Selective Weak Supervision for Neural Information Retrieval-Reference-Cited by-同舟云学术

Selective Weak Supervision for Neural Information Retrieval

Published:2020-04-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of The Web Conference 2020
language:
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Author:

Zhang Kaitao¹,Xiong Chenyan²,Liu Zhenghao¹,Liu Zhiyuan¹

Affiliation:

1. Tsinghua University, China

2. Carnegie Mellon University; Microsoft, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3366423.3380131

Reference54 articles.

1. Amin Ahmad Noah Constant Yinfei Yang and Daniel Cer. 2019. ReQA: An Evaluation for End-to-End Answer Retrieval Models. CoRR abs/1907.04780(2019). Amin Ahmad Noah Constant Yinfei Yang and Daniel Cer. 2019. ReQA: An Evaluation for End-to-End Answer Retrieval Models. CoRR abs/1907.04780(2019).

2. W. Bruce Croft Donald Metzler and Trevor Strohman. 2009. Search Engines - Information Retrieval in Practice. Pearson Education. W. Bruce Croft Donald Metzler and Trevor Strohman. 2009. Search Engines - Information Retrieval in Practice. Pearson Education.

3. Deeper Text Understanding for IR with Contextual Neural Language Modeling

4. Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc Search

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