361 citations · 789 across the 31 of their papers we have counts for
7 papers · 1 filter
Learning to Select the Relevant History Turns in Conversational Question Answering
Munazza Zaib, Wei Emma Zhang, Quan Z. Sheng +3
The increasing demand for the web-based digital assistants has given a rapid rise in the interest of the Information Retrieval (IR) community towards the field of conversational qu…
Keeping the Questions Conversational: Using Structured Representations to Resolve Dependency in Conversational Question Answering
Munazza Zaib, Quan Z. Sheng, Wei Emma Zhang +1
Having an intelligent dialogue agent that can engage in conversational question answering (ConvQA) is now no longer limited to Sci-Fi movies only and has, in fact, turned into a re…
Building Metadata Inference Using a Transducer Based Language Model
David Waterworth, Subbu Sethuvenkatraman, Quan Z. Sheng
Solving the challenges of automatic machine translation of Building Automation System text metadata is a crucial first step in efficiently deploying smart building applications. Th…
Conversational Question Answering: A Survey
Munazza Zaib, Wei Emma Zhang, Quan Z. Sheng +2
Question answering (QA) systems provide a way of querying the information available in various formats including, but not limited to, unstructured and structured data in natural la…
BERT-CoQAC: BERT-based Conversational Question Answering in Context
Munazza Zaib, Dai Hoang Tran, Subhash Sagar +3
As one promising way to inquire about any particular information through a dialog with the bot, question answering dialog systems have gained increasing research interests recently…
A Short Survey of Pre-trained Language Models for Conversational AI-A NewAge in NLP
Munazza Zaib, Quan Z. Sheng, Wei Emma Zhang
Building a dialogue system that can communicate naturally with humans is a challenging yet interesting problem of agent-based computing. The rapid growth in this area is usually hi…