CN110222329B - 一种基于深度学习的中文分词方法和装置 - Google Patents
一种基于深度学习的中文分词方法和装置 Download PDFInfo
- Publication number
- CN110222329B CN110222329B CN201910322127.8A CN201910322127A CN110222329B CN 110222329 B CN110222329 B CN 110222329B CN 201910322127 A CN201910322127 A CN 201910322127A CN 110222329 B CN110222329 B CN 110222329B
- Authority
- CN
- China
- Prior art keywords
- data
- neural network
- convolutional neural
- random field
- conditional random
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 230000011218 segmentation Effects 0.000 title claims abstract description 80
- 238000000034 method Methods 0.000 title claims abstract description 45
- 238000013135 deep learning Methods 0.000 title claims abstract description 23
- 230000001537 neural effect Effects 0.000 claims abstract description 140
- 238000012549 training Methods 0.000 claims abstract description 75
- 238000013527 convolutional neural network Methods 0.000 claims description 74
- 230000006870 function Effects 0.000 claims description 41
- 230000015654 memory Effects 0.000 claims description 15
- 238000006243 chemical reaction Methods 0.000 claims description 13
- 238000007476 Maximum Likelihood Methods 0.000 claims description 11
- 230000008569 process Effects 0.000 claims description 11
- 238000012216 screening Methods 0.000 claims description 6
- 238000013473 artificial intelligence Methods 0.000 abstract description 2
- 238000012545 processing Methods 0.000 description 7
- 239000013598 vector Substances 0.000 description 6
- 238000013528 artificial neural network Methods 0.000 description 5
- 238000004590 computer program Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 241000590419 Polygonia interrogationis Species 0.000 description 2
- 210000001072 colon Anatomy 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000002372 labelling Methods 0.000 description 2
- 238000013507 mapping Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000003062 neural network model Methods 0.000 description 2
- 210000002569 neuron Anatomy 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 125000004122 cyclic group Chemical group 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011478 gradient descent method Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000003550 marker Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
- G06F40/289—Phrasal analysis, e.g. finite state techniques or chunking
-
- 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
-
- 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
-
- 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
- G06N3/08—Learning methods
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- General Physics & Mathematics (AREA)
- Computational Linguistics (AREA)
- General Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Evolutionary Computation (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- Data Mining & Analysis (AREA)
- Biophysics (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Life Sciences & Earth Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Machine Translation (AREA)
- Character Discrimination (AREA)
Priority Applications (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910322127.8A CN110222329B (zh) | 2019-04-22 | 2019-04-22 | 一种基于深度学习的中文分词方法和装置 |
| SG11202111464WA SG11202111464WA (en) | 2019-04-22 | 2019-11-14 | Method, device, storage medium, and computing device for segmenting chinese word based on deep learning |
| PCT/CN2019/118259 WO2020215694A1 (zh) | 2019-04-22 | 2019-11-14 | 一种基于深度学习的中文分词方法、装置、存储介质及计算机设备 |
| JP2021563188A JP7178513B2 (ja) | 2019-04-22 | 2019-11-14 | ディープラーニングに基づく中国語単語分割方法、装置、記憶媒体及びコンピュータ機器 |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910322127.8A CN110222329B (zh) | 2019-04-22 | 2019-04-22 | 一种基于深度学习的中文分词方法和装置 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110222329A CN110222329A (zh) | 2019-09-10 |
| CN110222329B true CN110222329B (zh) | 2023-11-24 |
Family
ID=67819927
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910322127.8A Active CN110222329B (zh) | 2019-04-22 | 2019-04-22 | 一种基于深度学习的中文分词方法和装置 |
Country Status (4)
| Country | Link |
|---|---|
| JP (1) | JP7178513B2 (ja) |
| CN (1) | CN110222329B (ja) |
| SG (1) | SG11202111464WA (ja) |
