Abstract: An information system provides a conversational knowledge base for responding to user queries. The information system incorporates contemporaneous advancements in NLP and deep learning to create the conversation knowledge base from its documents, which may be obtained from various sources. Domain-specific information is extracted and generated from the documents substantially without human intervention. From the domain-specific information, precise answers to synthesized questions are generated using transformer-based deep learning models.

Abstract: Reinforcement learning is applied in a multi-agent environment to enable effective determination of user intent classification from documents (e.g., chat, emails or another mode of communication by a user). Although different agents may implement different learning algorithms, they communicate with each other to learn and adjust their behavior by observing peer agents. Using a reinforcement learning (RL) framework, a method integrates each agent's prediction of user intent, as a sequence of tokens in the document are being analyzed. The method continues to refine its observation until it reaches the end of the document. This approach is more effective in uncovering refined linguistic features of words in the document, when read sequentially from start to end.

Abstract: Reinforcement learning is applied in a multi-agent environment to enable effective determination of user intent classification from documents (e.g., chat, emails or another mode of communication by a user). Although different agents may implement different learning algorithms, they communicate with each other to learn and adjust their behavior by observing peer agents. Using a reinforcement learning (RL) framework, a method integrates each agent's prediction of user intent, as a sequence of tokens in the document are being analyzed. The method continues to refine its observation until it reaches the end of the document. This approach is more effective in uncovering refined linguistic features of words in the document, when read sequentially from start to end.