A study on the Interpretability of Neural Retrieval Models using DeepSHAP-Reference-Cited by-同舟云学术

A study on the Interpretability of Neural Retrieval Models using DeepSHAP

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:

Fernando Zeon Trevor¹,Singh Jaspreet¹,Anand Avishek¹

Affiliation:

1. L3S Research Center, Hannover, Germany

Funder

Amazon Research Awards

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3331184.3331312

Reference20 articles.

1. "What is relevant in a text document?": An interpretable machine learning approach

2. On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

3. Yixing Fan Liang Pang Jianpeng Hou Jiafeng Guo Yanyan Lan and Xueqi Cheng. 2017. MatchZoo: A Toolkit for Deep Text Matching.(2017). arxiv: 1707.07270 Yixing Fan Liang Pang Jianpeng Hou Jiafeng Guo Yanyan Lan and Xueqi Cheng. 2017. MatchZoo: A Toolkit for Deep Text Matching.(2017). arxiv: 1707.07270

4. A Deep Relevance Matching Model for Ad-hoc Retrieval

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