scholarly journals Improving Legal Information Retrieval by Distributional Composition with Term Order Probabilities

10.29007/2xzw ◽  
2018 ◽  
Author(s):  
Danilo S. Carvalho ◽  
Vu Tran ◽  
Khanh Van Tran ◽  
Nguyen Le Minh
Keyword(s):  
Information Retrieval ◽  
Question Answering ◽  
High Efficiency ◽  
Legal Information ◽  
Legal Professionals ◽  
Lexical Statistics ◽  
Term Order ◽  
Legal Document ◽  
N Gram ◽  
Analysis Of Error

Legal professionals worldwide are currently trying to get up-to-pace with the explosive growth in legal document availability through digital means. This drives a need for high efficiency Legal Information Retrieval (IR) and Question Answering (QA) methods. The IR task in particular has a set of unique challenges that invite the use of semantic motivated NLP techniques. In this work, a two-stage method for Legal Information Retrieval is proposed, combining lexical statistics and distributional sentence representations in the context of Competition on Legal Information Extraction/Entailment (COLIEE). The combination is done with the use of disambiguation rules, applied over the rankings obtained through n-gram statistics. After the ranking is done, its results are evaluated for ambiguity, and disambiguation is done if a result is decided to be unreliable for a given query. Competition and experimental results indicate small gains in overall retrieval performance using the proposed approach. Additionally, an analysis of error and improvement cases is presented for a better understanding of the contributions.

Indian Judgment Categorization for Practicing Similar Judgment Identification

2021 ◽  
pp. 232-241
Author(s):  
Jenish Dhanani ◽  
Rupa G. Mehta ◽  
Dipti P. Rana ◽  
Rahul Lad ◽  
Amogh Agrawal ◽  
...  
Keyword(s):  
Search Space ◽  
Automated System ◽  
Court Case ◽  
Criminal Cases ◽  
Legal Information ◽  
Law System ◽  
Legal Professionals ◽  
Related Information ◽  
Legal Document ◽  
Legal Domain

Recently, legal information retrieval has emerged as an essential practice for the legal fraternity. In the legal domain, judgment is a specific kind of legal document, which discusses case-related information and the verdict of a court case. In the common law system, the legal professionals exploit relevant judgments to prepare arguments. Hence, an automated system is a vital demand to identify similar judgments effectively. The judgments can be broadly categorized into civil and criminal cases, where judgments with similar case matters can have strong relevance compared to judgments with different case matters. In similar judgment identification, categorized judgments can significantly prune search space by restrictive search within a specific case category. So, this chapter provides a novel methodology that classifies Indian judgments in either of the case matter. Crucial challenges like imbalance and intrinsic characteristics of legal data are also highlighted specific to similarity analysis of Indian judgments, which can be a motivating aspect to the research community.

scholarly journals Overview of COLIEE 2017

10.29007/fm8f ◽  
2018 ◽  
Author(s):  
Yoshinobu Kano ◽  
Mi-Young Kim ◽  
Randy Goebel ◽  
Ken Satoh
Keyword(s):  
Information Retrieval ◽  
Information Extraction ◽  
Question Answering ◽  
Retrieval Task ◽  
Legal Information ◽  
Legal Question

We present the evaluation of the legal question answering Competition on Legal Information Extraction/Entailment (COLIEE) 2017. The COLIEE 2017 Task consists of two sub-Tasks: legal information retrieval (Task 1), and recognizing entailment between articles and queries (Task 2). Participation was open to any group based on any approach, and the tasks attracted 10 teams. We received 9 submissions to Task 1 (for a total of 17 runs), and 8 submissions to Task 2 (for a total of 20 runs).

scholarly journals Evaluation of Diversification Techniques for Legal Information Retrieval

Algorithms ◽  
2017 ◽  
Vol 10 (1) ◽  
pp. 22 ◽  
Author(s):  
Marios Koniaris ◽  
Ioannis Anagnostopoulos ◽  
Yannis Vassiliou
Keyword(s):  
Information Retrieval ◽  
Legal Information ◽  
Diversification Techniques

scholarly journals Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering

2019 ◽  
Author(s):  
Rajarshi Das ◽  
Ameya Godbole ◽  
Dilip Kavarthapu ◽  
Zhiyu Gong ◽  
Abhishek Singhal ◽  
...  
Keyword(s):  
Information Retrieval ◽  
Question Answering ◽  
Entity Centric

scholarly journals Multilingual Legal Information Retrieval System for Mapping Recitals and Normative Provisions

2020 ◽  
Author(s):  
Rohan Nanda ◽  
Llio Humphreys ◽  
Lorenzo Grossio ◽  
Adebayo Kolawole John
Keyword(s):  
Information Retrieval ◽  
Retrieval System ◽  
Information Retrieval System ◽  
Text Similarity ◽  
Legal Information ◽  
Additional Information ◽  
Eu Legislation ◽  
Multilingual Corpus ◽  
Eu Directives ◽  
Develop State

This paper presents a multilingual legal information retrieval system for mapping recitals to articles in European Union (EU) directives and normative provisions in national legislation. Such a system could be useful for purposive interpretation of norms. A previous work on mapping recitals and normative provisions was limited to EU legislation in English and only one lexical text similarity technique. In this paper, we develop state-of-the-art text similarity models to investigate the interplay between directive recitals, directive (sub-)articles and provisions of national implementing measures (NIMs) on a multilingual corpus (from Ireland, Italy and Luxembourg). Our results indicate that directive recitals do not have a direct influence on NIM provisions, but they sometimes contain additional information that is not present in the transposed directive sub-article, and can therefore facilitate purposive interpretation.

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