CN110955745A - Text hash retrieval method based on deep learning - Google Patents
Text hash retrieval method based on deep learning Download PDFInfo
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- CN110955745A CN110955745A CN201910983514.6A CN201910983514A CN110955745A CN 110955745 A CN110955745 A CN 110955745A CN 201910983514 A CN201910983514 A CN 201910983514A CN 110955745 A CN110955745 A CN 110955745A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/31—Indexing; Data structures therefor; Storage structures
- G06F16/316—Indexing structures
- G06F16/325—Hash tables
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/35—Clustering; Classification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/044—Recurrent networks, e.g. Hopfield networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
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CN201910983514.6A CN110955745B (en) | 2019-10-16 | 2019-10-16 | Text hash retrieval method based on deep learning |
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CN201910983514.6A CN110955745B (en) | 2019-10-16 | 2019-10-16 | Text hash retrieval method based on deep learning |
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CN110955745A true CN110955745A (en) | 2020-04-03 |
CN110955745B CN110955745B (en) | 2022-04-01 |
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111488137A (en) * | 2020-04-07 | 2020-08-04 | 重庆大学 | Code searching method based on common attention characterization learning |
CN111737406A (en) * | 2020-07-28 | 2020-10-02 | 腾讯科技(深圳)有限公司 | Text retrieval method, device and equipment and training method of text retrieval model |
WO2023081483A1 (en) * | 2021-11-08 | 2023-05-11 | Oracle International Corporation | Wide and deep network for language detection using hash embeddings |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20180121799A1 (en) * | 2016-11-03 | 2018-05-03 | Salesforce.Com, Inc. | Training a Joint Many-Task Neural Network Model using Successive Regularization |
US20180165554A1 (en) * | 2016-12-09 | 2018-06-14 | The Research Foundation For The State University Of New York | Semisupervised autoencoder for sentiment analysis |
CN108932314A (en) * | 2018-06-21 | 2018-12-04 | 南京农业大学 | A kind of chrysanthemum image content retrieval method based on the study of depth Hash |
-
2019
- 2019-10-16 CN CN201910983514.6A patent/CN110955745B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20180121799A1 (en) * | 2016-11-03 | 2018-05-03 | Salesforce.Com, Inc. | Training a Joint Many-Task Neural Network Model using Successive Regularization |
US20180165554A1 (en) * | 2016-12-09 | 2018-06-14 | The Research Foundation For The State University Of New York | Semisupervised autoencoder for sentiment analysis |
CN108932314A (en) * | 2018-06-21 | 2018-12-04 | 南京农业大学 | A kind of chrysanthemum image content retrieval method based on the study of depth Hash |
Non-Patent Citations (3)
Title |
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寿震宇等: "基于机器学习模型的哈希方法研究进展", 《无线通信技术》 * |
李元诚等: "开源软件漏洞检测的混合深度学习方法", 《计算机工程与应用》 * |
金占勇等: "基于长短时记忆网络的突发灾害事件网络舆情情感识别研究", 《情报科学》 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111488137A (en) * | 2020-04-07 | 2020-08-04 | 重庆大学 | Code searching method based on common attention characterization learning |
CN111488137B (en) * | 2020-04-07 | 2023-04-18 | 重庆大学 | Code searching method based on common attention characterization learning |
CN111737406A (en) * | 2020-07-28 | 2020-10-02 | 腾讯科技(深圳)有限公司 | Text retrieval method, device and equipment and training method of text retrieval model |
CN111737406B (en) * | 2020-07-28 | 2022-11-29 | 腾讯科技(深圳)有限公司 | Text retrieval method, device and equipment and training method of text retrieval model |
WO2023081483A1 (en) * | 2021-11-08 | 2023-05-11 | Oracle International Corporation | Wide and deep network for language detection using hash embeddings |
GB2625485A (en) * | 2021-11-08 | 2024-06-19 | Oracle Int Corp | Wide and deep network for language detection using hash embeddings |
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