TY - GEN
T1 - Sanity check
T2 - 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018
AU - Yadav, Vikas
AU - Sharp, Rebecca
AU - Surdeanu, Mihai
N1 - Publisher Copyright:
© 2018 ACM.
PY - 2018/6/27
Y1 - 2018/6/27
N2 - While increasingly complex approaches to question answering (QA) have been proposed, the true gain of these systems, particularly with respect to their expensive training requirements, can be in- flated when they are not compared to adequate baselines. Here we propose an unsupervised, simple, and fast alignment and informa- tion retrieval baseline that incorporates two novel contributions: a one-to-many alignment between query and document terms and negative alignment as a proxy for discriminative information. Our approach not only outperforms all conventional baselines as well as many supervised recurrent neural networks, but also approaches the state of the art for supervised systems on three QA datasets. With only three hyperparameters, we achieve 47% P@1 on an 8th grade Science QA dataset, 32.9% P@1 on a Yahoo! answers QA dataset and 64% MAP on WikiQA.
AB - While increasingly complex approaches to question answering (QA) have been proposed, the true gain of these systems, particularly with respect to their expensive training requirements, can be in- flated when they are not compared to adequate baselines. Here we propose an unsupervised, simple, and fast alignment and informa- tion retrieval baseline that incorporates two novel contributions: a one-to-many alignment between query and document terms and negative alignment as a proxy for discriminative information. Our approach not only outperforms all conventional baselines as well as many supervised recurrent neural networks, but also approaches the state of the art for supervised systems on three QA datasets. With only three hyperparameters, we achieve 47% P@1 on an 8th grade Science QA dataset, 32.9% P@1 on a Yahoo! answers QA dataset and 64% MAP on WikiQA.
KW - Answer reranking
KW - Information retrieval
KW - Question answering
KW - Unsupervised system
UR - http://www.scopus.com/inward/record.url?scp=85051472921&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85051472921&partnerID=8YFLogxK
U2 - 10.1145/3209978.3210142
DO - 10.1145/3209978.3210142
M3 - Conference contribution
AN - SCOPUS:85051472921
T3 - 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018
SP - 1217
EP - 1220
BT - 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018
PB - Association for Computing Machinery, Inc
Y2 - 8 July 2018 through 12 July 2018
ER -