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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 Page: 1 2 Hits 1 – 20 of 28 1 Are we summarizing the right way? : a survey of dialogue summarization data sets ... Tuggener, Don; Mieskes, Margot; Deriu, Jan Milan. - : Association for Computational Linguistics, 2021 BASE Show details 2 ZHAW-CAI : ensemble method for Swiss German speech to Standard German text ... Ulasik, Malgorzata Anna; Hürlimann, Manuela; Dubel, Bogumila. - : CEUR Workshop Proceedings, 2021 BASE Show details 3 ZHAW-InIT at GermEval 2020 task 4 : low-resource speech-to-text ... Büchi, Matthias; Ulasik, Malgorzata Anna; Hürlimann, Manuela. - : CEUR Workshop Proceedings, 2020 BASE Show details 4 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 5 ZHAW-InIT : social media geolocation at VarDial 2020 ... Benites De Azevedo E Souza, Fernando; Hürlimann, Manuela; Von Däniken, Pius. - : International Committee on Computational Linguistics (ICCL), 2020 BASE Show details 6 DoQA : accessing domain-specific FAQs via conversational QA ... Campos, Jon Ander; Otegi, Arantxa; Soroa, Aitor. - : Association for Computational Linguistics, 2020 BASE Show details 7 A methodology for creating question answering corpora using inverse data annotation ... Deriu, Jan Milan; Mlynchyk, Katsiaryna; Schläpfer, Philippe. - : Association for Computational Linguistics, 2020 BASE Show details 8 SwissNLP : the Swiss association for natural language processing position paper at Computational Linguistics European nAtional and Regional Associations Meeting (CLEARA-MEET) at LREC ... Hürlimann, Manuela; Cieliebak, Mark; Vogel, Manfred. - : ZHAW Zürcher Hochschule für Angewandte Wissenschaften, 2020 BASE Show details 9 Overview of the GermEval 2020 shared task on Swiss German language identification ... Von Däniken, Pius; Hürlimann, Manuela; Cieliebak, Mark. - : CEUR Workshop Proceedings, 2020 BASE Show details 10 TRANSLIT : a large-scale name transliteration resource ... Benites De Azevedo E Souza, Fernando; Duivesteijn, Gilbert François; Von Däniken, Pius. - : European Language Resources Association, 2020 BASE Show details 11 Correlating Twitter Language with Community-Level Health Outcomes Jaggi, Martin; Grubenmann, Ralf; Logean, Severine Rion... In: http://infoscience.epfl.ch/record/278185 (2020) BASE Show details 12 TwistBytes - identification of Cuneiform languages and German dialects at VarDial 2019 ... Benites De Azevedo E Souza, Fernando; Von Däniken, Pius; Cieliebak, Mark. - : Association for Computational Linguistics, 2019 BASE Show details 13 Towards integration of statistical hypothesis tests into deep neural networks ... Aghaebrahimian, Ahmad; Cieliebak, Mark. - : Association for Computational Linguistics, 2019 BASE Show details 14 Twist Bytes : German dialect identification with data mining optimization ... Benites De Azevedo E Souza, Fernando; Grubenmann, Ralf; Von Däniken, Pius. - : VarDial, 2018 BASE Show details 15 spMMMP at GermEval 2018 Shared Task: Classification of Offensive Content in Tweets using Convolutional Neural Networks and Gated Recurrent Units von Grünigen, Dirk; Benites, Fernando; Cieliebak, Mark... In: http://hw.oeaw.ac.at/8435-5 (2018) BASE Show details 16 Syntactic manipulation for generating more diverse and interesting texts ... Deriu, Jan Milan; Cieliebak, Mark. - : Association for Computational Linguistics, 2018 Abstract: Natural Language Generation plays an important role in the domain of dialogue systems as it determines how users perceive the system. Recently, deep-learning based systems have been proposed to tackle this task, as they generalize better and require less amounts of manual effort to implement them for new domains. However, deep learning systems usually adapt a very homogeneous sounding writing style which expresses little variation. In this work, we present our system for Natural Language Generation where we control various aspects of the surface realization in order to increase the lexical variability of the utterances, such that they sound more diverse and interesting. For this, we use a Semantically Controlled Long Short-term Memory Network (SCLSTM), and apply its specialized cell to control various syntactic features of the generated texts. We present an in-depth human evaluation where we show the effects of these surface manipulation on the perception of potential users. ... Keyword: 006 Spezielle Computerverfahren; 410.285 Computerlinguistik; Deep neural networks; Natural language generation; Natural language processing; Neural networks; Text embellishment URL: https://dx.doi.org/10.21256/zhaw-4875 https://digitalcollection.zhaw.ch/handle/11475/13074 BASE Hide details 17 SwissAlps at SemEval-2017 Task 3 : attention-based convolutional neural network for community question answering ... Deriu, Jan Milan; Cieliebak, Mark. - : Association for Computational Linguistics, 2017 BASE Show details 18 TopicThunder at SemEval-2017 Task 4 : sentiment classification using a convolutional neural network with distant supervision ... Müller, Simon; Huonder, Tobias; Deriu, Jan Milan. - : Association for Computational Linguistics, 2017 BASE Show details 19 Potential and limitations of cross-domain sentiment classification ... Von Grünigen, Dirk; Weilenmann, Martin; Deriu, Jan Milan. - : Association for Computational Linguistics, 2017 BASE Show details 20 A Twitter corpus and benchmark resources for german sentiment analysis ... Cieliebak, Mark; Deriu, Jan Milan; Egger, Dominic. - : Association for Computational Linguistics, 2017 BASE Show details Page: 1 2

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