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Information Extraction for Everyone

Project description

Computers learn about human’s natural language

Computers are pretty smart but they have their limitations, particularly when it comes to natural language processing (NLP). Language processing involves high-level and abstract rules to convey information, making it difficult for computers to decipher and understand human languages. The EU-funded iEXTRACT project will review the rule-based information extraction methods in view of advances in NLP and machine learning. Information extraction is a collaborative human-computer effort, in which the user provides domain-specific knowledge, and the system solves various domain-independent linguistic complexities, ultimately allowing the user to query unstructured texts. The main goal is to assist domain experts such as lawyers and scientists by empowering them to process large volumes of data and advance their profession.

Host institution

BAR ILAN UNIVERSITY
Net EU contribution
€ 1 499 354,00
Address
Bar Ilan University Campus
52900 Ramat Gan
Israel

See on map

Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00

Beneficiaries (1)

BAR ILAN UNIVERSITY
Israel
Net EU contribution
€ 1 499 354,00
Address
Bar Ilan University Campus
52900 Ramat Gan

See on map

Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00