Publications (25)
Prior Lessons of Incremental Dialogue and Robot Action Management for the Age of Language Models
Casey Kennington, Pierre Lison, David Schlangen
Efforts towards endowing robots with the ability to speak have benefited from recent advancements in natural language processing, in particular large language models. However, curr…
Retrieval-Augmented Neural Response Generation Using Logical Reasoning and Relevance Scoring
Nicholas Thomas Walker, Stefan Ultes, Pierre Lison
Constructing responses in task-oriented dialogue systems typically relies on information sources such the current dialogue state or external databases. This paper presents a novel…
Neural Text Sanitization with Privacy Risk Indicators: An Empirical Analysis
Anthi Papadopoulou, Pierre Lison, Mark Anderson +2
Text sanitization is the task of redacting a document to mask all occurrences of (direct or indirect) personal identifiers, with the goal of concealing the identity of the individu…
Bootstrapping Text Anonymization Models with Distant Supervision
Anthi Papadopoulou, Pierre Lison, Lilja Ãvrelid +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…
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…
Protecting De-identified Documents from Search-based Linkage Attacks
Pierre Lison, Mark Anderson
While de-identification models can help conceal the identity of the individuals mentioned in a document, they fail to address linkage risks, defined as the potential to map the de-…