CN115398436B - 用于自然语言处理的噪声数据扩充 - Google Patents
用于自然语言处理的噪声数据扩充Info
- Publication number
- CN115398436B CN115398436B CN202080099408.2A CN202080099408A CN115398436B CN 115398436 B CN115398436 B CN 115398436B CN 202080099408 A CN202080099408 A CN 202080099408A CN 115398436 B CN115398436 B CN 115398436B
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- China
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Classifications
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
- G06F40/284—Lexical analysis, e.g. tokenisation or collocates
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/06—Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
- G10L15/063—Training
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
- G06F40/35—Discourse or dialogue representation
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/04—Segmentation; Word boundary detection
- G10L15/05—Word boundary detection
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/08—Speech classification or search
- G10L15/18—Speech classification or search using natural language modelling
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/06—Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
- G10L15/063—Training
- G10L2015/0631—Creating reference templates; Clustering
- G10L2015/0633—Creating reference templates; Clustering using lexical or orthographic knowledge sources
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/06—Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
- G10L15/063—Training
- G10L2015/0638—Interactive procedures
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
- G10L2015/226—Procedures used during a speech recognition process, e.g. man-machine dialogue using non-speech characteristics
- G10L2015/227—Procedures used during a speech recognition process, e.g. man-machine dialogue using non-speech characteristics of the speaker; Human-factor methodology
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Computational Linguistics (AREA)
- Health & Medical Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Multimedia (AREA)
- Acoustics & Sound (AREA)
- Human Computer Interaction (AREA)
- Theoretical Computer Science (AREA)
- Artificial Intelligence (AREA)
- General Health & Medical Sciences (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Machine Translation (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US202063002066P | 2020-03-30 | 2020-03-30 | |
| US63/002,066 | 2020-03-30 | ||
| PCT/US2020/050342 WO2021201907A1 (en) | 2020-03-30 | 2020-09-11 | Noise data augmentation for natural language processing |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115398436A CN115398436A (zh) | 2022-11-25 |
| CN115398436B true CN115398436B (zh) | 2025-08-05 |
Family
ID=72659890
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202080099408.2A Active CN115398436B (zh) | 2020-03-30 | 2020-09-11 | 用于自然语言处理的噪声数据扩充 |
Country Status (5)
| Country | Link |
|---|---|
| US (2) | US11538457B2 (https=) |
| EP (1) | EP4128010A1 (https=) |
| JP (2) | JP7721559B2 (https=) |
| CN (1) | CN115398436B (https=) |
| WO (1) | WO2021201907A1 (https=) |
Families Citing this family (24)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118642630A (zh) * | 2018-08-21 | 2024-09-13 | 谷歌有限责任公司 | 用于自动助理调用的方法 |
| US11538457B2 (en) * | 2020-03-30 | 2022-12-27 | Oracle International Corporation | Noise data augmentation for natural language processing |
| US11556788B2 (en) * | 2020-06-15 | 2023-01-17 | International Business Machines Corporation | Text-based response environment action selection |
| US11599721B2 (en) * | 2020-08-25 | 2023-03-07 | Salesforce, Inc. | Intelligent training set augmentation for natural language processing tasks |
| DK202170043A1 (en) * | 2021-01-29 | 2022-12-12 | A P Moeller Mærsk As | A method for autonomous reconciliation of invoice data and related electronic device |
| US12026471B2 (en) * | 2021-04-16 | 2024-07-02 | Accenture Global Solutions Limited | Automated generation of chatbot |
| US12242816B2 (en) * | 2021-06-30 | 2025-03-04 | Microsoft Technology Licensing, Llc | Task-action prediction engine for a task management system |
| US12321428B2 (en) * | 2021-07-08 | 2025-06-03 | Nippon Telegraph And Telephone Corporation | User authentication device, user authentication method, and user authentication computer program |
| EP4363965A1 (en) * | 2021-08-06 | 2024-05-08 | Siemens Aktiengesellschaft | Source code synthesis for domain specific languages from natural language text |
| US12468938B2 (en) * | 2021-09-21 | 2025-11-11 | International Business Machines Corporation | Training example generation to create new intents for chatbots |
| CN114491048B (zh) * | 2022-02-16 | 2025-08-15 | 北京微播易科技股份有限公司 | 一种数据增强方法、文本分类模型的训练方法和装置 |
| CN115878765B (zh) * | 2022-04-18 | 2024-09-13 | 北京中关村科金技术有限公司 | 一种融合意图识别降噪的催款话术挖掘方法及装置 |
