6 papers
PDMR: Passage-Driven Multi-ID Document Retrieval
Smail Oussaidene, Mohand Boughanem
Generative Retrieval (GR) models map queries directly to document identifiers, replacing conventional retrieval over external sparse or dense indexes with autoregressive identifier…
Dynamic Context Selection for Retrieval-Augmented Generation: Mitigating Distractors and Positional Bias
Malika Iratni, Mohand Boughanem, Taoufiq Dkaki
Retrieval Augmented Generation (RAG) enhances language model performance by incorporating external knowledge retrieved from large corpora, which makes it highly suitable for tasks…
Exploring Large Language Models and Hierarchical Frameworks for Classification of Large Unstructured Legal Documents
Nishchal Prasad, Mohand Boughanem, Taoufiq Dkaki
Legal judgment prediction suffers from the problem of long case documents exceeding tens of thousands of words, in general, and having a non-uniform structure. Predicting judgments…
Exploring Semi-supervised Hierarchical Stacked Encoder for Legal Judgement Prediction
Nishchal Prasad, Mohand Boughanem, Taoufiq Dkaki
Predicting the judgment of a legal case from its unannotated case facts is a challenging task. The lengthy and non-uniform document structure poses an even greater challenge in ext…
A Hierarchical Neural Framework for Classification and its Explanation in Large Unstructured Legal Documents
Nishchal Prasad, Mohand Boughanem, Taoufik Dkaki
Automatic legal judgment prediction and its explanation suffer from the problem of long case documents exceeding tens of thousands of words, in general, and having a non-uniform st…
Ranking RDF Instances in Degree-decoupled RDF Graphs
Elisa S. Menendez, Marco A. Casanova, Mohand Boughanem +1
In the last decade, RDF emerged as a new kind of standardized data model, and a sizable body of knowledge from fields such as Information Retrieval was adapted to RDF graphs. One c…