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User-friendly automatic transcription of low-resource languages: Plugging ESPnet into Elpis
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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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El mejor conjunto de datos para identificación del sarcasmo ...
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Murre - Normalize non-standard Finnish and dialectalize standard Finnish ...
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Natas - Python 3 library for processing historical English ...
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ZHAW-InIT at GermEval 2020 task 4 : low-resource speech-to-text ...
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ПРИМЕНЕНИЕ ТЕХНОЛОГИИ WORD2VEC В ЗАДАЧЕ ВЫДЕЛЕНИЯ ИНВЕРТОРОВ ТОНАЛЬНОСТИ ... : APPLYING WORD2VEC TECHNOLOGY TO SHIFTER EXTRACTION TASK ...
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Natural language understanding in argumentative dialogue systems ...
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Automatic Poetry Classification and Chronological Semantic Analysis ...
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Human group coordination in a sensorimotor task with neuron-like decision-making ...
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Spot The Bot : a robust and efficient framework for the evaluation of conversational dialogue systems ...
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Deriu, Jan Milan; Tuggener, Don; Von Däniken, Pius; Campos, Jon Ander; Rodrigo, Alvaro; Belkacem, Thiziri; Soroa, Aitor; Agirre, Eneko; Cieliebak, Mark. - : Association for Computational Linguistics, 2020
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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 ...
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Keyword:
410.285 Computerlinguistik; Chatbot; Dialogue system; Natural language processing
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URL: https://dx.doi.org/10.21256/zhaw-21229 https://digitalcollection.zhaw.ch/handle/11475/21229
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