Results 41 to 50 of about 50 (50)
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Extraction and grammatical relations
Lingua, 1988Abstract The paper offers a new approach to extraction structures (topicalisation, wh -movement, etc.), in which all the work is done by grammatical relations. The analysis is based on Word Grammar, so the grammatical relations between the extracted item and its ‘true’ head are shown directly. The relations between its surface position and this word
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Research on Automatically Extraction of Term Relation Extraction
2009 Chinese Conference on Pattern Recognition, 20091. Knowledge Engineering center of Shenyang Institute of Aeronautical Engineering , ShenYang , 110034 E-mail: ysujn@163.com Abstract: Term relation extraction is the basis of automatically building the repository of terms. The current research about term relation extraction focuses on how to obtain effective characteristics of describing the ...
Shui Yu, Yu Bai, Duo Ji, Dongfeng Cai
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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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Automatic extraction of spatial relations
2005 Purtuguese Conference on Artificial Intelligence, 2005We present a method to extract semantic relations from text corpora in an unsupervised way and use the output as preprocessed material for the building of a virtual environment. The experiments have been carried out in the context of the Flemish OntoBasis project. We have used two small corpora.
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Relation Extraction Based on Relation Label Constraints
2020 IEEE 6th International Conference on Computer and Communications (ICCC), 2020Knowledge graphs have a significant role in promoting natural language processing tasks, and they have received substantial attention. The relation extractor is a key step in the construction of a knowledge graph, so it is important to improve its performance.
Chaoyi Yuan +3 more
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Document-level Relation Extraction with Relation Correlations
Neural NetworksDocument-level relation extraction faces two often overlooked challenges: long-tail problem and multi-label problem. Previous work focuses mainly on obtaining better contextual representations for entity pairs, hardly address the above challenges. In this paper, we analyze the co-occurrence correlation of relations, and introduce it into the document ...
Ridong Han +5 more
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REKER: Relation Extraction with Knowledge of Entity and Relation
2019Relation Extraction (RE) is an important task to mine knowledge from massive text corpus. Existing relation extraction methods usually purely rely on the textual information of sentences to predict the relations between entities. The useful knowledge of entity and relation is not fully exploited.
Hongyan Xu +5 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 ...
José Luis Álvarez +2 more
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