Google Introduces Two New Datasets For Improved Conversational NLP

Conversational agents are a dialogue system through NLP to respond to a given query in human language. It leverages advanced deep learning measures and natural language understanding to reach a point where conversational agents can transcend simple chatbot responses and make them more contextual. Conversational AI encompasses three main areas of artificial intelligence research -- automatic speech recognition (ASR), natural language processing (NLP), and text-to-speech (TTS or speech synthesis). These dialogue systems are utilised to read from the input channel and then reply with the relevant response in graphics, speech, or haptic-assisted physical gestures via the output channel. Modern conversational models often struggle when confronted with temporal relationships or disfluencies.The capability of temporal reasoning in dialogs in massive pre-trained language models like T5 and GPT-3 is still largely under-explored.