Mahouachi, Mme Mechket Emna (2020) Extracting Complex Information : from Natural Language Text : A survey PRE - Research Project, ?? - ??.

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Abstract

More than 80 % of the world’s information is stored in a natural language text form which is highly unstructured and merely understandable for machines. During the last decade, Researchers have invested in Information Extraction field in order to allow computers to understand resources contained in web pages, so they can interact actively with users. Several approaches focus on binary relations by extracting data from text and presenting it in a triple format. Yet, extracting complex information from causal , contrasting, opinion sentences presents a big challenge for most of these systems. In this paper, we survey existing approaches to date by presenting an overview of their strengths and weaknesses and finally we suggest promising directions of future work.

Item Type:Thesis (PRE - Research Project)
Subjects:Information and Communication Sciences and Technologies
ID Code:8342
Deposited By:mechket emna Mahouachi
Deposited On:18 déc. 2020 11:53
Dernière modification:18 déc. 2020 11:53

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