Paper Info
Title
Question Answering over Curated and Open Web Sources
Abstract
The last few years have seen an explosion of research on the topic of automated question answering (QA), spanning the communities of information retrieval, natural language processing, and artificial intelligence. This tutorial would cover the highlights of this really active period of growth for QA to give the audience a grasp over the families of algorithms that are currently being used. We partition research contributions by the underlying source from where answers are retrieved: curated knowledge graphs, unstructured text, or hybrid corpora. We choose this dimension of partitioning as it is the most discriminative when it comes to algorithm design. Other key dimensions are covered within each sub-topic: like the complexity of questions addressed, and degrees of explainability and interactivity introduced in the systems. We would conclude the tutorial with the most promising emerging trends in the expanse of QA, that would help new entrants into this field make the best decisions to take the community forward. This tutorial was recently presented at SIGIR 2020.
Year
DOI
Venue
2020
10.1145/3409256.3409809
ICTIR '20: The 2020 ACM SIGIR International Conference on the Theory of Information Retrieval Virtual Event Norway September, 2020
DocType
ISBN
Citations 
Conference
978-1-4503-8067-6
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Rishiraj Saha Roy111215.17
Avishek Anand210211.61