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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 4 of 4 1 Spot The Bot : a robust and efficient framework for the evaluation of conversational dialogue systems ... Deriu, Jan Milan; Tuggener, Don; Von Däniken, Pius. - : Association for Computational Linguistics, 2020 BASE Show details 2 DoQA : accessing domain-specific FAQs via conversational QA ... Campos, Jon Ander; Otegi, Arantxa; Soroa, Aitor; Deriu, Jan Milan; Cieliebak, Mark; Agirre, Eneko. - : Association for Computational Linguistics, 2020 Abstract: 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 dataset with 2,437 dialogues and 10,917 QA pairs. The dialogues are collected from three Stack Exchange sites using the Wizard of Oz method with crowdsourcing. Compared to previous work, DoQA comprises well-defined information needs, leading to more coherent and natural conversations with less factoid questions and is multi-domain. In addition, we introduce a more realistic information retrieval (IR) scenario where the system needs to find the answer in any of the FAQ documents. The results of an existing, strong, system show that, thanks to transfer learning from a Wikipedia QA dataset and fine tuning on a single FAQ domain, it is possible to build high quality conversational QA systems for FAQs without in-domain training data. The good results carry over into the more challenging IR scenario. In both cases, there is still ample room ... Keyword: 006 Spezielle Computerverfahren; 400 Sprache und Linguistik; Deep learning; Natural language processing; Question answering URL: https://digitalcollection.zhaw.ch/handle/11475/20320 https://dx.doi.org/10.21256/zhaw-20320 BASE Hide details 3 Give your Text Representation Models some Love: the Case for Basque ... Agerri, Rodrigo; Vicente, Iñaki San; Campos, Jon Ander. - : arXiv, 2020 BASE Show details 4 Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning ... The 28th International Conference on Computational Linguistics 2020; Agirre, Eneko; Azkune, Gorka. - : Underline Science Inc., 2020 BASE Show details

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