This paper presents the ArBanking77, a large Arabic dataset for intent detection in the
banking domain. Our dataset was arabized and localized from the original English …

Detecting the user intentions encoded in text queries is a pivotal task in many natural
language processing application like search engines, personal assistants, smart agents …

Abstract Multilingual Intent Detection and explore its different characteristics are major field
of study for last few years. But, detection of intention dynamics from text or voice, especially …

We propose an Intent Determination (ID) method by combining the single-layer
Convolutional Neural Network (CNN) with the Bidirectional Encoder Representations from …

We present a systematic study on multilingual and cross-lingual intent detection from spoken
data. The study leverages a new resource put forth in this work, termed MInDS-14, a first …

Intent detection is a key component of modern goal-oriented dialog systems that accomplish
a user task by predicting the intent of users' text input. There are three primary challenges in …

Today, there are a large number of online discussion fora on the internet which are meant
for users to express, discuss and exchange their views and opinions on various topics. For …

While online Arabic is primarily written using the Arabic script, a Roman-script variety called
Arabizi is often seen on social media. Although this representation captures the phonology …

Natural Language Understanding (NLU) is important in today's technology as it enables
machines to comprehend and process human language, leading to improved human …

Computational linguistics explores how human language is interpreted automatically and
then processed. Research in this area takes the logical and mathematical features of natural …