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Champion: Enrico Daga
Snr Project Officer: Data Science Group Email Icon Website Icon RDF Icon
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Participant(s):Enrico Motta

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Detects traces of listening experiences in texts

FindLEr detects traces of listening experiences in texts.

Users can provide a source book to scan and obtain as result a annotated version of the text where paragraphs mentioning potential listening experiences are highlighted. The user can browse the result as a list or inline with the original text. The system allows for additional tuning by offering a "skepticism" handle. See it in action: https://led.kmi.open.ac.uk/discovery

  • Faculty of Arts and Social Sciences - Music Department

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Software Developer (Grade 6)

Knowledge Media Institute (KMi)
£27,511 - £32,817
Based in Milton Keynes
Permanent Appointment

The Open University is the UK's largest university, a world leader in flexible part-time education combining a mission to widen access to higher education with research excellence, transforming lives...


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The Open University
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