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Entity Relationship Extraction Based on Potential Relationship Pattern
2010The keep rising of web information ensures the development of entity focused information retrieval system. However, the problem of mining the relationships effectively between entities has not been well resolved. For the entity relationship extraction (RE) problem, this paper firstly establishes the basic pattern trees which can present the overall ...
Chen Chen +4 more
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Extracting Term Relationships from Wikipedia
2013When looking at the relationship between two terms, we are not only interested on how much they are related, but how we may explain this relationship to the user. This is an open problem in ontology matching, but also in other tasks, from information retrieval to lexicography. In this paper, we propose a solution based on snippets taken from Wikipedia.
Brigitte Mathiak +2 more
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Structure–basicity relationships for pyridine extractants
Journal of Chemical Technology & Biotechnology, 1995AbstractTopological indices are determined for models of prospective pyridine extractants and the relationships structure–topological index and topological index–pyridine nitrogen basicity are described. The second order valence molecular connectivity index, the Balaban index and the Wiener number are appropriate structural descriptors of pyridine ...
Jan Szymanowski +2 more
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Semantics-based topic inter-relationship extraction
Journal of Intelligent & Fuzzy Systems, 2017Maintaining large collection of documents is an important problem in many areas of science and industry. Different analysis can be performed on large document collection with ease only if a short or reduced description can be obtained. Topic modeling offers a promising solution for this. Topic modeling is a method that learns about hidden themes from a
Menon, Remya R.K. +2 more
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Enhancing biomedical concept extraction using semantic relationship weights
International Journal of Data Mining and Bioinformatics, 2013Scientific publications are often associated with a set of keywords to describe their content. Automating the process of keyword extraction and assignment could be useful in indexing electronic documents and building digital libraries. In this paper we propose a new approach to biomedical Concept Extraction (CE) using semantic features of concept ...
Said, Bleik, Wei, Xiong, Min, Song
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Extracting Social Relationships from Social Software
2012We present an analytical approach to detect relationships between persons in the real world, such as friendship, rivalry, or others, out of the behavior of members in a social software system. In social software systems, users often evaluate submissions of other users. If these actions are somehow biased, we assume a personal relationship between these
Jürgen Dorn, Stefan Labitzke
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Relationship between Compost Stability and Extractable Organic Carbon
Journal of Environmental Quality, 2002ABSTRACTEstablishing a simple yet reliable compost stability test is essential for a better compost quality control and utilization efficiency. The objective of this study was to examine the relationship between extractable organic carbon (OC) and compost stability based on 18 compost samples from five composting facilities.
L, Wu, L Q, Ma
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Sequence Analysis for Relationship Pattern Extraction
2019Analysis of the relationship between a large number of sequences is a significant problem in many different applications such as business processes, sport, voting, weblogs, etc. Generally, studying relationship is based on clustering the sequences and creating a network of relationships.
Tomáš Martinovič +4 more
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Spatio-temporal relationships and video object extraction
Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284), 2002An object-based representation for video data can facilitate video search and content analysis. Detecting physical meaningful video object is a challenging open issue, and requires intelligent spatio-temporal segmentation and tracking. Normally, this is done through spatio-temporal segmentation and region tracking.
null Yining Deng, B.S. Manjunath
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Entity Relationship Extraction Based on BLSTM Model
2019 IEEE/ACIS 18th International Conference on Computer and Information Science (ICIS), 2019Entity relationship extraction is an important research topic in the field of NLP, which is to extract the relationship between two entities from natural language texts. Research shows that deep neural networks are feasible in the task of entity relation extraction and are superior to traditional relation extraction methods.
Minyong Shi, Jingyi Huang, Chunfang Li
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