Results 21 to 30 of about 1,394,796 (266)
Extracting Proceedings Data from Court Cases with Machine Learning
Stats, 2022 France is rolling out an open data program for all court cases, but with few metadata attached. Reusers will have to use named-entity recognition (NER) within the text body of the case to extract any value from it.
Bruno Mathis
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Progress in information extraction [PDF]
Proceedings of a workshop on held at Vienna, Virginia May 6-8, 1996 -, 1996 This paper provides a quick summary of the following topics: enhancements to the PLUM information extraction engine, what we learned from MUC-6 (the Sixth Message Understanding Conference), the results of an experiment on merging templates from two different information extraction engines, a learning technique for named entity recognition, and towards ...
Ralph M. Weischedel +6 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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Big Data and Cognitive Computing, 2022 Social media is now regarded as the most valuable source of data for trend analysis and innovative business process reengineering preferences. Data made accessible through social media can be utilized for a variety of purposes, such as by an entrepreneur
Heru Susanto, Aida Sari, Fang-Yie Leu
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The complexity of information extraction [PDF]
IEEE Transactions on Information Theory, 1986 How difficult are decision problems based on natural data, such as pattern recognition? To answer this question, decision problems are characterized by introducing four measures defined on a Boolean function f of N variables: the implementation cost C(f), the randomness R(f), the deterministic entropy H(f), and the complexity K(f).
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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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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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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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