CORDIS Project
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ML-TEXTSUM aims to develop a multilingual text summarization system that efficiently condenses information from various sources. Leveraging machine learning and natural language processing, it seeks to help users manage information overload and access essential insights regardless of language.
In our daily life, we are submerged by huge amounts of text, coming from different sources such as emails, news, reports, and so on.
The availability of unprecedented volumes of data represents both a challenge and an opportunity.
On one hand, it can lead to information overload, a phenomenon that limits one’s capacity to understand an issue and act in the presence of too much information.
On the other hand, the effective harnessing of this information has undeniable economical potential.
Furthe…
EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
LOS ANGELES UCLA SANTA BARBARA UCSB DAVIS UCD RIVERSIDE UCR SAN DIEGO UCSD SANTA CRUZ UCSC IRVIN
United States, Berkeley
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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