Artificial Intelligence for Legal Assistance
AILA 2019
- URL: https://sites.google.com/view/fire-2019-aila/
- Event Date: 2019-12-12 ~ 2019-12-15
- Abstract Submission Date: 2019-06-30
- Submission Date: 2019-07-15
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Artificial Intelligence for Legal Assistance (AILA 2019)
Website: https://sites.google.com/view/fire-2019-aila/
To be organized at FIRE 2019 (fire.irsi.res.in)
12 - 15 December, Indian Statistical Institute, Kolkata
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Task Description:
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The track consists of two sub-tasks. Both will consider Indian legal documents, i.e., Indian statutes and prior cases decided by the Indian courts of Law. You will be given a set of 50 queries, each of which describes a situation.
Task 1: Identifying relevant prior cases
We provide ~3000 case documents of cases that were judged in the Supreme Court of India. For each query, the task is to retrieve the most similar/relevant case document with respect to the situation in the given query.
Task 2: Identifying relevant statutes
We have identified a set of 197 statutes (Sections of Acts) from Indian law, that are relevant to some of the queries. We provide the title and description of these statutes. For each query, the task is to identify the most relevant statutes (from among the 197 statutes). Note that, the task can be modelled either as an unsupervised retrieval task (where you search for relevant statues) or as a supervised classification task (e.g., trying to predict for each statute whether it is relevant). For the latter, case documents provided for Task 1 can be utilised. However, if a team wishes to apply supervised models, then it is their responsibility to create the necessary training data.
Further details are available on the website: https://sites.google.com/view/fire-2019-aila/
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Timeline
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May 25 – Training Data Released
May 25 - Registrations open
June 30 – Test Data Release
July 15 - Run Submission Deadline
July 30 - Results Declared
August 31 - Working notes due
December 12-15 - FIRE 2019 takes place in Kolkata
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Organizers
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Paheli Bhattacharya, IIT Kharagpur
Kripabandhu Ghosh, TCS Research Pune
Saptarshi Ghosh, IIT Kharagpur
Arindam Pal, TCS Research and Innovation Kolkata
Parth Mehta, DA-IICT Gandhinagar
Arnab Bhattacharya, IIT Kanpur
Prasenjit Majumder, DA-IICT Gandhinagar
For regular updates subscribe to our mailing list: aila-fire@googlegroups.com
Artificial Intelligence for Legal Assistance (AILA 2019)
Website: https://sites.google.com/view/fire-2019-aila/
To be organized at FIRE 2019 (fire.irsi.res.in)
12 - 15 December, Indian Statistical Institute, Kolkata
----------------------------------------------------------------
----------------------
Task Description:
----------------------
The track consists of two sub-tasks. Both will consider Indian legal documents, i.e., Indian statutes and prior cases decided by the Indian courts of Law. You will be given a set of 50 queries, each of which describes a situation.
Task 1: Identifying relevant prior cases
We provide ~3000 case documents of cases that were judged in the Supreme Court of India. For each query, the task is to retrieve the most similar/relevant case document with respect to the situation in the given query.
Task 2: Identifying relevant statutes
We have identified a set of 197 statutes (Sections of Acts) from Indian law, that are relevant to some of the queries. We provide the title and description of these statutes. For each query, the task is to identify the most relevant statutes (from among the 197 statutes). Note that, the task can be modelled either as an unsupervised retrieval task (where you search for relevant statues) or as a supervised classification task (e.g., trying to predict for each statute whether it is relevant). For the latter, case documents provided for Task 1 can be utilised. However, if a team wishes to apply supervised models, then it is their responsibility to create the necessary training data.
Further details are available on the website: https://sites.google.com/view/fire-2019-aila/
------------
Timeline
------------
May 25 – Training Data Released
May 25 - Registrations open
June 30 – Test Data Release
July 15 - Run Submission Deadline
July 30 - Results Declared
August 31 - Working notes due
December 12-15 - FIRE 2019 takes place in Kolkata
----------------
Organizers
----------------
Paheli Bhattacharya, IIT Kharagpur
Kripabandhu Ghosh, TCS Research Pune
Saptarshi Ghosh, IIT Kharagpur
Arindam Pal, TCS Research and Innovation Kolkata
Parth Mehta, DA-IICT Gandhinagar
Arnab Bhattacharya, IIT Kanpur
Prasenjit Majumder, DA-IICT Gandhinagar
For regular updates subscribe to our mailing list: aila-fire@googlegroups.com
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