17 hasil untuk "Filip Ginter"
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Artikel Jurnal
Dependency parsing of biomedical text with BERT
Abstract Background: Syntactic analysis, or parsing, is a key task in natural language processing and a required component for many text mining approaches. In recent years, Universal Dependencies (UD) has emerged as the leading formalism for dependency parsing. While a number of recent tasks…
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An autoencoder-based neural network model for selectional preference: evidence from pseudo-disambiguation and cloze tasks
…grammar. Kokkuvõte. Aki-Juhani Kyröläinen, M. Juhani Luotolahti ja Filip Ginter: Autokoodril põhinev närvivõrkude mudel valikulisel eelistamisel. Intuitiivselt tundub, et mõned argumendid sobivad teatud predikaatidega paremini kokku kui teised. Kasutuspõhised keelemudelid rõhutavad…
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The Long-Term Reuse of Text in the Finnish Press, 1771–1920
This paper is based on the study of text reuse in the Finnish press from 1771–1920. In the Computational History and the Transformation of Public Discourse in Finland (COMHIS) project, we found 61 million occurrences of similarity, which formed 13.8 million clusters of reuse. This material also…
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Annotated textual dataset PV600 of perovskite bandgaps for information extraction from literature
Abstract Scientific literature provides a variety of experimental and theoretical data which, if extracted, could offer new opportunities for data-driven discovery in materials research. Natural language processing (NLP) tools enable information extraction (IE) of structured information from…
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Question Answering models for information extraction from perovskite materials science literature
Abstract Scientific text is a promising source of data in materials science, with ongoing research into utilising textual data for materials discovery. In this study, we developed and tested a Question Answering (QA) approach to extract material-property relationships from scientific publications…
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Artikel Jurnal Teks lengkap
Finding novel relationships with integrated gene-gene association network analysis of Synechocystis sp. PCC 6803 using species-independent text-mining
The increasing move towards open access full-text scientific literature enhances our ability to utilize advanced text-mining methods to construct information-rich networks that no human will be able to grasp simply from ‘reading the literature’. The utility of text-mining for well-studied species…
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Dependency profiles as a tool for big data analysis of linguistic constructions: a case study of emoticons
…Laippala, Aki-Juhani Kyröläinen, Jenna Kanerva, Juhani Luotolahti ja Filip Ginter: Sõltuvusprofiilid kui vahend suurandmete keeleliste konstruktsioonide analüüsimiseks: uurimus emotikonidest. Uurimuses esitame metodoloogilise “tööriistakomplekti” keelekonstruktsioonide analüüsimiseks suurandmete…
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Deep Learning and Film History
We demonstrate the application of a deep-learning -based regressor, on a case study of predicting movie production year based on its plot summary. We show how the Integrated Gradients (IG) model explanation method can be used to attribute the predictions to individual input features and compare…
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Identifying gender bias in blockbuster movies through the lens of machine learning
Abstract The problem of gender bias is highly prevalent and well known. In this paper, we have analysed the portrayal of gender roles in English movies, a medium that effectively influences society in shaping people’s beliefs and opinions. First, we gathered scripts of films from different genres…
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Creating a Historical Migration Dataset from Finnish Church Records, 1800–1920
This article presents a large-scale effort to create a structured dataset of internal migration in Finland between 1800 and 1920 using digitized church moving records. These records, maintained by Evangelical-Lutheran parishes, document the migration of individuals and families and offer a valuable…
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Reconsidering Authorship in the Ciceronian Corpus through Computational Authorship Attribution
In recent years, methods of computational authorship attribution have offered promising results for the reattribution of classical texts. We use and further develop these methods to verify the authorship of several texts belonging or related to the Ciceronian corpus: Rhetorica ad C. Herennium, De…
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Artikel Jurnal Teks lengkap
Large-Scale Event Extraction from Literature with Multi-Level Gene Normalization
Text mining for the life sciences aims to aid database curation, knowledge summarization and information retrieval through the automated processing of biomedical texts. To provide comprehensive coverage and enable full integration with existing biomolecular database records, it is crucial that text…
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Assisting nurses in care documentation: from automated sentence classification to coherent document structures with subject headings
Abstract Background Up to 35% of nurses’ working time is spent on care documentation. We describe the evaluation of a system aimed at assisting nurses in documenting patient care and potentially reducing the documentation workload. Our goal is to enable nurses to write or dictate nursing notes in a…
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The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
Abstract Background The Critical Assessment of Functional Annotation (CAFA) is an ongoing, global, community-driven effort to evaluate and improve the computational annotation of protein function. Results Here, we report on the results of the third CAFA challenge, CAFA3, that featured an expanded…