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61
User-friendly automatic transcription of low-resource languages: Plugging ESPnet into Elpis
In: ComputEL-4: Fourth Workshop on the Use of Computational Methods in the Study of Endangered Languages ; https://halshs.archives-ouvertes.fr/halshs-03030529 ; 2020 ; https://computel-workshop.org/ (2020)
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62
Eines computacionals per a la creació i explotació de corpus orals en català
In: Zeitschrift für Katalanistik. - Freiburg : Romanisches Seminar der Universität 33 (2020), 131-154
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63
El mejor conjunto de datos para identificación del sarcasmo ...
Hämäläinen, Mika. - : https://b2share.eudat.eu, 2020
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64
Finnish Words and their Concreteness Values ...
Hämäläinen, Mika; Alnajjar, Khalid. - : https://b2share.eudat.eu, 2020
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65
Murre - Normalize non-standard Finnish and dialectalize standard Finnish ...
Hämäläinen, Mika; Partanen, Niko; Rueter, Jack. - : https://b2share.eudat.eu, 2020
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66
Finnish Semantic Relatedness Model ...
Hämäläinen, Mika; Alnajjar, Khalid. - : https://b2share.eudat.eu, 2020
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67
Skolt Sami - North Sami Cognates ...
Hämäläinen, Mika; Rueter, Jack. - : https://b2share.eudat.eu, 2020
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68
Model for Normalizing Historical English ...
Hämäläinen, Mika; Säily, Tanja; Rueter, Jack. - : https://b2share.eudat.eu, 2020
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69
Finnish Dialect Normalization Model ...
Partanen, Niko; Hämäläinen, Mika; Alnajjar, Khalid. - : https://b2share.eudat.eu, 2020
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70
Model of English OCR Post-Correction ...
Hämäläinen, Mika; Hengchen, Simon. - : https://b2share.eudat.eu, 2020
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71
FinMeter - Tools for assessing Finnish poetry ...
Hämäläinen, Mika; Alnajjar, Khalid. - : https://b2share.eudat.eu, 2020
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72
Movie Title Puns ...
Hämäläinen, Mika; Alnajjar, Khalid. - : https://b2share.eudat.eu, 2020
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73
Natas - Python 3 library for processing historical English ...
Hämäläinen, Mika; Hengchen, Simon; Säily, Tanja. - : https://b2share.eudat.eu, 2020
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74
ZHAW-InIT at GermEval 2020 task 4 : low-resource speech-to-text ...
Büchi, Matthias; Ulasik, Malgorzata Anna; Hürlimann, Manuela. - : CEUR Workshop Proceedings, 2020
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75
ПРИМЕНЕНИЕ ТЕХНОЛОГИИ WORD2VEC В ЗАДАЧЕ ВЫДЕЛЕНИЯ ИНВЕРТОРОВ ТОНАЛЬНОСТИ ... : APPLYING WORD2VEC TECHNOLOGY TO SHIFTER EXTRACTION TASK ...
Полозов, И.К.; Волкова, И.А.. - : Международный научно-исследовательский журнал, 2020
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76
Natural language understanding in argumentative dialogue systems ...
Shigehalli, Pavan Rajashekhar. - : Universität Ulm, 2020
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77
Automatic Poetry Classification and Chronological Semantic Analysis ...
Rahgozar, Arya. - : Université d'Ottawa / University of Ottawa, 2020
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78
Human group coordination in a sensorimotor task with neuron-like decision-making ...
Schmid, Gerrit; Braun, Daniel Alexander. - : Universität Ulm, 2020
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79
Spot The Bot : a robust and efficient framework for the evaluation of conversational dialogue systems ...
Abstract: The lack of time efficient and reliable evaluation methods is hampering the development of conversational dialogue systems (chat bots). Evaluations that require humans to converse with chat bots are time and cost intensive, put high cognitive demands on the human judges, and tend to yield low quality results. In this work, we introduce Spot The Bot, a cost-efficient and robust evaluation framework that replaces human-bot conversations with conversations between bots. Human judges then only annotate for each entity in a conversation whether they think it is human or not (assuming there are humans participants in these conversations). These annotations then allow us to rank chat bots regarding their ability to mimic conversational behaviour of humans. Since we expect that all bots are eventually recognized as such, we incorporate a metric that measures which chat bot is able to uphold human-like behavior the longest, i.e.Survival Analysis. This metric has the ability to correlate a bot’s performance to certain ...
Keyword: 410.285 Computerlinguistik; Chatbot; Dialogue system; Natural language processing
URL: https://dx.doi.org/10.21256/zhaw-21229
https://digitalcollection.zhaw.ch/handle/11475/21229
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80
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
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