| CN114881130A (zh) * | 2022-04-26 | 2022-08-09 | 华北电力大学 | 一种基于Bagging模型的继电保护缺陷文本定级方法 |
| US12451141B2 (en) | 2022-06-08 | 2025-10-21 | International Business Machines Corporation | Generating multi-turn dialog datasets |
| US12579448B2 (en) | 2022-06-22 | 2026-03-17 | Oracle International Corporation | Techniques for positive entity aware augmentation using two-stage augmentation |
| CN117668216A (zh) * | 2022-08-12 | 2024-03-08 | 南方电网大数据服务有限公司 | 意图识别模型训练方法、意图识别方法和装置 |
| CN116150311A (zh) * | 2022-08-16 | 2023-05-23 | 马上消费金融股份有限公司 | 文本匹配模型的训练方法、意图识别方法及装置 |
| US12499385B2 (en) * | 2022-08-22 | 2025-12-16 | Oracle International Corporation | Adaptive training data augmentation to facilitate training named entity recognition models |
| CN115909354B (zh) * | 2022-11-11 | 2023-11-10 | 北京百度网讯科技有限公司 | 文本生成模型的训练方法、文本获取方法及装置 |
| US12512089B2 (en) * | 2022-12-07 | 2025-12-30 | International Business Machines Corporation | Testing cascaded deep learning pipelines comprising a speech-to-text model and a text intent classifier |
| JP2024098791A (ja) * | 2023-01-11 | 2024-07-24 | 株式会社東芝 | 情報処理装置、情報処理方法及び情報処理プログラム |
| US12231378B2 (en) * | 2023-06-08 | 2025-02-18 | Sap Se | Realtime conversation AI insights and deployment |
| US20250008021A1 (en) * | 2023-06-28 | 2025-01-02 | Jpmorgan Chase Bank, N.A. | Systems and methods for artificial intelligence-based coaching using microlearning |
| US12367342B1 (en) * | 2025-01-15 | 2025-07-22 | Conversational AI Ltd | Automated analysis of computerized conversational agent conversational data |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105786798A (zh) * | 2016-02-25 | 2016-07-20 | 上海交通大学 | 一种人机交互中自然语言意图理解方法 |
| CN108073574A (zh) * | 2016-11-16 | 2018-05-25 | 三星电子株式会社 | 用于处理自然语言以及训练自然语言模型的方法和设备 |
| CN110209791A (zh) * | 2019-06-12 | 2019-09-06 | 百融云创科技股份有限公司 | 一种多轮对话智能语音交互系统及装置 |
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|---|---|---|---|---|
| US20110289025A1 (en) * | 2010-05-19 | 2011-11-24 | Microsoft Corporation | Learning user intent from rule-based training data |
| US20160055240A1 (en) | 2014-08-22 | 2016-02-25 | Microsoft Corporation | Orphaned utterance detection system and method |
| WO2016055240A1 (en) * | 2014-10-06 | 2016-04-14 | Zentrum Mikroelektronik Dresden Ag | Pulsed linear power converter |
| US10510336B2 (en) * | 2017-06-12 | 2019-12-17 | International Business Machines Corporation | Method, apparatus, and system for conflict detection and resolution for competing intent classifiers in modular conversation system |
| CN107515857B (zh) | 2017-08-31 | 2020-08-18 | 科大讯飞股份有限公司 | 基于定制技能的语义理解方法及系统 |
| US10303978B1 (en) * | 2018-03-26 | 2019-05-28 | Clinc, Inc. | Systems and methods for intelligently curating machine learning training data and improving machine learning model performance |
| US10726204B2 (en) * | 2018-05-24 | 2020-07-28 | International Business Machines Corporation | Training data expansion for natural language classification |
| US11093707B2 (en) * | 2019-01-15 | 2021-08-17 | International Business Machines Corporation | Adversarial training data augmentation data for text classifiers |
| CN110223674B (zh) * | 2019-04-19 | 2023-05-26 | 平安科技(深圳)有限公司 | 语音语料训练方法、装置、计算机设备和存储介质 |
| CN110457447A (zh) * | 2019-05-15 | 2019-11-15 | 国网浙江省电力有限公司电力科学研究院 | 一种电网任务型对话系统 |
| US11538457B2 (en) * | 2020-03-30 | 2022-12-27 | Oracle International Corporation | Noise data augmentation for natural language processing |
-
2020
- 2020-09-09 US US17/016,117 patent/US11538457B2/en active Active
- 2020-09-11 WO PCT/US2020/050342 patent/WO2021201907A1/en not_active Ceased
- 2020-09-11 JP JP2022559639A patent/JP7721559B2/ja active Active
- 2020-09-11 EP EP20781159.7A patent/EP4128010A1/en active Pending
- 2020-09-11 CN CN202080099408.2A patent/CN115398436B/zh active Active
-
2022
- 2022-11-23 US US17/993,130 patent/US11972755B2/en active Active
-
2025
- 2025-07-28 JP JP2025125324A patent/JP2025170253A/ja active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105786798A (zh) * | 2016-02-25 | 2016-07-20 | 上海交通大学 | 一种人机交互中自然语言意图理解方法 |
| CN108073574A (zh) * | 2016-11-16 | 2018-05-25 | 三星电子株式会社 | 用于处理自然语言以及训练自然语言模型的方法和设备 |
| CN110209791A (zh) * | 2019-06-12 | 2019-09-06 | 百融云创科技股份有限公司 | 一种多轮对话智能语音交互系统及装置 |
Non-Patent Citations (1)
| Title |
|---|
| "文書分類におけるテキストノイズおよびラベルノイズの影響分析";池田大志,藤本拓,吉村健,;《言語処理学会-第26回年次大会-発表論文集》;20200109;第221-224页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| JP7721559B2 (ja) | 2025-08-12 |
| JP2023519713A (ja) | 2023-05-12 |
| JP2025170253A (ja) | 2025-11-18 |
| US11538457B2 (en) | 2022-12-27 |
| WO2021201907A1 (en) | 2021-10-07 |
| US20210304733A1 (en) | 2021-09-30 |
| US20230169955A1 (en) | 2023-06-01 |
| CN115398436A (zh) | 2022-11-25 |
| US11972755B2 (en) | 2024-04-30 |
| EP4128010A1 (en) | 2023-02-08 |
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| GR01 | Patent grant | ||
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