Intent Detection

106 papers with code • 17 benchmarks • 20 datasets

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.

Source: Analyzing and Predicting Purchase Intent in E-commerce: Anonymous vs. Identified Customers

Libraries

Use these libraries to find Intent Detection models and implementations

ReCoMIF: Reading comprehension based multi-source information fusion network for Chinese spoken language understanding

1053399472/CAISandSMP journal 2023

It usually includes slot filling and intent detection (SFID) tasks aiming at semantic parsing of utterances.

5
01 Aug 2023

Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training

hdzhang-code/dftplus 8 Jun 2023

We consider the task of few-shot intent detection, which involves training a deep learning model to classify utterances based on their underlying intents using only a small amount of labeled data.

1
08 Jun 2023

Tri-level Joint Natural Language Understanding for Multi-turn Conversational Datasets

adlnlp/tri-nlu 28 May 2023

We present a novel tri-level joint natural language understanding approach, adding domain, and explicitly exchange semantic information between all levels.

1
28 May 2023

Improved Instruction Ordering in Recipe-Grounded Conversation

octaviaguo/chattychef 26 May 2023

In this paper, we study the task of instructional dialogue and focus on the cooking domain.

10
26 May 2023

CTRAN: CNN-Transformer-based Network for Natural Language Understanding

rafiepour/CTran 19 Mar 2023

For the intent-detection decoder, we utilize self-attention followed by a linear layer.

16
19 Mar 2023

A Hybrid Architecture for Out of Domain Intent Detection and Intent Discovery

Makbari1997/VAE-KPCA-HDBSCAN 7 Mar 2023

On the other side, a labeled dataset is needed to train a model for Intent Detection in task-oriented dialogue systems.

9
07 Mar 2023

A Persian Benchmark for Joint Intent Detection and Slot Filling

Makbari1997/Persian-Atis 1 Mar 2023

To evaluate the effectiveness of our benchmark, we employ state-of-the-art methods for intent detection and slot filling.

17
01 Mar 2023

Multi-Tenant Optimization For Few-Shot Task-Oriented FAQ Retrieval

verloop/few-shot-faqir 25 Jan 2023

Business-specific Frequently Asked Questions (FAQ) retrieval in task-oriented dialog systems poses unique challenges vis-\`a-vis community based FAQs.

0
25 Jan 2023

Effectiveness of Text, Acoustic, and Lattice-based representations in Spoken Language Understanding tasks

idiap/slu_representations 16 Dec 2022

In this paper, we perform an exhaustive evaluation of different representations to address the intent classification problem in a Spoken Language Understanding (SLU) setup.

3
16 Dec 2022

Learning to Select from Multiple Options

jiangshdd/learningtoselect 1 Dec 2022

To deal with the two issues, this work first proposes a contextualized TE model (Context-TE) by appending other k options as the context of the current (P, H) modeling.

4
01 Dec 2022