activity
20192026
most citedA Survey on Graph Neural Networks for Knowledge Graph Completion

18 citations · 47 across the 61 of their papers we have counts for

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Showing 2022Show all

8 papers · 1 filter

cs.CL2022

SLUE Phase-2: A Benchmark Suite of Diverse Spoken Language Understanding Tasks

Suwon Shon, Siddhant Arora, Chyi-Jiunn Lin +7

Spoken language understanding (SLU) tasks have been studied for many decades in the speech research community, but have not received as much attention as lower-level tasks like spe…

cs.CL2022

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…

cs.CL2022

Streaming Joint Speech Recognition and Disfluency Detection

Hayato Futami, Emiru Tsunoo, Kentaro Shibata +4

Disfluency detection has mainly been solved in a pipeline approach, as post-processing of speech recognition. In this study, we propose Transformer-based encoder-decoder models tha…

cs.CL2022

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…

eess.AS2022

BERT Meets CTC: New Formulation of End-to-End Speech Recognition with Pre-trained Masked Language Model

Yosuke Higuchi, Brian Yan, Siddhant Arora +3

This paper presents BERT-CTC, a novel formulation of end-to-end speech recognition that adapts BERT for connectionist temporal classification (CTC). Our formulation relaxes the con…

cs.CL2022

Two-Pass Low Latency End-to-End Spoken Language Understanding

Siddhant Arora, Siddharth Dalmia, Xuankai Chang +3

End-to-end (E2E) models are becoming increasingly popular for spoken language understanding (SLU) systems and are beginning to achieve competitive performance to pipeline-based app…

cs.CL2022★ 4 cited

Creation and Analysis of an International Corpus of Privacy Laws

Sonu Gupta, Ellen Poplavska, Nora O'Toole +4

The landscape of privacy laws and regulations around the world is complex and ever-changing. National and super-national laws, agreements, decrees, and other government-issued rule…

cs.CL2022

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…