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PReLCaP : Precedence Retrieval from Legal Documents Using Catch Phrases
Precedence retrieval is the process of retrieving similar prior case documents for the given current case document in the legal domain. Referencing...
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CASRank: A ranking algorithm for legal statute retrieval
Unlike the courts in western countries, legal documents of the Indian judiciary are unstructured, verbose, and noisy. In the justice system, statutes...
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A Rapid Semi-automated Literature Review on Legal Precedents Retrieval
Precedents constitute the starting point of judges’ reasoning in national legal systems. Precedents are also an essential input for case-based... -
Improving Short Query Representation in LDA Based Information Retrieval Systems
Incorporation of topic modeling techniques into Information Retrieval (IR) systems has been a promising area of research in the last years.... -
Efficient multi-attribute precedence-based task scheduling for edge computing in geo-distributed cloud environment
In order to realize globalization of cloud computing, joint use of different services of different cloud providers has become an inevitable trend....
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Image retrieval based on AND/OR-construction models
With the rapid development of the Internet, finding desired images from numerous images has become an important research topic. In this paper, we...
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A bi-level optimization approach for joint rack sequencing and storage assignment in robotic mobile fulfillment systems
This paper studies a novel rack scheduling problem with multiple types of multiple storage locations (RS-MTMS), which can decide the retrieval...
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Harmonizing Case Retrieval and Adaptation with Alternating Optimization
Case-based reasoning (CBR) research has developed numerous methods for learning to improve case retrieval and adaptation knowledge. Learning for each... -
An in-depth analysis of passage-level label transfer for contextual document ranking
Pre-trained contextual language models such as BERT, GPT, and XLnet work quite well for document retrieval tasks. Such models are fine-tuned based on...
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DiscoLQA: zero-shot discourse-based legal question answering on European Legislation
The structures of discourse used by legal and ordinary languages share differences that foster technical issues when applying or fine-tuning...
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An Optimal Disassembly Sequence Planning for Complex Products using Enhanced Deep Reinforcement Learning Framework
Disassembly Sequence Planning (DSP) is a crucial problem in the field of repair and maintenance. There is a pressing need for an efficient technique...
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NOWJ@COLIEE 2024: Leveraging Advanced Deep Learning Techniques for Efficient and Effective Legal Information Processing
The constantly expanding volume of legal information presents a growing challenge for legal professionals to efficiently handle their workload.... -
Third Workshop on Augmented Intelligence in Technology-Assisted Review Systems (ALTARS)
In this third edition of the workshop on Augmented Intelligence in Technology-Assisted Review Systems (ALTARS), we focus on the capacity of building... -
A Miniscule and Self-Adaptive Autoregressive Dragonfly Optimization for Secrecy Conserved Data Publication in Mobile Cloud Computing
An intelligent system that improves the mobile apps that users may access from their mobile devices for a variety of tasks, Mobile Cloud Computing...
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Design of Cost Efficient VBIR Technique Using ICA and IVCA
With an emphasis on early-stage contrast agent transit through tumour vasculature, this study presents Adaptive Complex Independent Components...
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Bridging the gap: dual perception attention and local-global similarity fusion for cross-modal image-text matching
Current image-text matching methods implicitly align visual-semantic segments within images, and employ cross-modal attention mechanisms to discover...
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MWPRanker: An Expression Similarity Based Math Word Problem Retriever
Math Word Problems (MWPs) in online assessments help test the ability of the learner to make critical inferences by interpreting the linguistic... -
Introduction
The goal of text ranking is to generate an ordered list of texts retrieved from a corpus in response to a query for a particular task. The most... -
On the Refinement of Compensation-Based Semantics for Weighted Argumentation Frameworks
Acceptability semantics for the frameworks of weighted argumentation can satisfy up to one of the principles of (Quality Precedence), (Cardinality... -
Augmented Intelligence in Technology-Assisted Review Systems (ALTARS 2022): Evaluation Metrics and Protocols for eDiscovery and Systematic Review Systems
In this workshop, we aim to fathom the effectiveness of Technology-Assisted Review Systems from different viewpoints. In fact, despite the number of...