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Relation Extraction for Competitive Intelligence
2020Competitive intelligence (CI) has become one of the major subjects for strategic process in an organization in the recent years. CI gives support to the strategic business area and works as a sensor, showing managers how to position their organization as competitive in the market.
Sandra Collovini +4 more
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Relation extraction and scoring in DeepQA
IBM Journal of Research and Development, 2012Detecting semantic relations in text is an active problem area in natural-language processing and information retrieval. For question answering, there are many advantages of detecting relations in the question text because it allows background relational knowledge to be used to generate potential answers or find additional evidence to score supporting ...
Chang Wang 0001 +4 more
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A Benchmark for Relation Extraction Kernels
2015Relation extraction from textual documents is an important task in the context of information extraction. This task aims at identifying relations between pairs of named entities and assigning them a type. Relation extraction is often approached as a supervised classification problem, involving pre-processing steps such as text segmentation, entity ...
João L. M. Pereira +2 more
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INDREX: In-database relation extraction
Information Systems, 2015Abstract The management of text data has a long-standing history in the human mankind. A particular common task is extracting relations from text. Typically, the user performs this task with two separate systems, a relation extraction system and an SQL-based query engine for analytical tasks.
Torsten Kilias +2 more
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Relation Extraction and Validation Algorithm
2007Ontological concept Relation extraction is a difficult research problem. In this paper, we aim to extract multi-type relations from the text analyses and the existent relations (in the concept hierarchy). Our approach combines a verb centered method, lexical analyses, syntactic and statistic ones.
Lobna Karoui, Nabil El-Kadhi
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A Review and Outlook for Relation Extraction
Proceedings of the 5th International Conference on Computer Science and Application Engineering, 2021Yu Yan, Haolin Sun, Jie Liu 0022
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Deep Neural Approaches to Relation Triplets Extraction: a Comprehensive Survey
Cognitive Computation, 2021Tapas Nayak +2 more
exaly
Auxiliary Learning for Relation Extraction
IEEE Transactions on Emerging Topics in Computational Intelligence, 2022Shengfei Lyu +5 more
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Named Entity Recognition and Relation Extraction
ACM Computing Surveys, 2022Zara Nasar +2 more
exaly