3 citations · 3 across the 3 of their papers we have counts for
5 papers
SUMBot: Summarizing Context in Open-Domain Dialogue Systems
Rui Ribeiro, Luísa Coheur
In this paper, we investigate the problem of including relevant information as context in open-domain dialogue systems. Most models struggle to identify and incorporate important k…
Onception: Active Learning with Expert Advice for Real World Machine Translation
Vânia Mendonça, Ricardo Rei, Luisa Coheur +1
Active learning can play an important role in low-resource settings (i.e., where annotated data is scarce), by selecting which instances may be more worthy to annotate. Most active…
Online Learning Meets Machine Translation Evaluation: Finding the Best Systems with the Least Human Effort
Vânia Mendonça, Ricardo Rei, Luisa Coheur +2
In Machine Translation, assessing the quality of a large amount of automatic translations can be challenging. Automatic metrics are not reliable when it comes to high performing sy…
Graph-Community Detection for Cross-Document Topic Segment Relationship Identification
Pedro Mota, Maxine Eskenazi, Luisa Coheur
In this paper we propose a graph-community detection approach to identify cross-document relationships at the topic segment level. Given a set of related documents, we automaticall…
Towards the Rapid Development of a Natural Language Understanding Module
Catarina Moreira, Ana Cristina Mendes, Luísa Coheur +1
When developing a conversational agent, there is often an urgent need to have a prototype available in order to test the application with real users. A Wizard of Oz is a possibilit…