no code implementations • 28 May 2023 • Md Tahmid Rahman Laskar, Cheng Chen, Xue-Yong Fu, Mahsa Azizi, Shashi Bhushan, Simon Corston-Oliver
In recent years, the utilization of Artificial Intelligence (AI) in the contact center industry is on the rise.
no code implementations • COLING (WNUT) 2022 • Xue-Yong Fu, Cheng Chen, Md Tahmid Rahman Laskar, Shashi Bhushan TN, Simon Corston-Oliver
We present a simple yet effective method to train a named entity recognition (NER) model that operates on business telephone conversation transcripts that contain noise due to the nature of spoken conversation and artifacts of automatic speech recognition.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
no code implementations • 3 Jun 2022 • Xiliang Zhu, David Rossouw, Shayna Gardiner, Simon Corston-Oliver
Pre-trained contextualized embedding models such as BERT are a standard building block in many natural language processing systems.
no code implementations • DeepLo 2022 • Xiliang Zhu, Shayna Gardiner, David Rossouw, Tere Roldán, Simon Corston-Oliver
Automatic Speech Recognition (ASR) systems typically produce unpunctuated transcripts that have poor readability.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +5
no code implementations • NAACL (ACL) 2022 • Elena Khasanova, Pooja Hiranandani, Shayna Gardiner, Cheng Chen, Xue-Yong Fu, Simon Corston-Oliver
In this paper we describe our implementation of a commercial system to detect Purpose of Call statements in English business call transcripts in real time.
no code implementations • NAACL (ACL) 2022 • Md Tahmid Rahman Laskar, Cheng Chen, Aliaksandr Martsinovich, Jonathan Johnston, Xue-Yong Fu, Shashi Bhushan TN, Simon Corston-Oliver
An Entity Linking system aligns the textual mentions of entities in a text to their corresponding entries in a knowledge base.
no code implementations • WNUT (ACL) 2021 • Xue-Yong Fu, Cheng Chen, Md Tahmid Rahman Laskar, Shashi Bhushan TN, Simon Corston-Oliver
To leverage the available written text datasets, we introduce a data sampling technique based on an n-gram language model to sample more training data that are similar to our in-domain data.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3