Text summarization is the process of creating a text summary that contains important
information from a text document. In recent years, significant progress has been made in the …

Sentiment analysis plays a key role in companies, especially stores, and increasing the
accuracy in determining customers' opinions about products assists to maintain their …

Spoken Language Understanding (SLU) aims to interpret the meanings of human speeches
in order to support various human-machine interaction systems. A key technique for SLU is …

Speech-based virtual assistants, such as Amazon Alexa, Google assistant, and Apple Siri,
typically convert users' audio signals to text data through automatic speech recognition …

Employing pre-trained language models (LM) to extract contextualized word representations
has achieved state-of-the-art performance on various NLP tasks. However, applying this …

Decoding speaker's intent is a crucial part of spoken language understanding (SLU). The
presence of noise or errors in the text transcriptions, in real life scenarios make the task …

In analysis of data, data augmentation pertains to ways to raise the availability of data
yappending slightly tweaked copies of current data or creating new generated information …

Path planning using handcrafted waypoints is inefficient for a multi-task UAV operating in
dynamic environments with potential risks such as bad weather, obstacles, or forbidden …

Linguistic coordination is a well-established phenomenon in spoken conversations and
often associated with positive social behaviors and outcomes. While there have been many …

Deriving multimodal representations of audio and lexical inputs is a central problem in
Natural Language Understanding (NLU). In this paper, we present Contrastive Aligned …