CN113892150A - 计算跨度的深度学习方法 - Google Patents
计算跨度的深度学习方法 Download PDFInfo
- Publication number
- CN113892150A CN113892150A CN202080038894.7A CN202080038894A CN113892150A CN 113892150 A CN113892150 A CN 113892150A CN 202080038894 A CN202080038894 A CN 202080038894A CN 113892150 A CN113892150 A CN 113892150A
- Authority
- CN
- China
- Prior art keywords
- highlighted
- training
- text
- node
- nodes
- 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.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
-
- 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
- G06F40/20—Natural language analysis
- G06F40/205—Parsing
-
- 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
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/02—Knowledge representation; Symbolic representation
- G06N5/022—Knowledge engineering; Knowledge acquisition
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/04—Inference or reasoning models
- G06N5/041—Abduction
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/20—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H70/00—ICT specially adapted for the handling or processing of medical references
- G16H70/20—ICT specially adapted for the handling or processing of medical references relating to practices or guidelines
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H70/00—ICT specially adapted for the handling or processing of medical references
- G16H70/60—ICT specially adapted for the handling or processing of medical references relating to pathologies
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Artificial Intelligence (AREA)
- Physics & Mathematics (AREA)
- Software Systems (AREA)
- Data Mining & Analysis (AREA)
- Computational Linguistics (AREA)
- Mathematical Physics (AREA)
- Computing Systems (AREA)
- Evolutionary Computation (AREA)
- Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- General Health & Medical Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Public Health (AREA)
- Biomedical Technology (AREA)
- Primary Health Care (AREA)
- Epidemiology (AREA)
- Pathology (AREA)
- Databases & Information Systems (AREA)
- Machine Translation (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US16/454,311 | 2019-06-27 | ||
| US16/454,311 US11379660B2 (en) | 2019-06-27 | 2019-06-27 | Deep learning approach to computing spans |
| PCT/IB2020/055332 WO2020261002A1 (en) | 2019-06-27 | 2020-06-05 | Deep learning approach to computing spans |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113892150A true CN113892150A (zh) | 2022-01-04 |
Family
ID=74044096
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202080038894.7A Pending CN113892150A (zh) | 2019-06-27 | 2020-06-05 | 计算跨度的深度学习方法 |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US11379660B2 (https=) |
| JP (1) | JP7549417B2 (https=) |
| CN (1) | CN113892150A (https=) |
| DE (1) | DE112020002129T5 (https=) |
| GB (1) | GB2598879A (https=) |
| WO (1) | WO2020261002A1 (https=) |
Families Citing this family (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11087087B1 (en) * | 2017-02-15 | 2021-08-10 | Robert Mayer | Comparative expression processing |
| US11379660B2 (en) * | 2019-06-27 | 2022-07-05 | International Business Machines Corporation | Deep learning approach to computing spans |
| CN111259112B (zh) * | 2020-01-14 | 2023-07-04 | 北京百度网讯科技有限公司 | 医疗事实的验证方法和装置 |
| US11755822B2 (en) | 2020-08-04 | 2023-09-12 | International Business Machines Corporation | Promised natural language processing annotations |
| US11520972B2 (en) * | 2020-08-04 | 2022-12-06 | International Business Machines Corporation | Future potential natural language processing annotations |
| CN112509690B (zh) | 2020-11-30 | 2023-08-04 | 北京百度网讯科技有限公司 | 用于控制质量的方法、装置、设备和存储介质 |
