activity
20192021
most citedQuery Generation for Patent Retrieval with Keyword Extraction based on Syntactic Features

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2021

Legal Search in Case Law and Statute Law

Julien Rossi, Evangelos Kanoulas

In this work we describe a method to identify document pairwise relevance in the context of a typical legal document collection: limited resources, long queries and long documents.…

cs.CL2021

VerbCL: A Dataset of Verbatim Quotes for Highlight Extraction in Case Law

Julien Rossi, Svitlana Vakulenko, Evangelos Kanoulas

Citing legal opinions is a key part of legal argumentation, an expert task that requires retrieval, extraction and summarization of information from court decisions. The identifica…

cs.CL20211 cited

Code Word Detection in Fraud Investigations using a Deep-Learning Approach

Youri van der Zee, Jan C. Scholtes, Marcel Westerhoud +1

In modern litigation, fraud investigators often face an overwhelming number of documents that must be reviewed throughout a matter. In the majority of legal cases, fraud investigat…

cs.IR2020

A Benchmark for Lease Contract Review

Spyretta Leivaditi, Julien Rossi, Evangelos Kanoulas

Extracting entities and other useful information from legal contracts is an important task whose automation can help legal professionals perform contract reviews more efficiently a…

cs.IR20191 cited

Query Generation for Patent Retrieval with Keyword Extraction based on Syntactic Features

Julien Rossi, Matthias Wirth, Evangelos Kanoulas

This paper describes a new method to extract relevant keywords from patent claims, as part of the task of retrieving other patents with similar claims (search for prior art). The m…