activity
20132023
most citedAutomatic Detection of Malware-Generated Domains with Recurrent Neural Models

59 citations · 112 across the 9 of their papers we have counts for

collaborators

11 papers

cs.CR2023★ 3 cited

Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database

Anders Mølmen Høst, Pierre Lison, Leon Moonen

Knowledge graphs have shown promise for several cybersecurity tasks, such as vulnerability assessment and threat analysis. In this work, we present a new method for constructing a…

cs.AI2023★ 1 cited

Who's in Charge? Roles and Responsibilities of Decision-Making Components in Conversational Robots

Pierre Lison, Casey Kennington

Software architectures for conversational robots typically consist of multiple modules, each designed for a particular processing task or functionality. Some of these modules are d…

cs.CL2022★ 3 cited

GraphWOZ: Dialogue Management with Conversational Knowledge Graphs

Nicholas Thomas Walker, Stefan Ultes, Pierre Lison

We present a new approach to dialogue management using conversational knowledge graphs as core representation of the dialogue state. To this end, we introduce a new dataset, GraphW…

cs.CL2022

Bootstrapping Text Anonymization Models with Distant Supervision

Anthi Papadopoulou, Pierre Lison, Lilja Øvrelid +1

We propose a novel method to bootstrap text anonymization models based on distant supervision. Instead of requiring manually labeled training data, the approach relies on a knowled…

cs.CL2022★ 5 cited

The Text Anonymization Benchmark (TAB): A Dedicated Corpus and Evaluation Framework for Text Anonymization

Ildikó Pilán, Pierre Lison, Lilja Øvrelid +3

We present a novel benchmark and associated evaluation metrics for assessing the performance of text anonymization methods. Text anonymization, defined as the task of editing a tex…

cs.CL2021★ 25 cited

skweak: Weak Supervision Made Easy for NLP

Pierre Lison, Jeremy Barnes, Aliaksandr Hubin

We present skweak, a versatile, Python-based software toolkit enabling NLP developers to apply weak supervision to a wide range of NLP tasks. Weak supervision is an emerging machin…