[go: up one dir, main page]

Fei et al., 2023 - Google Patents

GFMRC: A machine reading comprehension model for named entity recognition

Fei et al., 2023

Document ID
1349352962104030814
Author
Fei Y
Xu X
Publication year
Publication venue
Pattern Recognition Letters

External Links

Snippet

Recent advances in natural language representation have enabled the internal state of an upstream trained model to migrate to downstream tasks such as named entity recognition (NER). To better utilize pretrained models to perform NER tasks, the latest approach …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634Querying
    • G06F17/30657Query processing
    • G06F17/3066Query translation
    • G06F17/30669Translation of the query language, e.g. Chinese to English
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634Querying
    • G06F17/30657Query processing
    • G06F17/30675Query execution
    • G06F17/30684Query execution using natural language analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20Handling natural language data
    • G06F17/27Automatic analysis, e.g. parsing
    • G06F17/2705Parsing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20Handling natural language data
    • G06F17/27Automatic analysis, e.g. parsing
    • G06F17/2765Recognition
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30613Indexing
    • G06F17/30619Indexing indexing structures
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20Handling natural language data
    • G06F17/21Text processing
    • G06F17/22Manipulating or registering by use of codes, e.g. in sequence of text characters
    • G06F17/2247Tree structured documents; Markup, e.g. Standard Generalized Markup Language [SGML], Document Type Definition [DTD]
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20Handling natural language data
    • G06F17/28Processing or translating of natural language
    • G06F17/2809Data driven translation
    • G06F17/2827Example based machine translation; Alignment
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20Handling natural language data
    • G06F17/21Text processing
    • G06F17/24Editing, e.g. insert/delete
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30731Creation of semantic tools
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861Retrieval from the Internet, e.g. browsers
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/02Knowledge representation
    • G06N5/022Knowledge engineering, knowledge acquisition
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run

Similar Documents

Publication Publication Date Title
Lyu et al. Long short-term memory RNN for biomedical named entity recognition
Yan et al. Named entity recognition by using XLNet-BiLSTM-CRF
Huang et al. Bert-based multi-head selection for joint entity-relation extraction
CN111382565A (en) Multi-label-based emotion-reason pair extraction method and system
Sun et al. Capturing global informativeness in open domain keyphrase extraction
Jin et al. Inter-sentence and implicit causality extraction from chinese corpus
Fei et al. GFMRC: A machine reading comprehension model for named entity recognition
Li et al. DUTIR at the CCKS-2019 Task1: Improving Chinese clinical named entity recognition using stroke ELMo and transfer learning
Li et al. Application of the transformer model algorithm in chinese word sense disambiguation: a case study in chinese language
Narzary et al. Deep learning based named entity recognition for the bodo language
Su et al. Unified named entity recognition as multi-label sequence generation
Li et al. A method for named entity recognition in social media texts with syntactically enhanced multiscale feature fusion
Phan et al. FeDN2: fuzzy-enhanced deep neural networks for improvement of sentence-level sentiment analysis
Wang et al. A BERT-based named entity recognition in Chinese electronic medical record
Xue et al. A method of chinese tourism named entity recognition based on bblc model
Alwaneen et al. Stacked dynamic memory-coattention network for answering why-questions in Arabic
Zaman et al. Intelligent abstractive summarization of scholarly publications with transfer learning
CN114491209A (en) Method and system for enterprise business tag mining based on Internet information capture
Khazeni et al. Persian Slang Text Conversion to Formal and Deep Learning of Persian Short Texts on Social Media for Sentiment Classification
Zim et al. Exploring word2vec embedding for sentiment analysis of bangla raw and romanized text
Hu et al. rT5: A retrieval-augmented pre-trained Model for ancient Chinese entity description generation
Chattu et al. Sentiment analysis using deep learning approaches on multi-domain dataset in telugu language
Zhang et al. CHTopoNER model-based method for recognizing Chinese place names from social media information
Li et al. Multi-level emotion cause analysis by multi-head attention based multi-task learning
Sathyanarayanan et al. Kannada named entity recognition and classification using bidirectional long short-term memory networks