Abstract
In legal information retrieval, query cooking can significantly improve recall and precision.
Context free grammars can be used to effectively parse user queries, even if the number of items to
recognize is high and recognition patterns are complicated.
Context free grammars can be used to effectively parse user queries, even if the number of items to
recognize is high and recognition patterns are complicated.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the First international Workshop on Information Retrieval |
| Editors | Suzan Verberne, Evangelas Kanoulas, Gineke Wiggers, Florina Piroi, Arjen P. de Vries |
| Place of Publication | Dublin |
| Number of pages | 4 |
| Publication status | Published - 2 Apr 2023 |
| Event | The first international workshop on Legal Information Retrieval : To be held at ECIR 2023, in Dublin, April 2nd, 2023 - Radisson Blu Hotel, Dublin, Ireland Duration: 2 Apr 2023 → 2 Apr 2023 https://tmr.liacs.nl/legalIR/ |
Workshop
| Workshop | The first international workshop on Legal Information Retrieval |
|---|---|
| Abbreviated title | LegalIR 2023 |
| Country/Territory | Ireland |
| City | Dublin |
| Period | 2/04/23 → 2/04/23 |
| Internet address |
Bibliographical note
Text Mining and Retrieval Leiden (TMRL) is an inter-facultary research group at Leiden University with its core in the Data Science research programme.© 2023 Copyright held by the owner/author(s).