Natural language embellishment generation and summarization for question-answering systems
Abstract:
Systems and methods are disclosed for augmenting or summarizing an information processing task in a bilateral Q&A format. An initial query is received from an analyst user to conduct an analysis on user-provided data attributes. A primary result is generated from processing the initial query. In addition, defined data attributes associated with the primary result are ranked to create relevant follow-up queries. A summary of the primary result, using both graphical representations and natural language summaries, are provided to the analyst user. The relevant follow-up queries can also be provided to the analyst user, thereby progressing a contextually-based conversation regarding the data. The analytics session can progress as the user traverses the results and follow-up queries, until the user terminates the session or all relevant follow-up queries are exhausted. A concise narrative of the session with varying levels of detail specified by the user is presented in natural language to provide the analyst user with a relevant summary of the performed analysis.
Information query
Patent Agency Ranking
0/0