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[PDF] Top 20 Building and Applying Profiles Through Term Extraction

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Building and Applying Profiles Through Term Extraction

Building and Applying Profiles Through Term Extraction

... descriptors building process is to take into ac- count the fact that sometimes distinct entities can have quite unbalanced ...of term occurrences follows and exponen- tial ... See full document

10

The Quaero Evaluation Initiative on Term Extraction

The Quaero Evaluation Initiative on Term Extraction

... at building automatically or semi- automatically terminological resources from ...of term extraction, but it was not reconducted due to its lack of ...evaluate term recognition in corpora (a ... See full document

7

The Impact Of Stop Words Processing For Improving Extractive Graph-Based Arabic Text Summarization

The Impact Of Stop Words Processing For Improving Extractive Graph-Based Arabic Text Summarization

... features extraction and building the summarization model stage, and finally applying the summarization ranking algorithms and extracting the summary ...features extraction and summarization ... See full document

6

Evaluation of cutoff policies for term extraction

Evaluation of cutoff policies for term extraction

... An important information about these corpora is the fact that they were carefully revised manually to pre- vent frequent textual problems such as char encoding and inclusion of non-phrasal information. Unfortunately, the ... See full document

13

Squalene Extraction: Biological Sources and Extraction Methods

Squalene Extraction: Biological Sources and Extraction Methods

... squalene extraction, many investigations have focused on obtaining best yield as possible, some of the most profitable squalene sources, would be by-products from industrial processes, since squalene is mostly ... See full document

9

Automatic Term Extraction Based on Perplexity of Compound Words

Automatic Term Extraction Based on Perplexity of Compound Words

... those on 10 and 50 articles. This was mainly caused by the fact that the av- erage precision is tend to be high on articles of short length, and the average length for one article was much shorter than that of ten ... See full document

11

Ultra Energy Efficient Building For Housing Sector

Ultra Energy Efficient Building For Housing Sector

... Abstract: Day by day the demand for electricity is increasing. With increasing population and industrialization, electricity consumption has been abruptly increased. The main source of today’s electricity generation is ... See full document

11

Study of prime numbers through their historical development applying Matlab

Study of prime numbers through their historical development applying Matlab

... Over the last few years, the subject of prime numbers has produced abundant literature in the research world. There has been research in number theory both basic and using computer application. One of the subjects most ... See full document

7

Identification of Leaf using DWT and SVM Classifier

Identification of Leaf using DWT and SVM Classifier

... ABSTRACT: In tropical regions, leaf identification is a challenging task, amongst the entire organ which are utilized in plant identification, leafs are probably the most used ones when compare to other organ. For ... See full document

6

Term Validation for Vocabulary Construction and Key Term Extraction

Term Validation for Vocabulary Construction and Key Term Extraction

... Our plans are to conduct more experiments and to use n-grams of any size for validation of a par- ticular n-gram (not only with the same number of words). Further work is connected with exploring various model ... See full document

5

A Novel Approach to Semantic Indexing Based on Concept

A Novel Approach to Semantic Indexing Based on Concept

... addition, term frequency cannot represent the exact term frequency because it does not include anaphoras, synonyms, and so ...index term needs be ...because term frequency factors are numerous ... See full document

6

Applying Graph based Keyword Extraction to Document Retrieval

Applying Graph based Keyword Extraction to Document Retrieval

... Keyword extraction with plus sign means that the PageRank-based ranking algorithm was used for the keyword extraction ...each term in the documents were replaced with the values from the graph-based ... See full document

5

Applying Data Mining Principles in the Extraction of Digital Evidence

Applying Data Mining Principles in the Extraction of Digital Evidence

... entity extraction, clustering techniques, deviation detection, classification, and lastly string ...by applying a graph bipartite partitioning algorithm ...usage profiles based upon sequences of ... See full document

9

Extraction, Characterization and Fatty Acids Profiles of Nymphaea Lotus and Nymphaea Pubescens Seed Oils

Extraction, Characterization and Fatty Acids Profiles of Nymphaea Lotus and Nymphaea Pubescens Seed Oils

... Fats and oils are part of food constituents, and may play a vital role in cosmetics and pharmaceuticals industries. There are several underutilized plants which their seeds have not been fully studied in terms of oil ... See full document

9

efita05 index term extraction agriculture

efita05 index term extraction agriculture

... keyphrase extraction, the phrases that occur in the document are analyzed to identify apparently significant ones, on the basis of intrinsic properties such as frequency and ...“index term assignment” ... See full document

8

Terminology Extraction with Term Variant Detection

Terminology Extraction with Term Variant Detection

... tracted term-like units that may not be terms, syntactically or terminologically; Sorting of the term candidates according to their unit- hood, their terminological degree and their most interest for the ... See full document

6

Fault-Tolerant Learning for Term Extraction

Fault-Tolerant Learning for Term Extraction

... Chinese term extraction show significant improvements over existing techniques and also verify the efficiency and relative domain independent nature of the ... See full document

10

Evaluating Term Extraction Methods for Interpreters

Evaluating Term Extraction Methods for Interpreters

... pattern, term variants (if any), ...that term candidates can be output with their corresponding term ...for term extraction (Lafferty et ...does term extraction by ... See full document

8

Preliminary study on an ontology learning from textual data

Preliminary study on an ontology learning from textual data

... In most cases the layers conceptually built one upon another in the sense that the processes within higher layers rely on the output of processes situated at lower layer. Figure 2 include concrete example from the domain ... See full document

6

Applying Genetic Programming to the Problem of Term Weight Algorithms

Applying Genetic Programming to the Problem of Term Weight Algorithms

... The results recorded in the tables presented in this section were obtained using a text signature representation of the query created by stemming and then hashing each substantive query term to single position in ... See full document

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