Legal information retrieval a hybrid approach

1989 ◽  
Author(s):  
D. E. Rose ◽  
R. K. Belew
Keyword(s):  
Information Retrieval ◽  
Hybrid Approach ◽  
Legal Information

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 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.

Lexical Co-Occurrence and Contextual Window-Based Approach With Semantic Similarity for Query Expansion

2018 ◽  
pp. 1552-1575
Author(s):  
Jagendra Singh ◽  
Rakesh Kumar
Keyword(s):  
Information Retrieval ◽  
Semantic Similarity ◽  
Efficient Method ◽  
Query Expansion ◽  
Ad Hoc ◽  
Hybrid Approach ◽  
Information Retrieval System ◽  
Optimal Combination ◽  
Benchmark Datasets ◽  
Pseudo Feedback

Query expansion (QE) is an efficient method for enhancing the efficiency of information retrieval system. In this work, we try to capture the limitations of pseudo-feedback based QE approach and propose a hybrid approach for enhancing the efficiency of feedback based QE by combining corpus-based, contextual based information of query terms, and semantic based knowledge of query terms. First of all, this paper explores the use of different corpus-based lexical co-occurrence approaches to select an optimal combination of query terms from a pool of terms obtained using pseudo-feedback based QE. Next, we explore semantic similarity approach based on word2vec for ranking the QE terms obtained from top pseudo-feedback documents. Further, we combine co-occurrence statistics, contextual window statistics, and semantic similarity based approaches together to select the best expansion terms for query reformulation. The experiments were performed on FIRE ad-hoc and TREC-3 benchmark datasets. The statistics of our proposed experimental results show significant improvement over baseline method.

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
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