Multi Source Multilingual Information Extraction And Summarization


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Multi-source, Multilingual Information Extraction and Summarization


Multi-source, Multilingual Information Extraction and Summarization

Author: Thierry Poibeau

language: en

Publisher: Springer Science & Business Media

Release Date: 2012-08-14


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Information extraction (IE) and text summarization (TS) are powerful technologies for finding relevant pieces of information in text and presenting them to the user in condensed form. The ongoing information explosion makes IE and TS critical for successful functioning within the information society. These technologies face particular challenges due to the inherent multi-source nature of the information explosion. The technologies must now handle not isolated texts or individual narratives, but rather large-scale repositories and streams---in general, in multiple languages---containing a multiplicity of perspectives, opinions, or commentaries on particular topics, entities or events. There is thus a need to adapt existing techniques and develop new ones to deal with these challenges. This volume contains a selection of papers that present a variety of methodologies for content identification and extraction, as well as for content fusion and regeneration. The chapters cover various aspects of the challenges, depending on the nature of the information sought---names vs. events,--- and the nature of the sources---news streams vs. image captions vs. scientific research papers, etc. This volume aims to offer a broad and representative sample of studies from this very active research field.

Artificial Intelligence: Methodology, Systems, and Applications


Artificial Intelligence: Methodology, Systems, and Applications

Author: Petia Koprinkova-Hristova

language: en

Publisher: Springer Nature

Release Date: 2025-01-31


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This book constitutes the refereed proceedings of the 19th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2024, held in Varna, Bulgaria, during September 18–20, 2024. The 18 revised full papers presented in this book were carefully reviewed and selected from 23 submissions. They cover a wide range of topics in AI and its applications: natural language processing, sentiment analyses, image processing, optimization, reinforcement learning, from deep ANNs to spike timing NNs, applications in economics, medicine and process control.

Conference proceedings. ICT for language learning


Conference proceedings. ICT for language learning

Author: Pixel

language: en

Publisher: libreriauniversitaria.it Edizioni

Release Date: 2015


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