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Frontiers in Digital Health, 2022 This paper describes the identification of body function (BF) mentions within the clinical text within a large, national, heterogeneous corpus to highlight structural challenges presented by the clinical text.
Guy Divita +4 more
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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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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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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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Portable extraction of partially structured facts from the web [PDF]
, 2010 A novel fact extraction task is defined to fill a gap between current information retrieval and information extraction technologies. It is shown that it is possible to extract useful partially structured facts about different kinds of entities in a broad
Inguna Skadiņa +8 more
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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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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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An Information Extraction Customizer [PDF]
, 2014 When an information extraction system is applied to a new task or domain, we must specify the classes of entities and relations to be extracted. This is best done by a subject matter expert, who may have little training in NLP. To meet this need, we have developed a toolset which is able to analyze a corpus and aid the user in building the ...
Ralph Grishman, Yifan He 0006
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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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