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SST-2, Irony, IronyB, TREC6, and SNIPS
The dataset used in this paper is SST-2, Irony, IronyB, TREC6, and SNIPS. -
Airline Travel Information System (ATIS) dataset
The ATIS dataset contains a set of flight schedule query sessions, each of which consists of a sequence of spoken queries (utterances). Each query contains automatic speech... -
CLINIC150 dataset
CLINIC150 dataset -
Speech model pre-training for end-to-end spoken language understanding
The Fluent Speech Commands (FSC) dataset is used for intent classification. -
SNIPS dataset
The SNIPS dataset encompasses seven distinct intents spanning across multiple domains. -
CLINIC dataset
The CLINIC dataset spans ten domains, encompassing a total of 22,500 in-scope queries categorized into 150 distinct intents. -
BANKING dataset
The BANKING dataset comprises 13,083 customer service queries in the banking domain, which are categorized into 77 unique intents. -
SNOiC: Soft Labeling and Noisy Mixup based Open Intent Classification Model
This paper presents a Soft Labeling and Noisy Mixup-based open intent classification model (SNOiC). Most of the previous works have used threshold-based methods to identify open... -
ATIS dataset
The ATIS dataset is a benchmark dataset for spoken language understanding, consisting of audio recordings and corresponding manual transcripts about humans asking for flight...
