Saziyabegum et al., 2017 - Google Patents
Review on text summarization evaluation methodsSaziyabegum et al., 2017
View PDF- Document ID
- 15727351401826399839
- Author
- Saziyabegum S
- Sajja P
- Publication year
- Publication venue
- Indian J. Comput. Sci. Eng
External Links
Snippet
There is ample amount of information available on internet. Important information can be gained by creating summary from available information. Manual creation of summary is difficult task. Hence research community is developing new approaches for automatic text …
- 238000011156 evaluation 0 title abstract description 38
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
- G06F17/2705—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
- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/2705—Parsing
- G06F17/271—Syntactic parsing, e.g. based on context-free grammar [CFG], unification grammars
-
- 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
- G06F17/2827—Example based machine translation; Alignment
-
- 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
-
- 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
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30587—Details of specialised database models
-
- 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
- G06F17/30861—Retrieval from the Internet, e.g. browsers
-
- 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
- G06F17/50—Computer-aided design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA 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
- G06Q10/00—Administration; Management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Oakes | Statistics for corpus linguistics | |
CN109284357B (en) | Man-machine conversation method, device, electronic equipment and computer readable medium | |
Janda et al. | Syntactic, semantic and sentiment analysis: The joint effect on automated essay evaluation | |
Gambhir et al. | Recent automatic text summarization techniques: a survey | |
US9519634B2 (en) | Systems and methods for determining lexical associations among words in a corpus | |
Read et al. | Weakly supervised techniques for domain-independent sentiment classification | |
Vajjala et al. | Readability assessment for text simplification: From analysing documents to identifying sentential simplifications | |
Saziyabegum et al. | Review on text summarization evaluation methods | |
Lalata et al. | A sentiment analysis model for faculty comment evaluation using ensemble machine learning algorithms | |
Broda et al. | Measuring Readability of Polish Texts: Baseline Experiments. | |
US20150243181A1 (en) | Systems and Methods for Automated Scoring of Textual Responses to Picture-Based Items | |
Palma et al. | Coherence-based automatic essay assessment | |
Almiman et al. | Deep neural network approach for Arabic community question answering | |
Gray | Tagging and counting linguistic features for multi-dimensional analysis | |
Haque et al. | Opinion mining from bangla and phonetic bangla reviews using vectorization methods | |
Somprasertsri et al. | Automatic product feature extraction from online product reviews using maximum entropy with lexical and syntactic features | |
Ban | A survey on awesome Korean NLP datasets | |
Palliyali et al. | Comparative study of extractive text summarization techniques | |
Schaaff et al. | Classification of human-and AI-generated texts for English, French, German, and Spanish | |
Kumar et al. | Rouge-ss: A new rouge variant for evaluation of text summarization | |
Skalicky et al. | Predictors of second language English lexical recognition: Further insights from a large database<? br?> of second language lexical decision times | |
Hailu | Opinion mining from Amharic blog | |
Santini et al. | Pinning down text complexity: An exploratory study on the registers of the stockholm-umeå corpus (suc) | |
Zhang et al. | Feature-based assessment of text readability | |
Hasan et al. | Sentiment Analysis of Twitter Data on Bank Central Asia Stocks (BBCA) Using RNN and CNN Model with GloVe Feature Expansion |