NLP-KG
Semantic Search

Field of Study:

Slot Filling

Slot filling is a concept used in various applications, particularly in chatbots, virtual assistants, and information extraction systems. It involves identifying and extracting specific pieces of information, known as "slots," from unstructured text or user input. These slots typically correspond to specific categories or entities, such as dates, names, locations, or any other predefined information. For instance, when a user queries for nearby restaurants, key slots for location and preferred food are required for a dialog system to retrieve the appropriate information. Thus, the main challenge in the slot-filling task is to extract the target entity.

Synonyms:

Semantic Role Labeling, Shallow Semantic Parsing, SRL

Papers published in this field over the years:

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