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Open Intent Extraction from Natural Language Interactions Nikita VedulaNedim LipkaOhio State University vedula.5@osu.eduAdobe Research lipka@adobe.comPranav ManerikerSrinivasan ParthasarathyOhio State
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Open intent extraction is from the process of identifying and extracting the underlying intentions or goals from open-ended user queries or text.
Any organization or individual looking to analyze and understand the intentions behind open-ended text or queries may be required to file open intent extraction from.
Open intent extraction can be filled out by using natural language processing techniques to identify keywords, entities, and relationships in the text or queries.
The purpose of open intent extraction is to gain insights into the underlying intentions of users, which can be used for various applications such as sentiment analysis, recommendation systems, and chatbots.
The information reported on open intent extraction may include the identified intentions, keywords, entities, and relationships found in the text or queries.
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