Generating Keyword Queries for Natural Language Queries to Alleviate Lexical Chasm Problem-Reference-Cited by-同舟云学术

Generating Keyword Queries for Natural Language Queries to Alleviate Lexical Chasm Problem

Published:2018-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 27th ACM International Conference on Information and Knowledge Management
language:
Short-container-title:

Author:

Liu Xiaoyu¹,Pan Shunda¹,Zhang Qi¹,Jiang Yu-Gang¹,Huang Xuanjing¹

Affiliation:

1. Fudan University, Shanghai, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3269206.3271727

Reference36 articles.

1. Simrank++

2. Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2015. Neural Machine Translation by Jointly Learning to Align and Translate. In EMNLP. Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2015. Neural Machine Translation by Jointly Learning to Align and Translate. In EMNLP.

3. Probabilistic query expansion using query logs

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing Energy-Awareness in Deep Learning through Fine-Grained Energy Measurement;ACM Transactions on Software Engineering and Methodology;2024-07-26

2. Boolean interpretation, matching, and ranking of natural language queries in product selection systems;Discover Computing;2024-04-03

3. Graph-based query reformulation system for descriptive queries of jargon words using definitions;Expert Systems with Applications;2023-03

4. Retrieving and Ranking Relevant Products from Boolean Natural Language Queries;2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT);2022-11

5. Query Reformulation for Descriptive Queries of Jargon Words Using a Knowledge Graph based on a Dictionary;Proceedings of the 30th ACM International Conference on Information & Knowledge Management;2021-10-26