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 Evaluation of Diversification Techniques for Legal Information Retrieval

2016 ◽  
Author(s):  
Marios Koniaris ◽  
Ioannis Anagnostopoulos ◽  
Yannis Vassiliou
Keyword(s):  
Information Retrieval ◽  
User Satisfaction ◽  
Web Search ◽  
Free Access ◽  
Data Set ◽  
Legal Information ◽  
Standard Data ◽  
Relevance Judgments ◽  
The Common ◽  
Diversification Techniques

"Public legal information from all countries and international institutions is part of the common heritage of humanity. Maximizing access to this information promotes justice and the rule of law". In accordance with the aforementioned declaration on Free Access to Law by Legal information institutes of the world, a plethora of legal information is available through the Internet, while the provision of legal information has never before been easier. Given that law is accessed by a much wider group of people, the majority of whom are not legally trained or qualified, diversification techniques, should be employed in the context of legal information retrieval, as to increase user satisfaction. We address diversification of results in legal search by adopting several state of the art methods from the web search, network analysis and text summarization domains. We provide an exhaustive evaluation of the methods, using a standard data set from the Common Law domain that we subjectively annotated with relevance judgments for this purpose. Our results i) reveal that users receive broader insights across the results they get from a legal information retrieval system, ii) demonstrate that web search diversification techniques outperform other approaches (e.g., summarization-based, graph-based methods) in the context of legal diversification and iii) offer balance boundaries between reinforcing relevant documents or sampling the information space around the legal query.

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.

Passage-Based Text Summarization for Legal Information Retrieval

2019 ◽  
Vol 44 (11) ◽  
pp. 9159-9169
Author(s):  
Ambedkar Kanapala ◽  
Srikanth Jannu ◽  
Rajendra Pamula
Keyword(s):  
Information Retrieval ◽  
Text Summarization ◽  
Legal Information

scholarly journals Similarity analysis of court judgments using clustering of case citation data: a study

2018 ◽  
Vol 7 (2) ◽  
pp. 855
Author(s):  
Disna Davis Kachappilly ◽  
Rupali Sunil Wagh
Keyword(s):  
Information Retrieval ◽  
Data Clustering ◽  
Legal Information ◽  
Knowledge Based ◽  
Retrieval Systems ◽  
Requirements Clustering ◽  
Information Retrieval Systems ◽  
Legal Domain ◽  
Using Data ◽  
Automatic Mechanism

Information retrieval (IR) is an automatic mechanism to extract required information from a collection of unstructured or semi-structured data. IR systems minimize the effort of a user to locate the information based on the requirements. Clustering of documents is carried out as a preprocessing step for filtering irrelevant information in an IR system. Legal domain is a producer as well as consumer of huge in-formation which also contains invaluable legal knowledge and its interpretation. Knowledge based legal information retrieval systems is need of the day. Citation analysis is a technique to find the hidden relationships between the documents and is used for understanding knowledge transfer across various domains and hence becomes very important in legal domain. In this study, similarities among documents are analyzed using data clustering when applied on data of citations in court judgments.

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