| WO2023278980A1 (en) * | 2021-06-28 | 2023-01-05 | ACADEMIC MERIT LLC d/b/a FINETUNE LEARNING | Interface to natural language generator for generation of knowledge assessment items |
| US11977836B1 (en) * | 2021-11-26 | 2024-05-07 | Amazon Technologies, Inc. | Global explanations of machine learning model predictions for input containing text attributes |
| US20240220488A1 (en) * | 2022-12-30 | 2024-07-04 | International Business Machines Corporation | Optimizing structured query language queries using candidate sets |
| JP7454090B1 (ja) | 2023-07-12 | 2024-03-21 | 医療法人社団梅華会 | 医療の支援装置 |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1618064A (zh) * | 2002-01-29 | 2005-05-18 | 国际商业机器公司 | 翻译方法、已翻译句子的输入方法、记录介质、程序与计算机设备 |
| US20140163962A1 (en) * | 2012-12-10 | 2014-06-12 | International Business Machines Corporation | Deep analysis of natural language questions for question answering system |
| CN106484674A (zh) * | 2016-09-20 | 2017-03-08 | 北京工业大学 | 一种基于深度学习的中文电子病历概念抽取方法 |
| CN106997370A (zh) * | 2015-08-07 | 2017-08-01 | 谷歌公司 | 基于作者的文本分类和转换 |
| US20170300632A1 (en) * | 2016-04-19 | 2017-10-19 | Nec Laboratories America, Inc. | Medical history extraction using string kernels and skip grams |
| US20200410050A1 (en) * | 2019-06-27 | 2020-12-31 | International Business Machines Corporation | Deep learning approach to computing spans |
Family Cites Families (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6574633B1 (en) | 1999-11-01 | 2003-06-03 | Honeywell International Inc. | Method for dynamically grouping limited range physical entities in a topological space |
| US9244909B2 (en) * | 2012-12-10 | 2016-01-26 | General Electric Company | System and method for extracting ontological information from a body of text |
| US9715662B2 (en) | 2013-01-28 | 2017-07-25 | International Business Machines Corporation | Inconsistency detection between structured and non-structured data |
| CA2973138C (en) | 2014-01-10 | 2020-06-16 | Cluep Inc. | Systems, devices, and methods for automatic detection of feelings in text |
| JP5807829B2 (ja) | 2015-02-02 | 2015-11-10 | 洋彰 宮崎 | 自律型知識分析機 |
| US10061714B2 (en) * | 2016-03-18 | 2018-08-28 | Oracle International Corporation | Tuple encoding aware direct memory access engine for scratchpad enabled multicore processors |
| US10740678B2 (en) * | 2016-03-31 | 2020-08-11 | International Business Machines Corporation | Concept hierarchies |
| KR102801724B1 (ko) * | 2016-06-28 | 2025-04-30 | 삼성전자주식회사 | 언어 처리 방법 및 장치 |
| US20180075011A1 (en) * | 2016-09-13 | 2018-03-15 | International Business Machines Corporation | Hybrid Approach to Handling Hypotheticals in Texts |
| US10360301B2 (en) * | 2016-10-10 | 2019-07-23 | International Business Machines Corporation | Personalized approach to handling hypotheticals in text |
| US10762992B2 (en) | 2016-11-30 | 2020-09-01 | Welltok, Inc. | Synthetic ground truth expansion |
| US9715495B1 (en) * | 2016-12-15 | 2017-07-25 | Quid, Inc. | Topic-influenced document relationship graphs |
| US20190006027A1 (en) | 2017-06-30 | 2019-01-03 | Accenture Global Solutions Limited | Automatic identification and extraction of medical conditions and evidences from electronic health records |
| CN107526785B (zh) | 2017-07-31 | 2020-07-17 | 广州市香港科大霍英东研究院 | 文本分类方法及装置 |
| US10811125B2 (en) | 2017-08-21 | 2020-10-20 | International Business Machines Corporation | Cognitive framework to identify medical case safety reports in free form text |
| CN108304387B (zh) * | 2018-03-09 | 2021-06-15 | 联想(北京)有限公司 | 文本中噪音词的识别方法、装置、服务器组及存储介质 |
| CN109062901B (zh) * | 2018-08-14 | 2019-10-11 | 第四范式(北京)技术有限公司 | 神经网络训练方法和装置及命名实体识别方法和装置 |
-
2019
- 2019-06-27 US US16/454,311 patent/US11379660B2/en active Active
-
2020
- 2020-06-05 WO PCT/IB2020/055332 patent/WO2020261002A1/en not_active Ceased
- 2020-06-05 JP JP2021575889A patent/JP7549417B2/ja active Active
