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Distant Supervision Learning of DBPedia Relations
2013This paper presents DBPediaExtender, an information extraction system that aims at extending an existing ontology of geographical entities by extracting information from text. The system uses distant supervision learning – the training data is constructed on the basis of matches between values from infoboxes (taken from the Polish DBPedia) and ...
Marcin Zając, Adam Przepiórkowski
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DISTANT SUPERVISION FOR CANCER PATHWAY EXTRACTION FROM TEXT
Biocomputing 2015, 2014Biological pathways are central to understanding complex diseases such as cancer. The majority of this knowledge is scattered in the vast and rapidly growing research literature. To automate knowledge extraction, machine learning approaches typically require annotated examples, which are expensive and time-consuming to acquire. Recently, there has been
Hoifung, Poon +2 more
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ArabRelat: Arabic Relation Extraction using Distant Supervision
Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2015Relation Extraction is an important preprocessing task for a number of text mining applications, including: Information Retrieval, Question Answering, Ontology building, among others. In this paper, we propose a novel Arabic relation extraction method that leverages linguistic features of the Arabic language in Web data to infer relations ...
Khaled Nagi +2 more
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Distant Supervision for Chinese Temporal Tagging
2018Temporal tagging plays an important role in many tasks such as event extraction and reasoning. Extracting Chinese temporal expressions is challenging because of the diversity of time phrases in Chinese. Usually researchers use rule-based methods or learning-based methods to extract temporal expressions. Rule-based methods can often achieve good results
Hualong Zhang +3 more
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Similarity-based Distant Supervision for Definition Retrieval
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017Recognizing definition sentences from free text corpora often requires hand-crafted patterns or explicitly labeled training instances. We present a distant supervision approach addressing this challenge without using explicitly labeled data. We use plausibly good but imperfect definition sentences from Wikipedia as references to annotate sentences in a
Jiepu Jiang, James Allan
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Distant supervision for relation extraction with hierarchical attention-based networks
Expert Systems With Applications, 2023Jing Zhang
exaly