Jan Deriu
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Zitiert von
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Swisscheese at semeval-2016 task 4: Sentiment classification using an ensemble of convolutional neural networks with distant supervision
J Deriu, M Gonzenbach, F Uzdilli, A Lucchi, VD Luca, M Jaggi
Proceedings of the 10th international workshop on semantic evaluation, 1124-1128, 2016
1202016
Leveraging large amounts of weakly supervised data for multi-language sentiment classification
J Deriu, A Lucchi, V De Luca, A Severyn, S Müller, M Cieliebak, ...
Proceedings of the 26th international conference on world wide web, 1045-1052, 2017
1162017
Survey on evaluation methods for dialogue systems
J Deriu, A Rodrigo, A Otegi, G Echegoyen, S Rosset, E Agirre, ...
Artificial Intelligence Review 54 (1), 755-810, 2021
792021
A twitter corpus and benchmark resources for german sentiment analysis
M Cieliebak, JM Deriu, D Egger, F Uzdilli
Proceedings of the Fifth International Workshop on Natural Language …, 2017
582017
Sentiment analysis using convolutional neural networks with multi-task training and distant supervision on italian tweets
JM Deriu, M Cieliebak
Fifth Evaluation Campaign of Natural Language Processing and Speech Tools …, 2016
182016
Syntactic manipulation for generating more diverse and interesting texts
JM Deriu, M Cieliebak
11th International Conference on Natural Language Generation (INLG 2018 …, 2018
13*2018
Twist bytes: German dialect identification with data mining optimization
F Benites de Azevedo e Souza, R Grubenmann, P von Däniken, ...
27th International Conference on Computational Linguistics (COLING 2018 …, 2018
92018
SwissAlps at SemEval-2017 task 3: Attention-based convolutional neural network for community question answering
JM Deriu, M Cieliebak
Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017
92017
Spot the bot: A robust and efficient framework for the evaluation of conversational dialogue systems
J Deriu, D Tuggener, P von Däniken, JA Campos, A Rodrigo, T Belkacem, ...
arXiv preprint arXiv:2010.02140, 2020
82020
Potential and limitations of cross-domain sentiment classification
JM Deriu, M Weilenmann, D Von Gruenigen, M Cieliebak
Proceedings of the Fifth International Workshop on Natural Language …, 2017
82017
DoQA--Accessing Domain-Specific FAQs via Conversational QA
JA Campos, A Otegi, A Soroa, J Deriu, M Cieliebak, E Agirre
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
72020
A Methodology for Creating Question Answering Corpora Using Inverse Data Annotation
J Deriu, K Mlynchyk, P Schläpfer, A Rodrigo, D Von Grünigen, N Kaiser, ...
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
62020
Towards a metric for automated conversational dialogue system evaluation and improvement
J Deriu, M Cieliebak
12th International Conference on Natural Language Generation, 432, 2019
32019
Conversational qa for faqs
JA Campos, A Otegi, A Soroa, J Deriu, M Cieliebak, E Agirre
3rd Conversational AI:“Today’s Practice and Tomorrow’s Potential” workshop …, 2019
32019
SB-CH: A Swiss German corpus with sentiment annotations
R Grubenmann, D Tuggener, P Von Däniken, JM Deriu, M Cieliebak
Proceedings of the Eleventh International Conference on Language Resources …, 2018
32018
Sentiment Analysis using Deep Convolutional Neural Networks with Distant Supervision
J Deriu
ETH-Zürich, 2016
32016
Fact-aware abstractive text summarization using a pointer-generator network
V Venzin, JM Deriu, O Didier, M Cieliebak
4th Swiss Text Analytics Conference (SwissText 2019), Winterthur, June 18-19 …, 2019
12019
TopicThunder at SemEval-2017 Task 4: Sentiment Classification Using a Convolutional Neural Network with Distant Supervision
S Müller, T Huonder, JM Deriu, M Cieliebak
Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017
12017
Towards understanding lifelong learning for dialogue systems
M Cieliebak, O Galibert, J Deriu
Increasing Naturalness and Flexibility in Spoken Dialogue Interaction: 10th …, 2021
2021
Matching words and knowledge graph entities with meta-embeddings
D Sileo, C Pradel, G Echegoyen, A Peña, A Otegi, J Deriu, M Cieliebak, ...
CNRS, 2019
2019
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