it as a summary in the user’s language. Although it is a relevant task due to the increasing amount of on-line information in different languages, there are only baselines for (Brazilian) Portuguese, which apply machine-translation to obtain a monolingual input and superficial features for sentence extraction. We report our investigation on the application of conceptual frequency measure to build a summary in Portuguese from a bilingual cluster (Portuguese and English). The methods tackle two additional challenges: using Princeton WordNet for nouns annotation and applying MT to translate selected sentences in English to Portuguese. The experiments were performed using a corpus of 20 clusters, and show that lexical-conceptual knowledge improves the linguistic quality and informativeness of extracts." @default.
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- W2491549079 date "2016-01-01" @default.
- W2491549079 modified "2023-09-23" @default.
- W2491549079 title "Applying Lexical-Conceptual Knowledge for Multilingual Multi-document Summarization" @default.
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- W2491549079 doi "https://doi.org/10.1007/978-3-319-41552-9_4" @default.
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