International Business Machines Corporation

Ganesh Ramakrishnan

Sachindra Joshi

L Venkata Subramaniam

Raghuram Krishnapuram

Sumit Negi

Tanveer Afzal Faruquie

Scott Holmes

Kiran Mehta

Nimit Kumar

A method () is disclosed of extracting factoids from text repositories, with the factoids being associated with a given factoid category. The method () starts by training a classifier () to recognize factoids relevant to that given factoid category. Documents or document summaries relevant to the given factoid category is next collected () from the text repositories. Sentences having a predetermined association to the given factoid category is extracted () from the documents or said document summaries. Those sentences are classified (), in a noisy environment, using the classifier () to extract snippets containing phrases relevant to the given factoid category. It is the extracted snippets that are the factoid associated with the given factoid category.

System and method for extraction of factoids from textual repositories

A method for determining a decision point in real-time for a data stream from a conversation includes receiving streaming conversational data; and determining when to classify the streaming conversational data, using a measure of certainty, by performing certainty calculations at a plurality of time instances during the conversation and by selecting a decision point in response to the certainty calculations, the decision point not being based on a fixed window of conversational data but being based on accumulated conversational data available at different ones of the plurality of time instances. Systems and computer program products are also provided.

Method and apparatus for determining decision points for streaming conversational data

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New Delhi, India

Ganesh Ramakrishnan