Gentile et al., 2019 - Google Patents
Explore and exploit. Dictionary expansion with human-in-the-loopGentile et al., 2019
- Document ID
- 370608112822239755
- Author
- Gentile A
- Gruhl D
- Ristoski P
- Welch S
- Publication year
- Publication venue
- The Semantic Web: 16th International Conference, ESWC 2019, Portorož, Slovenia, June 2–6, 2019, Proceedings 16
External Links
Snippet
Abstract Many Knowledge Extraction systems rely on semantic resources-dictionaries, ontologies, lexical resources-to extract information from unstructured text. A key for successful information extraction is to consider such resources as evolving artifacts and …
- 238000000605 extraction 0 abstract description 35
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30634—Querying
- G06F17/30657—Query processing
- G06F17/30675—Query execution
- G06F17/30684—Query execution using natural language analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/2765—Recognition
- G06F17/277—Lexical analysis, e.g. tokenisation, collocates
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/2705—Parsing
- G06F17/2715—Statistical methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/21—Text processing
- G06F17/22—Manipulating or registering by use of codes, e.g. in sequence of text characters
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30705—Clustering or classification
- G06F17/3071—Clustering or classification including class or cluster creation or modification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/2785—Semantic analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30705—Clustering or classification
- G06F17/30707—Clustering or classification into predefined classes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30861—Retrieval from the Internet, e.g. browsers
- G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
- G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/28—Processing or translating of natural language
- G06F17/2809—Data driven translation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/02—Knowledge representation
- G06N5/022—Knowledge engineering, knowledge acquisition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning 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 |
---|---|---|
Campos et al. | YAKE! Keyword extraction from single documents using multiple local features | |
Nasar et al. | Information extraction from scientific articles: a survey | |
Singh | Natural language processing for information extraction | |
Kobayashi et al. | Text classification for organizational researchers: A tutorial | |
Tellez et al. | A case study of Spanish text transformations for twitter sentiment analysis | |
Mandal et al. | Unsupervised approaches for measuring textual similarity between legal court case reports | |
Li et al. | Tweet segmentation and its application to named entity recognition | |
US10949456B2 (en) | Method and system for mapping text phrases to a taxonomy | |
Gentile et al. | Explore and exploit. Dictionary expansion with human-in-the-loop | |
Yalcin et al. | An external plagiarism detection system based on part-of-speech (POS) tag n-grams and word embedding | |
Menai | Word sense disambiguation using evolutionary algorithms–Application to Arabic language | |
Kim et al. | Classifying protein-protein interaction articles using word and syntactic features | |
Brahmi et al. | Arabic texts analysis for topic modeling evaluation | |
Bhingardive et al. | Word sense disambiguation using IndoWordNet | |
Tulkens et al. | Unsupervised concept extraction from clinical text through semantic composition | |
Chang et al. | Using word semantic concepts for plagiarism detection in text documents | |
Yuan et al. | HClaimE: A tool for identifying health claims in health news headlines | |
Algburi et al. | Comparative analysis for arabic sentiment classification | |
Landolsi et al. | Hybrid medical named entity recognition using document structure and surrounding context | |
Reddy et al. | Named entity recognition on different languages: A survey | |
Yahi et al. | Morphosyntactic preprocessing impact on document embedding: An empirical study on semantic similarity | |
Alba et al. | Interactive Dictionary Expansion using Neural Language Models. | |
Jain et al. | Information extraction from CORD-19 using hierarchical clustering and word bank | |
Liu et al. | An infinite mixture model for coreference resolution in clinical notes | |
Chukwuocha et al. | Design of an interactive biomedical text mining framework to recognize real-time drug entities using machine learning algorithms |