Results 21 to 30 of about 50 (50)
Improving Neural Relation Extraction with Implicit Mutual Relations [PDF]
2020 IEEE 36th International Conference on Data Engineering (ICDE), 2020 Relation extraction (RE) aims at extracting the relation between two entities from the text corpora. It is a crucial task for Knowledge Graph (KG) construction. Most existing methods predict the relation between an entity pair by learning the relation from the training sentences, which contain the targeted entity pair.
KUANG, Jun +5 more
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Unsupervised Relation Extraction by Massive Clustering [PDF]
2009 Ninth IEEE International Conference on Data Mining, 2009 The goal of Information Extraction is to automatically generate structured pieces of information from the relevant information contained in text documents. Machine Learning techniques have been applied to reduce the cost of Information Extraction system adaptation.
González Pellicer, Edgar +1 more
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Improving Relation Extraction with Relational Paraphrase Sentences [PDF]
Proceedings of the 28th International Conference on Computational Linguistics, 2020 Supervised models for Relation Extraction (RE) typically require human-annotated training data. Due to the limited size, the human-annotated data is usually incapable of covering diverse relation expressions, which could limit the performance of RE. To increase the coverage of relation expressions, we may enlarge the labeled data by hiring annotators ...
Wei Zhang +4 more
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Extraction of Terms Related to Named Rivers [PDF]
Languages, 2019 EcoLexicon is a terminological knowledge base on environmental science, whose design permits the geographic contextualization of data. For the geographic contextualization of landform concepts, this paper presents a semi-automatic method for extracting terms associated with named rivers (e.g., Mississippi River). Terms were extracted from a specialized
Juan Rojas-Garcia, Pamela Faber
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Latent Relational Model for Relation Extraction
, 2019 Analogy is a fundamental component of the way we think and process thought. Solving a word analogy problem, such as mason is to stone as carpenter is to wood, requires capabilities in recognizing the implicit relations between the two word pairs. In this paper, we describe the analogy problem from a computational linguistics point of view and explore ...
Gaetano Rossiello +3 more
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Malpractice claims related to tooth extractions [PDF]
Clinical Oral Investigations, 2016 The aim of this study was to analyze malpractice claims related to tooth extractions in order to identify areas requiring emphasis and eventually to reduce the number of complications.We compiled a file of all malpractice claims related to tooth extractions (EBA code) between 1997 and 2010 from the Finnish Patient Insurance Centre. We then examined the
Koskela, Sanna +3 more
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Relation Extraction : A Survey
, 2017 With the advent of the Internet, large amount of digital text is generated everyday in the form of news articles, research publications, blogs, question answering forums and social media. It is important to develop techniques for extracting information automatically from these documents, as lot of important information is hidden within them.
Pawar, Sachin +2 more
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Extraction and Analysis of Facebook Friendship Relations [PDF]
, 2012 Online social networks (OSNs) are a unique web and social phenomenon, affecting tastes and behaviors of their users and helping them to maintain/create friendships. It is interesting to analyze the growth and evolution of online social networks both from the point of view of marketing and offer of new services and from a scientific viewpoint, since ...
Pasquale De Meo +5 more
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Applying Dependency Relations to Definition Extraction [PDF]
, 2014 Comunicació presentada a la International Conference on Applications of Natural Language to Data Bases/Information Systems celebrada del 18 al 20 de juny de 2014 a Montpellier, França. Definition Extraction (DE) is the task to automatically identify definitional knowledge in naturally-occurring text.
Espinosa-Anke, Luis, Saggion, Horacio
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Global alignment for relation extraction in Microbiology
, 2021 We investigate a method to extract relations from texts based on global alignment and syntactic information. Combined with SVM, this method is shown to have a performance comparable or even better than LSTM on two RE tasks.
Tang, Anfu +4 more
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