Abstract: Examples provide a system for generating document-based responses to user provided queries. The response generation component creates a set of generated utterances based on text associated with a set of sentences in at least one document. Each utterance in the set of generated utterances is assigned an intent. A filter component identifies at least one utterance from the set of generated utterances having a same intent as a user-provided utterance to form a set of filtered utterances. A selection component identifies one or more utterance(s) from the set of filtered utterances having a shortest distance from the user-provided utterance. If more than one utterance is identified, a weighted summarization response is output to the user based on a predefined answer to each utterance in the selected set of utterances.

Abstract: Examples provide a system for generating document-based responses to user provided queries. The response generation component creates a set of generated utterances based on text associated with a set of sentences in at least one document. Each utterance in the set of generated utterances is assigned an intent. A filter component identifies at least one utterance from the set of generated utterances having a same intent as a user-provided utterance to form a set of filtered utterances. A selection component identifies one or more utterance(s) from the set of filtered utterances having a shortest distance from the user-provided utterance. If more than one utterance is identified, a weighted summarization response is output to the user based on a predefined answer to each utterance in the selected set of utterances.

Abstract: Examples a system for customized travel planning management. The system extracts relevant travel-related data from travel-related provider contracts. The extracted relevant travel-related data and historical travel usage data are analyzed to calculate a market share for each provider. A booking manager identifies recommended travel-related provider pairs associated with a set of travel dates within a predetermined range of a user-selected preferred date of travel associated with a user-selected source-to-destination pair based on the calculated market share for each provider and user-provided travel preferences. The system books the user's selected accommodations provider and travel provided on a recommended booking date. An optimization component identifies recommended future negotiation terms associated with at least one provider in the set of travel-related providers based on the historical travel usage data, historical transaction data and historical contract compliance data.