Chanin Pithyaachariyakul

Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.

? Tutorial for this page

Demo Data from VLDB 2026 / reviewers in the wild / expert

dblp:201/0461 · DBLP profile ↗

← Back

2ranked-venue papers

1as first author

0since 2021 · last 2018

—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 1 first-authorDatabases, data management, data science and information retrieval · 1Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence 1 paper		Question answering and dialogue systems · 100%
Databases, data mining, and information retrieval 1 paper		Information retrieval · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
Natural language and speech › Question answering and dialogue systems community question answering	0.3	1	2018	Automated Question Answering System for Community-Based Questions · AAAI 2018
Information retrieval › question answering question answering retrieval	0.3	1	2018	Automated Question Answering System for Community-Based Questions · AAAI 2018

Methods — techniques the papers use, named apart from their topics

factoid and non-factoid QA · 0.7TREC LiveQA evaluation · 0.7

Year	Publication	Venue	Position
2018	Automated Question Answering System for Community-Based Questions abstract We present our attempt at developing an efficient Question Answering system for both factoid and non-factoid questions from any domain. Empirical evaluation of our system using multiple datasets demonstrates that our system outperforms the best system from the TREC LiveQA tracks, while keeping the response time to under less than half a minute. Chanin Pithyaachariyakul, Anagha Kulkarni 0001	AAAI	1
2017	Answering the Hard Questions Maria Khvalchik, Chanin Pithyaachariyakul, Anagha Kulkarni 0001	LDK	2