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A Survey on Relation Extraction
2017Relation extraction, as an important part of information extraction, can be used for many applications such as question-answering and knowledge base population. To thoroughly comprehend relation extraction, the paper reviews it mainly concentrating on its mainstream methods. Besides, open information extraction (OIE), as a different relation extraction
Meiji Cui +3 more
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Learning to Extract Relations for Relational Classification
2009Relational classifiers use relations between objects to predict the class values. In some cases the relations are explicitly given. In other cases the dataset contains implicit relations, e.g. the relation is hidden inside of noisy attribute values. To apply relational classifiers for this task, the relations have to be extracted.
Steffen Rendle +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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Review of entity relation extraction
Journal of Intelligent & Fuzzy Systems, 2023In today’s big data era, there are a large number of unstructured information resources on the web. Natural language processing researchers have been working hard to figure out how to extract useful information from them. Entity Relation Extraction is a crucial step in Information Extraction and provides technical support for Knowledge Graphs ...
Meimei Tuo, Wenzhong Yang
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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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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 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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On Relational Learning for Information Extraction
2012The extraction and integration of data from multiples sources are required in current companies which manage their business process by heterogeneous collaborating applications. However, integrating web applications is an arduous task because they are intended for human consumption and they do not provide APIs to access to their data automatically.Web ...
Patricia Jiménez +2 more
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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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Proceedings of the Language Resources and Evaluation Conference, 2008
Eduardo Blanco 0002 +2 more
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Eduardo Blanco 0002 +2 more
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