TZOS: an Online Terminology Database Aimed at Working on Basque Academic Terminology Collaboratively

no code implementations • LREC 2022 • Izaskun Aldezabal, Jose Mari Arriola, Arantxa Otegi

Terminology databases are highly useful for the dissemination of specialized knowledge.

Automatic Evaluation vs. User Preference in Neural Textual QuestionAnswering over COVID-19 Scientific Literature

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.

Information Retrieval Question Answering +2

Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning

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.

Conversational Question Answering Document Classification

DoQA - Accessing Domain-Specific FAQs via Conversational QA

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.

Conversational Question Answering Information Retrieval +2

DoQA -- Accessing Domain-Specific FAQs via Conversational QA

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.

Conversational Question Answering Information Retrieval +2

Conversational Question Answering in Low Resource Scenarios: A Dataset and Case Study for Basque

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.

Conversational Question Answering Cross-Lingual Transfer

Survey on Evaluation Methods for Dialogue Systems

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.

Question Answering Task-Oriented Dialogue Systems

Proceedings of the LexSem+Logics Workshop 2016

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.

Entity Disambiguation Open Information Extraction +3

QTLeap WSD/NED Corpora: Semantic Annotation of Parallel Corpora in Six Languages

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.

Cross-Lingual Transfer Entity Disambiguation +9