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Found 7 papers, 0 papers with code
AI Coach Assist: An Automated Approach for Call Recommendation in Contact Centers for Agent Coaching
In recent years, the utilization of Artificial Intelligence (AI) in the contact center industry is on the rise.
An Effective, Performant Named Entity Recognition System for Noisy Business Telephone Conversation Transcripts
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
Extracting Similar Questions From Naturally-occurring Business Conversations
Pre-trained contextualized embedding models such as BERT are a standard building block in many natural language processing systems.
Punctuation Restoration in Spanish Customer Support Transcripts using Transfer Learning
Automatic Speech Recognition (ASR) systems typically produce unpunctuated transcripts that have poor readability.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+5
Developing a Production System for Purpose of Call Detection in Business Phone Conversations
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.
BLINK with Elasticsearch for Efficient Entity Linking in Business Conversations
An Entity Linking system aligns the textual mentions of entities in a text to their corresponding entries in a knowledge base.
Improving Punctuation Restoration for Speech Transcripts via External Data
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
