no code implementations • EMNLP (NLP-COVID19) 2020 • Arantxa Otegi, Jon Ander Campos, Gorka Azkune, Aitor Soroa, Eneko Agirre
In this paper we present a quantitative and qualitative analysis of the system.
no code implementations • LREC 2022 • Izaskun Aldezabal, Jose Mari Arriola, Arantxa Otegi
Terminology databases are highly useful for the dissemination of specialized knowledge.
1 code implementation • COLING 2020 • Jon Ander Campos, Kyunghyun Cho, Arantxa Otegi, Aitor Soroa, Gorka Azkune, Eneko Agirre
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.
no code implementations • ACL 2020 • Jon Ander Campos, Arantxa Otegi, Aitor Soroa, Jan Deriu, Mark Cieliebak, Eneko Agirre
We present DoQA, a dataset with 2, 437 dialogues and 10, 917 QA pairs.
no code implementations • 4 May 2020 • Jon Ander Campos, Arantxa Otegi, Aitor Soroa, Jan Deriu, Mark Cieliebak, Eneko Agirre
We present DoQA, a dataset with 2, 437 dialogues and 10, 917 QA pairs.
no code implementations • LREC 2020 • Arantxa Otegi, Aitor Agirre, Jon Ander Campos, Aitor Soroa, Eneko Agirre
Conversational Question Answering (CQA) systems meet user information needs by having conversations with them, where answers to the questions are retrieved from text.
no code implementations • 10 May 2019 • Jan Deriu, Alvaro Rodrigo, Arantxa Otegi, Guillermo Echegoyen, Sophie Rosset, Eneko Agirre, Mark Cieliebak
We cover each class by introducing the main technologies developed for the dialogue systems and then by presenting the evaluation methods regarding this class.
no code implementations • 14 Aug 2016 • Steven Neale, Valeria de Paiva, Arantxa Otegi, Alexandre Rademaker
Lexical semantics continues to play an important role in driving research directions in NLP, with the recognition and understanding of context becoming increasingly important in delivering successful outcomes in NLP tasks.
no code implementations • LREC 2016 • Arantxa Otegi, Nora Aranberri, Antonio Branco, Jan Haji{\v{c}}, Martin Popel, Kiril Simov, Eneko Agirre, Petya Osenova, Rita Pereira, Jo{\~a}o Silva, Steven Neale
This work presents parallel corpora automatically annotated with several NLP tools, including lemma and part-of-speech tagging, named-entity recognition and classification, named-entity disambiguation, word-sense disambiguation, and coreference.