GB2598879A - Deep learning approach to computing spans - Google Patents

Deep learning approach to computing spans Download PDF

Info

Publication number
GB2598879A
GB2598879A GB2200551.6A GB202200551A GB2598879A GB 2598879 A GB2598879 A GB 2598879A GB 202200551 A GB202200551 A GB 202200551A GB 2598879 A GB2598879 A GB 2598879A
Authority
GB
United Kingdom
Prior art keywords
highlighted
training
text
computing processor
new
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.)
Withdrawn
Application number
GB2200551.6A
Other languages
English (en)
Inventor
Cason Joshua
Mwarabu Chris
Hay Rogers Thomas
Allen Corville
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
International Business Machines Corp
Original Assignee
International Business Machines Corp
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by International Business Machines Corp filed Critical International Business Machines Corp
Publication of GB2598879A publication Critical patent/GB2598879A/en
Withdrawn legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/20Natural language analysis
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/30Semantic analysis
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/20Natural language analysis
    • G06F40/205Parsing
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/20Natural language analysis
    • G06F40/279Recognition of textual entities
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computing arrangements using knowledge-based models
    • G06N5/01Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computing arrangements using knowledge-based models
    • G06N5/02Knowledge representation; Symbolic representation
    • G06N5/022Knowledge engineering; Knowledge acquisition
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computing arrangements using knowledge-based models
    • G06N5/04Inference or reasoning models
    • G06N5/041Abduction
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/20ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20ICT 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
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H70/00ICT specially adapted for the handling or processing of medical references
    • G16H70/20ICT specially adapted for the handling or processing of medical references relating to practices or guidelines
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H70/00ICT specially adapted for the handling or processing of medical references
    • G16H70/60ICT 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)
  • Artificial Intelligence (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Linguistics (AREA)
  • Evolutionary Computation (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Biomedical Technology (AREA)
  • Public Health (AREA)
  • Pathology (AREA)
  • Databases & Information Systems (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Machine Translation (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Medical Treatment And Welfare Office Work (AREA)
GB2200551.6A 2019-06-27 2020-06-05 Deep learning approach to computing spans Withdrawn GB2598879A (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
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
GB2598879A true GB2598879A (en) 2022-03-16

Family

ID=74044096

Family Applications (1)

Application Number Title Priority Date Filing Date
GB2200551.6A Withdrawn GB2598879A (en) 2019-06-27 2020-06-05 Deep learning approach to computing spans

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=)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US12032906B2 (en) 2020-11-30 2024-07-09 Beijing Baidu Netcom Science And Technology Co., Ltd. Method, apparatus and device for quality control and storage medium

Families Citing this family (9)

* Cited by examiner, † Cited by third party
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
US11520972B2 (en) * 2020-08-04 2022-12-06 International Business Machines Corporation Future potential natural language processing annotations
US11755822B2 (en) 2020-08-04 2023-09-12 International Business Machines Corporation Promised natural language processing annotations
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 (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
US9715662B2 (en) * 2013-01-28 2017-07-25 International Business Machines Corporation Inconsistency detection between structured and non-structured data
US20170300632A1 (en) * 2016-04-19 2017-10-19 Nec Laboratories America, Inc. Medical history extraction using string kernels and skip grams
US20180150607A1 (en) * 2016-11-30 2018-05-31 Welltok, Inc. Synthetic ground truth expansion
US20190057191A1 (en) * 2017-08-21 2019-02-21 International Business Machines Corporation Cognitive framework to identify medical case safety reports in free form text

Family Cites Families (18)

* Cited by examiner, † Cited by third party
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
CN1618064B (zh) * 2002-01-29 2010-05-05 国际商业机器公司 翻译方法与计算机设备
US9471559B2 (en) * 2012-12-10 2016-10-18 International Business Machines Corporation Deep analysis of natural language questions for question answering system
US9244909B2 (en) * 2012-12-10 2016-01-26 General Electric Company System and method for extracting ontological information from a body of text
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
US10083157B2 (en) * 2015-08-07 2018-09-25 Google Llc Text classification and transformation based on author
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
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
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
US11379660B2 (en) * 2019-06-27 2022-07-05 International Business Machines Corporation Deep learning approach to computing spans

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9715662B2 (en) * 2013-01-28 2017-07-25 International Business Machines Corporation Inconsistency detection between structured and non-structured data
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
US20180150607A1 (en) * 2016-11-30 2018-05-31 Welltok, Inc. Synthetic ground truth expansion
US20190057191A1 (en) * 2017-08-21 2019-02-21 International Business Machines Corporation Cognitive framework to identify medical case safety reports in free form text

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US12032906B2 (en) 2020-11-30 2024-07-09 Beijing Baidu Netcom Science And Technology Co., Ltd. Method, apparatus and device for quality control and storage medium

Also Published As

Publication number Publication date
JP7549417B2 (ja) 2024-09-11
JP2022537759A (ja) 2022-08-29
CN113892150A (zh) 2022-01-04
US11379660B2 (en) 2022-07-05
WO2020261002A1 (en) 2020-12-30
DE112020002129T5 (de) 2022-05-05
US20200410050A1 (en) 2020-12-31

Similar Documents

Publication Publication Date Title
GB2598879A (en) Deep learning approach to computing spans
JP2022537759A5 (https=)
CN109933602B (zh) 一种自然语言与结构化查询语言的转换方法及装置
CN111916058B (zh) 一种基于增量词图重打分的语音识别方法及系统
US11501082B2 (en) Sentence generation method, sentence generation apparatus, and smart device
US20210012199A1 (en) Address information feature extraction method based on deep neural network model
RU2692427C1 (ru) Система определения интереса, способ определения интереса и носитель информации
RU2010111780A (ru) Двухпроходное хеш извлечение текстовых строк
US11669691B2 (en) Information processing apparatus, information processing method, and computer readable recording medium
CN117575026B (zh) 基于外部知识增强的大模型推理分析方法、系统及产品
EP4116884A3 (en) Method and apparatus for training tag recommendation model, and method and apparatus for obtaining tag
EA033096B1 (ru) Способ преобразования структурированного массива данных
Akdemir et al. Multimodal and multilingual understanding of smells using vilbert and muniter
US11687725B2 (en) Computer-implemented method and device for processing data
CN106980898A (zh) 深度学习系统及其使用方法
GB2610098A (en) Cooperative neural networks with spatial containment constraints
Qiang et al. Enhancing few-shot KB-VQA with panoramic image captions guided by Large Language Models
Patil et al. Cnrl at semeval-2020 task 5: Modelling causal reasoning in language with multi-head self-attention weights based counterfactual detection
Lingyun et al. Efficient Viterbi beam search algorithm using dynamic pruning
CN110852112A (zh) 词向量嵌入方法及装置
CN111857728B (zh) 一种代码摘要生成方法和装置
Gómez-Rodríguez Natural language processing and the Now-or-Never bottleneck
CN102945231A (zh) 一种面向增量式翻译的结构化语言模型构建方法及系统
Younis et al. Hybridization of self supervised learning models for enhancing automatic arabic speech recognition
CN115796029A (zh) 基于显式及隐式特征解耦的nl2sql方法

Legal Events

Date Code Title Description
WAP Application withdrawn, taken to be withdrawn or refused ** after publication under section 16(1)