Intent Detection for code-mix utterances in task oriented dialogue systems

by   Pratik Jayarao, et al.

Intent detection is an essential component of task oriented dialogue systems. Over the years, extensive research has been conducted resulting in many state of the art models directed towards resolving user's intents in dialogue. A variety of vector representations foruser utterances have been explored for the same. However, these models and vectorization approaches have more so been evaluated in a single language environment. Dialogude systems generally have to deal with queries in different languages. We thus conduct experiments across combinations of models and various vectors representations for Code Mix as well as multi language utterances and evaluate how these models scale to a multi language environment. Our aim is to find the best suitable combination of vector representation and models for the process of intent detection for Code Mix utterances. we have evaluated the experiments on two different datasets consisting of only Code Mix utterances and the other dataset consisting of English, Hindi and Code Mix English Hindi utterances.


page 1

page 2

page 3

page 4


Fuzzy Classification of Multi-intent Utterances

Current intent classification approaches assign binary intent class memb...

CANDLE: Decomposing Conditional and Conjunctive Queries for Task-Oriented Dialogue Systems

Domain-specific dialogue systems generally determine user intents by rel...

Chat Detection in an Intelligent Assistant: Combining Task-oriented and Non-task-oriented Spoken Dialogue Systems

Recently emerged intelligent assistants on smartphones and home electron...

Gaining Insights into Unrecognized User Utterances in Task-Oriented Dialog Systems

The rapidly growing market demand for dialogue agents capable of goal-or...

Improved Goal Oriented Dialogue via Utterance Generation and Look Ahead

Goal oriented dialogue systems have become a prominent customer-care int...

Call Larisa Ivanovna: Code-Switching Fools Multilingual NLU Models

Practical needs of developing task-oriented dialogue assistants require ...

The Gutenberg Dialogue Dataset

Large datasets are essential for many NLP tasks. Current publicly availa...