Yeniterzi et al., 2018 - Google Patents
Turkish named-entity recognitionYeniterzi et al., 2018
- Document ID
- 14456257319824324811
- Author
- Yeniterzi R
- Tür G
- Oflazer K
- Publication year
- Publication venue
- Turkish Natural Language Processing
External Links
Snippet
Named-entity recognition is an important task for many other natural language processing tasks and applications such as information extraction, question answering, sentiment analysis, machine translation, etc. Over the last decades named-entity recognition for …
- 238000004458 analytical method 0 abstract description 12
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
- G06F17/2775—Phrasal analysis, e.g. finite state techniques, chunking
- G06F17/278—Named entity recognition
-
- 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
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30613—Indexing
- G06F17/30619—Indexing indexing structures
-
- 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
- G06F17/30—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
- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/2795—Thesaurus; Synonyms
-
- 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
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Finkel et al. | Exploring the boundaries: gene and protein identification in biomedical text | |
Yan et al. | Named entity recognition by using XLNet-BiLSTM-CRF | |
Kumar et al. | Mastering text mining with R | |
US20130060769A1 (en) | System and method for identifying social media interactions | |
Jabbar et al. | An improved Urdu stemming algorithm for text mining based on multi-step hybrid approach | |
Meetei et al. | Low resource language specific pre-processing and features for sentiment analysis task | |
Qian et al. | Detecting new Chinese words from massive domain texts with word embedding | |
Barrière | Natural language understanding in a semantic web context | |
Amarappa et al. | Named entity recognition and classification in kannada language | |
Karim et al. | A step towards information extraction: Named entity recognition in Bangla using deep learning | |
Yeniterzi et al. | Turkish named-entity recognition | |
Shafiee et al. | Similarity versus relatedness: A novel approach in extractive Persian document summarisation | |
Wong et al. | iSentenizer‐μ: Multilingual Sentence Boundary Detection Model | |
Küçük | Automatic compilation of language resources for named entity recognition in Turkish by utilizing Wikipedia article titles | |
Fragkou | Applying named entity recognition and co-reference resolution for segmenting english texts | |
Elloumi et al. | General learning approach for event extraction: Case of management change event | |
Jia et al. | Enhanced character embedding for Chinese named entity recognition | |
Priyadarshi et al. | A study on the performance of recurrent neural network based models in Maithili part of speech tagging | |
Bahloul et al. | ArA* summarizer: An Arabic text summarization system based on subtopic segmentation and using an A* algorithm for reduction | |
Mekki et al. | Tokenization of Tunisian Arabic: a comparison between three Machine Learning models | |
Litvak et al. | Multilingual Text Analysis: Challenges, Models, and Approaches | |
Theivendiram et al. | Named-entity-recognition (ner) for tamil language using margin-infused relaxed algorithm (mira) | |
Baldwin et al. | Restoring punctuation and casing in English text | |
Wen | Text mining using HMM and PMM | |
Hakkani-Tür et al. | Morphological disambiguation for Turkish |