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FIRE 2013

FIRE 2013. Quick facts. > 45 expert lectures in “FIRE expert lecture series” since 2008 29 groups from 18 countries downloaded FIRE data. >1500 people (members of the research groups) have accessed FIRE data Post Proceedings by LNCS, ACM TALIP, ACM DL Pain in the.

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FIRE 2013

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  1. FIRE 2013

  2. Quick facts • > 45 expert lectures in “FIRE expert lecture series” since 2008 • 29 groups from 18 countries downloaded FIRE data. • >1500 people (members of the research groups) have accessed FIRE data • Post Proceedings by LNCS, ACM TALIP, ACM DL • Pain in the

  3. 7 tracks • Shared Task on Transliterated Search • Morpheme Extraction Task (MET) • Cross-Language !ndian News Story Search (CL!NSS) • FAQ retrieval using Noisy Queries • Question Answering for the Spoken Web (QASW) • NER - Named-Entity Recognition Indian Languages • Information access in the legal domain

  4. Information Access from Big Data in the Legal Domain A new consortium has been formed and funded by : Internet Governance Group, DIT, Govt. of India • DAIICT, Gandhinagar • ISI, Kolkata • IRSI, Kolkata • NLUO, Cuttack

  5. Motivation of the project • 24 high courts and 600 district courts in India • Very large volumes of information in the legal domain • Difficult to access them in a meaningfull way • Big gap between the information producer and seeker

  6. Long-term goal • Technological aspect: • bridge between the providers and seekers of legal information • effectively access, navigate, and utilise the “big data” available • Legal aspect: Will address legal and policy bottlenecks in India (More in Mr. Pavan Duggals talk on 6th)

  7. Information access in the legal domain • A uniform, web-based interface to the legal information provided by various courts and judicial bodies of India. • Basic tools for the following Information Access (IA) tasks in the legal domain • text search at the document and sub-document level; • semantic annotation of legal documents; • summarisation of legal documents; • entity identification. • Application of Big Data Analytics to data in the Indian judicial system.

  8. Information access in the legal domain Large standardised benchmark datasets for evaluating Legal Information Access (LIA) systems and tools. FIRE endeavour will be supported by this project for next three years!

  9. Publications for 2013 • Working notes: 34 submissions • Post proceedings : • Peer reviewed enlarged version. • Will be published in ACM DL

  10. Sponsors! A big thank you to our sponsors. • Google, • MSR, • IBM IRL, • ACM SIGIR • DIT, Govt. Of India

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