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cs.CL2020
Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning
Jon Ander Campos, Kyunghyun Cho, Arantxa Otegi +3
The interaction of conversational systems with users poses an exciting opportunity for improving them after deployment, but little evidence has been provided of its feasibility. In…
cs.CL2020
DoQA -- Accessing Domain-Specific FAQs via Conversational QA
Jon Ander Campos, Arantxa Otegi, Aitor Soroa +3
The goal of this work is to build conversational Question Answering (QA) interfaces for the large body of domain-specific information available in FAQ sites. We present DoQA, a dat…
cs.CL2020
Give your Text Representation Models some Love: the Case for Basque
Rodrigo Agerri, Iñaki San Vicente, Jon Ander Campos +4
Word embeddings and pre-trained language models allow to build rich representations of text and have enabled improvements across most NLP tasks. Unfortunately they are very expensi…