| WO (1) | WO2020215694A1 (ja) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110222329B (zh) * | 2019-04-22 | 2023-11-24 | 平安科技（深圳）有限公司 | 一种基于深度学习的中文分词方法和装置 |
| US10817665B1 (en) * | 2020-05-08 | 2020-10-27 | Coupang Corp. | Systems and methods for word segmentation based on a competing neural character language model |
| CN112528648A (zh) * | 2020-12-10 | 2021-03-19 | 平安科技（深圳）有限公司 | 多音字发音的预测方法、装置、设备及存储介质 |
| CN112884087A (zh) * | 2021-04-07 | 2021-06-01 | 山东大学 | 一种生物增强子及其类型的识别方法 |
| CN113341919B (zh) * | 2021-05-31 | 2022-11-08 | 中国科学院重庆绿色智能技术研究院 | 一种基于时序数据长度优化的计算***故障预测方法 |
| CN114863995B (zh) * | 2022-03-30 | 2024-05-07 | 安徽大学 | 一种基于双向门控循环神经网络的沉默子预测方法 |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104182423A (zh) * | 2013-05-27 | 2014-12-03 | 华东师范大学 | 一种基于条件随机场的中文人名自动识别方法 |
| CN107977354A (zh) * | 2017-10-12 | 2018-05-01 | 北京知道未来信息技术有限公司 | 一种基于Bi-LSTM-CNN的混合语料分词方法 |
| CN108268444A (zh) * | 2018-01-10 | 2018-07-10 | 南京邮电大学 | 一种基于双向lstm、cnn和crf的中文分词方法 |
| CN109255119A (zh) * | 2018-07-18 | 2019-01-22 | 五邑大学 | 一种基于分词和命名实体识别的多任务深度神经网络的句子主干分析方法及*** |
Family Cites Families (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2001071448A2 (en) * | 2000-03-20 | 2001-09-27 | Freeman Robert J | Natural-language processing system using a large corpus |
| JP2008140117A (ja) | 2006-12-01 | 2008-06-19 | National Institute Of Information & Communication Technology | 中国語の文字シーケンスを中国語の単語シーケンスにセグメント化するための装置 |
| CN103020034A (zh) | 2011-09-26 | 2013-04-03 | 北京大学 | 中文分词方法和装置 |
| CN104268200A (zh) * | 2013-09-22 | 2015-01-07 | 中科嘉速(北京)并行软件有限公司 | 一种基于深度学习的非监督命名实体语义消歧方法 |
| CN107291684B (zh) * | 2016-04-12 | 2021-02-09 | 华为技术有限公司 | 语言文本的分词方法和*** |
| WO2018081089A1 (en) * | 2016-10-26 | 2018-05-03 | Deepmind Technologies Limited | Processing text sequences using neural networks |
| CN108536679B (zh) * | 2018-04-13 | 2022-05-20 | 腾讯科技(成都)有限公司 | 命名实体识别方法、装置、设备及计算机可读存储介质 |
| CN109086267B (zh) * | 2018-07-11 | 2022-07-26 | 南京邮电大学 | 一种基于深度学习的中文分词方法 |
| CN110222329B (zh) * | 2019-04-22 | 2023-11-24 | 平安科技（深圳）有限公司 | 一种基于深度学习的中文分词方法和装置 |
-
2019
- 2019-04-22 CN CN201910322127.8A patent/CN110222329B/zh active Active
- 2019-11-14 JP JP2021563188A patent/JP7178513B2/ja active Active
- 2019-11-14 WO PCT/CN2019/118259 patent/WO2020215694A1/zh active Application Filing
- 2019-11-14 SG SG11202111464WA patent/SG11202111464WA/en unknown
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104182423A (zh) * | 2013-05-27 | 2014-12-03 | 华东师范大学 | 一种基于条件随机场的中文人名自动识别方法 |
| CN107977354A (zh) * | 2017-10-12 | 2018-05-01 | 北京知道未来信息技术有限公司 | 一种基于Bi-LSTM-CNN的混合语料分词方法 |
| CN108268444A (zh) * | 2018-01-10 | 2018-07-10 | 南京邮电大学 | 一种基于双向lstm、cnn和crf的中文分词方法 |
| CN109255119A (zh) * | 2018-07-18 | 2019-01-22 | 五邑大学 | 一种基于分词和命名实体识别的多任务深度神经网络的句子主干分析方法及*** |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2020215694A1 (zh) | 2020-10-29 |
| CN110222329A (zh) | 2019-09-10 |
| JP2022530447A (ja) | 2022-06-29 |
| JP7178513B2 (ja) | 2022-11-25 |
| SG11202111464WA (en) | 2021-11-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110222329B (zh) | 一种基于深度学习的中文分词方法和装置 | |
| CN111444320B (zh) | 文本检索方法、装置、计算机设备和存储介质 | |
| CN107145483B (zh) | 一种基于嵌入式表示的自适应中文分词方法 | |
| CN107168955B (zh) | 利用基于词上下文的字嵌入与神经网络的中文分词方法 | |
| CN109271521B (zh) | 一种文本分类方法及装置 | |
| CN110263325B (zh) | 中文分词*** | |
| CN107203511A (zh) | 一种基于神经网络概率消歧的网络文本命名实体识别方法 | |
| CN110765775A (zh) | 一种融合语义和标签差异的命名实体识别领域自适应的方法 | |
| WO2021051574A1 (zh) | 英文文本序列标注方法、***及计算机设备 | |
| CN107832458A (zh) | 一种字符级的基于嵌套深度网络的文本分类方法 | |
| CN112434131B (zh) | 基于人工智能的文本错误检测方法、装置、计算机设备 | |
| CN113326380B (zh) | 基于深度神经网络的设备量测数据处理方法、***及终端 | |
| CN113449489B (zh) | 标点符号标注方法、装置、计算机设备和存储介质 | |
| CN110826298B (zh) | 一种智能辅助定密***中使用的语句编码方法 | |
| CN111859964A (zh) | 一种语句中命名实体的识别方法及装置 | |
| CN113392209A (zh) | 一种基于人工智能的文本聚类方法、相关设备及存储介质 | |
| CN111160000A (zh) | 作文自动评分方法、装置终端设备及存储介质 | |
| CN110245332B (zh) | 基于双向长短时记忆网络模型的中文编码方法和装置 | |
| CN111145914A (zh) | 一种确定肺癌临床病种库文本实体的方法及装置 | |
| CN113160917B (zh) | 一种电子病历实体关系抽取方法 | |
| CN110610006A (zh) | 基于笔画和字形的形态学双通道中文词嵌入方法 | |
| CN114266252A (zh) | 命名实体识别方法、装置、设备及存储介质 | |
| US11941360B2 (en) | Acronym definition network | |
| CN113609819A (zh) | 标点符号确定模型及确定方法 | |
| CN114626378A (zh) | 命名实体识别方法、装置、电子设备及计算机可读存储介质 |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |