Details
| Original language | English |
|---|---|
| Title of host publication | ICTIR 2020 - Proceedings of the 2020 ACM SIGIR International Conference on Theory of Information Retrieval |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 193-194 |
| Number of pages | 2 |
| ISBN (electronic) | 9781450380676 |
| Publication status | Published - 14 Sept 2020 |
| Event | 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval - online Duration: 14 Sept 2020 → 17 Sept 2020 |
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.
Keywords
- KG-QA, knowledge graphs, open-domain QA, passage ranking, question answering, table-QA, text-QA
ASJC Scopus subject areas
- Computer Science(all)
- Computer Science (miscellaneous)
- Computer Science(all)
- Information Systems
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ICTIR 2020 - Proceedings of the 2020 ACM SIGIR International Conference on Theory of Information Retrieval. Association for Computing Machinery (ACM), 2020. p. 193-194.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Question Answering over Curated and Open Web Sources
AU - Roy, Rishiraj Saha
AU - Anand, Avishek
PY - 2020/9/14
Y1 - 2020/9/14
N2 - 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.
AB - 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.
KW - KG-QA
KW - knowledge graphs
KW - open-domain QA
KW - passage ranking
KW - question answering
KW - table-QA
KW - text-QA
UR - http://www.scopus.com/inward/record.url?scp=85093115359&partnerID=8YFLogxK
U2 - 10.48550/arXiv.2004.11980
DO - 10.48550/arXiv.2004.11980
M3 - Conference contribution
AN - SCOPUS:85093115359
SP - 193
EP - 194
BT - ICTIR 2020 - Proceedings of the 2020 ACM SIGIR International Conference on Theory of Information Retrieval
PB - Association for Computing Machinery (ACM)
T2 - 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
Y2 - 14 September 2020 through 17 September 2020
ER -