Results 31 to 40 of about 17,789,050 (310)
Prompt Language Learner with Trigger Generation for Dialogue Relation Extraction
Applied Sciences, 2023 Dialogue relation extraction identifies semantic relations between entity pairs in dialogues. This research explores a methodology harnessing the potential of prompt-based fine-tuning paired with a trigger-generation approach.
Jinsung Kim +3 more
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Using the Web to Reduce Data Sparseness in Pattern-based Information Extraction [PDF]
, 2007 Blohm S, Cimiano P. Using the Web to Reduce Data Sparseness in Pattern-based Information Extraction. In: Kok JN, Koronacki J, López de Mántaras R, Matwin S, Mladenic D, Skowron A, eds. Knowledge Discovery in Databases: PKDD 2007, 11th European Conference
Mladenic, Dunja +9 more
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AR2B: FORMALIZATION OF ARABIC TEXTS WITH EVENT-B
Jordanian Journal of Computers and Information Technology, 2020 Transforming natural software requirements into a more formal specification is difficult and may be an excellent application for natural language processing. This problem is not recent.
Kheira-Zineb Bousmaha Ossoukine +1 more
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Information extraction overview [PDF]
Proceedings of a workshop on held at Fredericksburg, Virginia September 19-23, 1993 -, 1993 The information explosion of the last decade has placed increasing demands on processing and analyzing large volumes of on-line data. In response, the Advanced Research Projects Agency (ARPA) has been supporting research to develop a new technology called information extraction. Information extraction is a type of document processing which captures and
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Extracting Information on Rocky Desertification from Satellite Images: A Comparative Study
Remote Sensing, 2021 Rocky desertification occurs in many karst terrains of the world and poses major challenges for regional sustainable development. Remotely sensed data can provide important information on rocky desertification.
Junwei Pu +4 more
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On the Marriage of Information Retrieval and Information Extraction [PDF]
Electronic Workshops in Computing, 1997 The techniques of information retrieval and information extraction are complementary, but to date there has been little work aimed at integrating the two. We describe how each of these techniques contributes to the process of transferring information from generator to user, summarise the issues which must be addressed if they are to work together, and ...
Alexander M. Robertson +1 more
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Tagging Named Entities in Croatian Tweets
Slovenščina 2.0: Empirične, aplikativne in interdisciplinarne raziskave, 2016 Named entity extraction tools designed for recognizing named entities in texts written in standard language (e.g., news stories or legal texts) have been shown to be inadequate for user-generated textual content (e.g., tweets, forum posts). In this work,
Krešimir Baksa +3 more
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Design and Construction of a NLP Based Knowledge Extraction Methodology in the Medical Domain Applied to Clinical Information [PDF]
Healthcare Informatics Research, 2018 ObjectivesThis research presents the design and development of a software architecture using natural language processing tools and the use of an ontology of knowledge as a knowledge base.MethodsThe software extracts, manages and represents the knowledge ...
Denis Cedeño Moreno +1 more
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Information extraction for the future [PDF]
Proceedings of the 5th conference on Message understanding - MUC5 '93, 1993 This broad topic session covered a range of ideas on challenges for the future, along with approaches to meeting these challenges. Although some discussion of matters of scale was common to all the presentations, the speakers offered different perspectives on how to achieve scale-up.
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Automatic content extraction and visualization of Thai websites for improved information representation [PDF]
, 2012 This paper presents an integrated approach to automatically provide an overview of content on Thai websites based on tag cloud. This approach is intended to address the information overload issue by presenting the overview to users in order that they ...
Wigrai Thanadechteemapat +3 more
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