Proceedings ArticleDOI
Context Sentences to Single Vector Compression using Convolutional Transformers for Deep Learning based NLG Tasks
TLDR
In this paper, a convolutional transformer-based NLG-based chatbot was used to identify people from their unique style of chatting in natural / casual conversations, which is able to capture these traits in conversation for short responses.Abstract:
In natural / casual conversations, people tend to have their own unique style of speaking/ chatting; certain phrases only they use, style of typing, customized grammar, nicknames etc. These ‘imperfections’ make the dialogue more human; we are able to identify people from their unique style of chatting. Conversational chatbots trained on clean text won't be able to capture these nuances. We propose a method to capture these quirks in the form of a chatbot with a novel NLG (Natural Language Generation) architecture; In the form of a convolutional transformer. WhatsApp chats between two users were cleaned and exported for training the model. The dataset had Unicode characters for foreign lexicon, emojis, and personalised grammar / texting patterns. The model is able to capture these traits in conversation for short responses.read more
Citations
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Proceedings ArticleDOI
Parkinson's Disease Classification using Quantile Transformation and RFE
TL;DR: In this paper, the authors focused on analyzing the characteristic feature selection with RFE on the Quantile transformed data for the regulation of voice analysis of PD systems, along with the use of various classifiers.
Proceedings ArticleDOI
Exploring the viability of Conversational AI for Non-Playable Characters: A comprehensive survey
TL;DR: In this article , the authors review the evolution, methodologies and uses cases of both non-playable characters and conversational AI and discuss the viability of fusing the two domains to enrich and potentially redefine NPC interactions via the sea of functionalities offered by conversational artificial intelligence.
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Multilingual Indian Language Neural Machine Translation System Using mT5 Transformer
TL;DR: In this article , a multilingual neural machine translation system for Indian languages based on the mT5 transformer, successfully utilized to develop multiple state-of-the-art NLP models, is presented.
Proceedings ArticleDOI
Multilingual Indian Language Neural Machine Translation System Using mT5 Transformer
TL;DR: In this article , a multilingual neural machine translation system for Indian languages based on the mT5 transformer, successfully utilized to develop multiple state-of-the-art NLP models, is presented.
References
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