Papers with Code · CC BY-SA 4.0
Intent Detection
Intent Detection is a task of determining the underlying purpose or goal behind a user's search query given a context. The task plays a significant role in search and recommendations. A traditional approach for intent detection implies using an intent detector model to classify user search query into predefined intent categories, given a context. One of the key challenges of the task implies identifying user intents for cold-start sessions, i.e., search sessions initiated by a non-logged-in or unrecognized user.
<span class="description-source">Source: Analyzing and Predicting Purchase Intent in E-commerce: Anonymous vs. Identified Customers</span> <span class="description-source">
데이터셋
36개ATISMixSNIPSMixATISSNIPSASOS.com user intentBANKING-77 (50% known)BANKING-77 (75% known)BANKING77BANKING77 (25%known)OOS(25%known)OOS(50%known)OOS(75%known)ATIS (25% known)ATIS (50% known)ATIS (vi)BANKING77 10-shotBANKING77 5-shotBanking_CGCAISCLINC150CLINC150 10-shotCLINC150 5-shotDialogue State Tracking ChallengeHWU64HWU64 10-shotHWU64 5-shotMULTIWOZ 2.2OOS_CGProSLUSNIPS (25% known)