DOMAIN-SPECIFIC LANGUAGE MODEL USING DOMAIN LITERATURE AND EXPERTS' SPOKEN LANGUAGE
Publication Date: 2017-Oct-20
The IP.com Prior Art Database
Techniques are provided to digitize and infer domain specific knowledge from conversations such as voice and video recordings. Existing Artificial Intelligence (AI) / Machine Learning (ML) algorithms and tools fail to provide an acceptable accuracy in transcription or semantic context generation. Described is a methodology to automate the process of building a Domain Language Model (DLM) using domain specific literature and experts' spoken language model. This improves the accuracy of transcription of audio and video to an acceptable level. The DLM may be used to infer knowledge from any form of customer conversations or any conversation recording, for use in conversational AI, bots, search, and troubleshooting assistants.