17 citations · 54 across the 8 of their papers we have counts for
14 papers
Accountable Error Characterization
Amita Misra, Zhe Liu, Jalal Mahmud
Customers of machine learning systems demand accountability from the companies employing these algorithms for various prediction tasks. Accountability requires understanding of sys…
Teacher-Student Learning Paradigm for Tri-training: An Efficient Method for Unlabeled Data Exploitation
Yash Bhalgat, Zhe Liu, Pritam Gundecha +2
Given that labeled data is expensive to obtain in real-world scenarios, many semi-supervised algorithms have explored the task of exploitation of unlabeled data. Traditional tri-tr…
Using Structured Representation and Data: A Hybrid Model for Negation and Sentiment in Customer Service Conversations
Amita Misra, Mansurul Bhuiyan, Jalal Mahmud +1
Twitter customer service interactions have recently emerged as an effective platform to respond and engage with customers. In this work, we explore the role of negation in customer…
Don't get Lost in Negation: An Effective Negation Handled Dialogue Acts Prediction Algorithm for Twitter Customer Service Conversations
Mansurul Bhuiyan, Amita Misra, Saurabh Tripathy +2
In the last several years, Twitter is being adopted by the companies as an alternative platform to interact with the customers to address their concerns. With the abundance of such…
SlugNERDS: A Named Entity Recognition Tool for Open Domain Dialogue Systems
Kevin K. Bowden, Jiaqi Wu, Shereen Oraby +2
In dialogue systems, the tasks of named entity recognition (NER) and named entity linking (NEL) are vital preprocessing steps for understanding user intent, especially in open doma…
Slugbot: An Application of a Novel and Scalable Open Domain Socialbot Framework
Kevin K. Bowden, Jiaqi Wu, Shereen Oraby +2
In this paper we introduce a novel, open domain socialbot for the Amazon Alexa Prize competition, aimed at carrying on friendly conversations with users on a variety of topics. We…