18 citations · 23 across the 8 of their papers we have counts for
9 papers
A Study on the Integration of Pre-trained SSL, ASR, LM and SLU Models for Spoken Language Understanding
Yifan Peng, Siddhant Arora, Yosuke Higuchi +6
Collecting sufficient labeled data for spoken language understanding (SLU) is expensive and time-consuming. Recent studies achieved promising results by using pre-trained models in…
Token-level Sequence Labeling for Spoken Language Understanding using Compositional End-to-End Models
Siddhant Arora, Siddharth Dalmia, Brian Yan +3
End-to-end spoken language understanding (SLU) systems are gaining popularity over cascaded approaches due to their simplicity and ability to avoid error propagation. However, thes…
Blockwise Streaming Transformer for Spoken Language Understanding and Simultaneous Speech Translation
Keqi Deng, Shinji Watanabe, Jiatong Shi +1
Although Transformers have gained success in several speech processing tasks like spoken language understanding (SLU) and speech translation (ST), achieving online processing while…
Rethinking End-to-End Evaluation of Decomposable Tasks: A Case Study on Spoken Language Understanding
Siddhant Arora, Alissa Ostapenko, Vijay Viswanathan +4
Decomposable tasks are complex and comprise of a hierarchy of sub-tasks. Spoken intent prediction, for example, combines automatic speech recognition and natural language understan…
BERT Meets Relational DB: Contextual Representations of Relational Databases
Siddhant Arora, Vinayak Gupta, Garima Gaur +1
In this paper, we address the problem of learning low dimension representation of entities on relational databases consisting of multiple tables. Embeddings help to capture semanti…
A Survey on Graph Neural Networks for Knowledge Graph Completion
Siddhant Arora
Knowledge Graphs are increasingly becoming popular for a variety of downstream tasks like Question Answering and Information Retrieval. However, the Knowledge Graphs are often inco…