Intent Classification

91 papers with code • 5 benchmarks • 13 datasets

Intent Classification is the task of correctly labeling a natural language utterance from a predetermined set of intents

Source: Multi-Layer Ensembling Techniques for Multilingual Intent Classification

Libraries

Use these libraries to find Intent Classification models and implementations

Most implemented papers

From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding

Kaleidophon/deep-significance NAACL 2021

To tackle the challenge, we propose a joint learning approach, with English SLU training data and non-English auxiliary tasks from raw text, syntax and translation for transfer.

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark

cbluebenchmark/cblue ACL 2022

Artificial Intelligence (AI), along with the recent progress in biomedical language understanding, is gradually changing medical practice.

CAPE: Context-Aware Private Embeddings for Private Language Learning

NapierNLP/CAPE EMNLP 2021

Deep learning-based language models have achieved state-of-the-art results in a number of applications including sentiment analysis, topic labelling, intent classification and others.

Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System

awslabs/pptod ACL 2022

Pre-trained language models have been recently shown to benefit task-oriented dialogue (TOD) systems.

Finstreder: Simple and fast Spoken Language Understanding with Finite State Transducers using modern Speech-to-Text models

Jaco-Assistant/finstreder 29 Jun 2022

In Spoken Language Understanding (SLU) the task is to extract important information from audio commands, like the intent of what a user wants the system to do and special entities like locations or numbers.

Z-BERT-A: a zero-shot Pipeline for Unknown Intent detection

gt4sd/zero-shot-bert-adapters 15 Aug 2022

In our evaluation, we first analyze the quality of the model after adaptive fine-tuning on known classes.

ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness

kinit-sk/crowd-vs-gpt-intent-class 22 May 2023

The emergence of generative large language models (LLMs) raises the question: what will be its impact on crowdsourcing?

Question Embeddings Based on Shannon Entropy: Solving intent classification task in goal-oriented dialogue system

Perevalov/intent_classifier 25 Mar 2019

The subject area of our system is very specific, that is why there is a lack of training data.

Structural Scaffolds for Citation Intent Classification in Scientific Publications

allenai/scicite NAACL 2019

Identifying the intent of a citation in scientific papers (e. g., background information, use of methods, comparing results) is critical for machine reading of individual publications and automated analysis of the scientific literature.