- 2020-06-05 CN CN202080038894.7A patent/CN113892150A/zh active Pending
- 2020-06-05 DE DE112020002129.7T patent/DE112020002129T5/de active Pending
- 2020-06-05 GB GB2200551.6A patent/GB2598879A/en not_active Withdrawn
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1618064A (zh) * | 2002-01-29 | 2005-05-18 | 国际商业机器公司 | 翻译方法、已翻译句子的输入方法、记录介质、程序与计算机设备 |
| US20140163962A1 (en) * | 2012-12-10 | 2014-06-12 | International Business Machines Corporation | Deep analysis of natural language questions for question answering system |
| CN106997370A (zh) * | 2015-08-07 | 2017-08-01 | 谷歌公司 | 基于作者的文本分类和转换 |
| US20170300632A1 (en) * | 2016-04-19 | 2017-10-19 | Nec Laboratories America, Inc. | Medical history extraction using string kernels and skip grams |
| CN106484674A (zh) * | 2016-09-20 | 2017-03-08 | 北京工业大学 | 一种基于深度学习的中文电子病历概念抽取方法 |
| US20200410050A1 (en) * | 2019-06-27 | 2020-12-31 | International Business Machines Corporation | Deep learning approach to computing spans |
Non-Patent Citations (1)
| Title |
|---|
| MAREK REI: "Semi-supervised multitask learning for sequence labeling", 《ARXIV PREPRINT ARXIV》, 31 December 2017 (2017-12-31) * |
Also Published As
| Publication number | Publication date |
|---|---|
| GB2598879A (en) | 2022-03-16 |
| JP2022537759A (ja) | 2022-08-29 |
| DE112020002129T5 (de) | 2022-05-05 |
| WO2020261002A1 (en) | 2020-12-30 |
| JP7549417B2 (ja) | 2024-09-11 |
| US20200410050A1 (en) | 2020-12-31 |
| US11379660B2 (en) | 2022-07-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11942221B2 (en) | Disambiguation of ambiguous portions of content for processing by automated systems | |
| JP7549417B2 (ja) | コンピューティング・スパンに対するディープ・ラーニング・アプローチ | |
| US10360301B2 (en) | Personalized approach to handling hypotheticals in text | |
| US11823798B2 (en) | Container-based knowledge graphs for determining entity relations in non-narrative text | |
| JP7357630B2 (ja) | 薬物副作用解析のための方法、コンピュータ・プログラム、および装置 | |
| US20180075011A1 (en) | Hybrid Approach to Handling Hypotheticals in Texts | |
| US11004550B2 (en) | Treatment recommendations based on drug-to-drug interactions | |
| US11275892B2 (en) | Traversal-based sentence span judgements | |
| US20180089383A1 (en) | Container-Based Knowledge Graphs for Determining Entity Relations in Medical Text | |
| US10380251B2 (en) | Mining new negation triggers dynamically based on structured and unstructured knowledge | |
| US11295080B2 (en) | Automatic detection of context switch triggers | |
| US20180096103A1 (en) | Verification of Clinical Hypothetical Statements Based on Dynamic Cluster Analysis | |
| US20180196921A1 (en) | Abbreviation Expansion in Clinical Notes Using Frequency and Context | |
| US20180121603A1 (en) | Identification of Related Electronic Medical Record Documents in a Question and Answer System | |
| US10839961B2 (en) | Identifying drug-to-drug interactions in medical content and applying interactions to treatment recommendations | |
| US20180089381A1 (en) | Cognitive Building of Medical Condition Base Cartridges for a Medical System | |
| US20180060503A1 (en) | Targeted Adjustment of Previous Insights Based on Changes to Positional Statements | |
| US20160098456A1 (en) | Implicit Durations Calculation and Similarity Comparison in Question Answering Systems | |
| US20190198137A1 (en) | Automatic Summarization of Patient Data Using Medically Relevant Summarization Templates | |
| US11334720B2 (en) | Machine learned sentence span inclusion judgments | |
| US20190198138A1 (en) | Automatic Expansion of Medically Relevant Summarization Templates Using Semantic Expansion | |
| Yan et al. | Mˆ 2-meddialog: A dataset and benchmarks for multi-domain multi-service medical dialogues |
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 | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20220104 |