research
∙
06/19/2023
Enhancing Documents with Multidimensional Relevance Statements in Cross-encoder Re-ranking
In this paper, we propose a novel approach to consider multiple dimensio...
share
research
∙
05/03/2023
Generating Synthetic Documents for Cross-Encoder Re-Rankers: A Comparative Study of ChatGPT and Human Experts
We investigate the usefulness of generative Large Language Models (LLMs)...
research
∙
03/02/2023
Retrieval for Extremely Long Queries and Documents with RPRS: a Highly Efficient and Effective Transformer-based Re-Ranker
Retrieval with extremely long queries and documents is a well-known and ...
research
∙
01/23/2023
Injecting the BM25 Score as Text Improves BERT-Based Re-rankers
In this paper we propose a novel approach for combining first-stage lexi...
research
∙
10/11/2022
On the Interpolation of Contextualized Term-based Ranking with BM25 for Query-by-Example Retrieval
Term-based ranking with pre-trained transformer-based language models ha...
research
∙
05/26/2022
LeiBi@COLIEE 2022: Aggregating Tuned Lexical Models with a Cluster-driven BERT-based Model for Case Law Retrieval
This paper summarizes our approaches submitted to the case law retrieval...
research
∙
01/19/2022
Expert Finding in Legal Community Question Answering
Expert finding has been well-studied in community question answering (QA...
research
∙
08/09/2021
DoSSIER@COLIEE 2021: Leveraging dense retrieval and summarization-based re-ranking for case law retrieval
In this paper, we present our approaches for the case law retrieval and ...
research
∙
09/23/2018