Results 31 to 40 of about 50 (50)
Temporal Relation Extraction in Clinical Texts [PDF]
, 2022 Unstructured data in electronic health records, represented by clinical texts, are a vast source of healthcare information because they describe a patient's journey, including clinical findings, procedures, and information about the continuity of care.
Gumiel, Yohan Bonescki +6 more
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Document-level Relation Extraction with Relation Correlations
, 2022 Document-level relation extraction faces two 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 DocRE task for the ...
Han, Ridong +4 more
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RELATION EXTRACTION DATASET FOR THE RUSSIAN
Computational Linguistics and Intellectual Technologies, 2020 There are few existing relation extraction datasets for the Russian language and they contain a rather small number of examples. Thus, we decided to create a new Ontonotes-based named entities and relation extraction sentence-level dataset called RURED. The dataset contains more than 500 annotated texts and more than 5,000 labelled relations.
Ranepa, Moscow, Russia +5 more
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Relation of the Relations: A New Paradigm of the Relation Extraction Problem
, 2020 Passed the reviews of EMNLP; withdrawn for non-technical ...
Jin, Zhijing +3 more
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SECRETIN AND PANCREATIC EXTRACT IN RELATION TO DIABETES. [PDF]
The Lancet, 1907 n ...
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Extracting Hohfeldian Relations from Text
, 2015 This paper presents a semi-automatic methodology and application for identifying the Hohfeldian relation Duty in legal text, using the General Architecture for Text Engineering tool for the automated extraction of Duty instances and its associated roles. The method incrementally supports scholars in their interpretation.
Adam Wyner, Wim Peters
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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.
Karoui, Lobna, El Kadhi, Nabil
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A Relational Framework for Information Extraction
ACM SIGMOD Record, 2016Information Extraction commonly refers to the task of populating a relational schema, having predefined underlying semantics, from textual content. This task is pervasive in contemporary computational challenges associated with Big Data. In this article we provide an overview of our work on document spanners--a relational framework for Information ...
Fagin, Ronald +3 more
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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
Zhihong Wang +3 more
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