Critically Examining the "Neural Hype"-Reference-Cited by-同舟云学术

Critically Examining the "Neural Hype"

Published:2019-07-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Yang Wei¹,Lu Kuang²,Yang Peilin³,Lin Jimmy⁴

Affiliation:

1. University of Waterloo, Waterloo, ON, Canada

2. University of Delaware, Newark, DE, USA

3. No affiliation, San Francisco, CA, USA

4. University of Waterloo, Waterloo, ON, USA

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3331184.3331340

Reference26 articles.

1. Abdul-Jaleel et al. 2004. UMass at TREC 2004: Novelty and HARD. TREC. Abdul-Jaleel et al. 2004. UMass at TREC 2004: Novelty and HARD. TREC.

2. Akcay et al. 2017. On the Additivity and Weak Baselines for Search Result Diversification Research. ICTIR. 10.1145/3121050.3121059 Akcay et al. 2017. On the Additivity and Weak Baselines for Search Result Diversification Research. ICTIR. 10.1145/3121050.3121059

3. Improvements that don't add up

4. Cormack et al. 2009. Reciprocal Rank Fusion Outperforms Condorcet and Individual Rank Learning Methods. SIGIR. 10.1145/1571941.1572114 Cormack et al. 2009. Reciprocal Rank Fusion Outperforms Condorcet and Individual Rank Learning Methods. SIGIR. 10.1145/1571941.1572114

5. Fan et al. 2017. MatchZoo: A Toolkit for Deep Text Matching. arXiv:1707.07270. Fan et al. 2017. MatchZoo: A Toolkit for Deep Text Matching. arXiv:1707.07270.

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