[go: up one dir, main page]

Zhukova et al., 2021 - Google Patents

ANEA: Automated (named) entity annotation for German domain-specific texts

Zhukova et al., 2021

View PDF
Document ID
12139957144912943829
Author
Zhukova A
Hamborg F
Gipp B
Publication year
Publication venue
arXiv preprint arXiv:2112.06724

External Links

Snippet

Named entity recognition (NER) is an important task that aims to resolve universal categories of named entities, eg, persons, locations, organizations, and times. Despite its common and viable use in many use cases, NER is barely applicable in domains where …
Continue reading at arxiv.org (PDF) (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
    • G06F17/30705Clustering or classification
    • G06F17/3071Clustering or classification including class or cluster creation or modification
    • 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
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30705Clustering or classification
    • G06F17/30707Clustering or classification into predefined classes
    • 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
    • G06F17/20Handling natural language data
    • G06F17/27Automatic analysis, e.g. parsing
    • G06F17/2785Semantic analysis
    • 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
    • G06F17/30864Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
    • 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
    • G06F17/30Information 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
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
    • 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints

Similar Documents

Publication Publication Date Title
Inzalkar et al. A survey on text mining-techniques and application
Mukwazvure et al. A hybrid approach to sentiment analysis of news comments
Aker et al. A graph-based approach to topic clustering for online comments to news
Hua et al. Probabilistic topic modeling for comparative analysis of document collections
Wings et al. A context-aware approach for extracting hard and soft skills
Sujatha et al. Taxonomy construction techniques–issues and challenges
Aravindan et al. Feature extraction and opinion mining in online product reviews
Hossari et al. TEST: A terminology extraction system for technology related terms
Zandbiglari et al. Capability language processing (CLP): Classification and ranking of manufacturing suppliers based on unstructured capability data
Bhaskaran et al. Intelligent Machine Learning with Metaheuristics Based Sentiment Analysis and Classification.
Perez-Tellez et al. On the difficulty of clustering microblog texts for online reputation management
Shetty et al. Auto text summarization with categorization and sentiment analysis
Moutidis et al. Utilizing complex networks for event detection in heterogeneous high-volume news streams
Zhang et al. Text mining with application to academic libraries
Zhukova et al. ANEA: Automated (named) entity annotation for German domain-specific texts
Rao et al. Keyword extraction in scientific documents
Chatzakou et al. Multispot: Spotting sentiments with semantic aware multilevel cascaded analysis
Xu et al. JCTC: a large job posting corpus for text classification
Audeh et al. Comparative study of unsupervised keyword extraction methods for job recommendation in an industrial environment
Begum et al. Comparative Analysis on Automatic Keyphrase Extraction (AKPE) Techniques
Hussain et al. Urdu-Punjabi Code Switched Sentiment Analysis Empowered by a Deep Learning Framework Integrating XLM-R, and GPT
Pera et al. Using maximal spanning trees and word similarity to generate hierarchical clusters of non-redundant RSS news articles
Bonthu et al. TextRank–Based Keyword Extraction for Constructing a Domain-Specific Dictionary
Hayat et al. Self learning of news category using ai techniques
Antes Neural Topic Modeling with BERTopic: Submodel Selection Factors and Overall Model Evaluation Metrics