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Using a text model for analysis and generation
1985
Proceedings of the second conference on European chapter of the Association for Computational Linguistics -
unpublished
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This process is done in six steps : word analysis, sentence analysis using a Functional Grammar, reference soiving and inference, construction of the text pattern, sentence generation, and word generation ...
Our system processes the text as a whole, from which it extracts a representation of the meaning of the text. From this representation, a new text is generated, using a text modei and action ruies. ...
It consists of lexical data, a Functional Grammar, a knowledge network, action rules for reference solving and sentence generation, models of text, rules of structuration, and sentence schema. ...
doi:10.3115/976931.976964
fatcat:5kwdhqlarzd43kq5upgqr3ajjy
August 2016 VOLUME 5, ISSUE 8, AUGUST 2016 5th Generation Wi-Fi Shatha Ghazal, Raina S Alkhlailah Abstract | PDF with Text | DOI: 10.17148/IJARCCE.2016.5801 ECG Arrhythmia Detection Using Choi-Williams Time-Frequency Distribution and Artificial Neural Network Sanjit K. Dash, G. Sasibhushana Rao Abstract | PDF with Text | DOI: 10.17148/IJARCCE.2016.5802 Data Security using RSA Algorithm in Cloud Computing Santosh Kumar Singh, Dr. P.K. Manjhi, Dr. R.K. Tiwari Abstract | PDF with Text | DOI: 10.17148/IJARCCE.2
...
2016
IJARCCE
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This would increase precision and recall for the semantic search when compared to traditional search. ...
This paper discussed query terms with semantic search for retrieval of web content using different semantic indexing techniques. ...
This is used to find the conceptual information of each term using Wordnet ontology, however it determine the generality and specificity for a term such as the senses, synonyms, hypernym and the hyponyms ...
doi:10.17148/ijarcce.2016.5869
fatcat:ihbu5ekllnhqjbuw6yeetnin3q
VOLUME 4, ISSUE 2 VOLUME 4, ISSUE 1 VOLUME 3, ISSUE 12 VOLUME 3, ISSUE 11 VOLUME 3, ISSUE 10 VOLUME 3, ISSUE 9 VOLUME 3, ISSUE 8 VOLUME 3, ISSUE 7 VOLUME 3, ISSUE 6 VOLUME 3, ISSUE 5 VOLUME 3, ISSUE 4 VOLUME 3, ISSUE 3 VOLUME 3, ISSUE 2 VOLUME 3, ISSUE 1 VOLUME 2, ISSUE 12 VOLUME 2, ISSUE 11 VOLUME 2, ISSUE 10 VOLUME 2, ISSUE 9 VOLUME 2, ISSUE 8 VOLUME 2, ISSUE 7 VOLUME 2, ISSUE 6 VOLUME 2, ISSUE 5 VOLUME 2, ISSUE 4 VOLUME 2, ISSUE 3 VOLUME 2, ISSUE 2 VOLUME 2, ISSUE 1 2012 VOLUME 1, ISSUE 10 VOLUME 1, ISSU
...
2017
IJARCCE
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Petri nets are a well-known formalism for the description of concurrency and synchronization inherent in modern distributed systems. ...
Then we are going to analyse and simulate the model using the Petri Net Toolbox in Matlab. At the end the collected results from analyses will be discussed. ...
To confirm this and to analyse the model we used the Petri net Toolbox. The tool was not able to return some properties for the net because it was ordinary. ...
doi:10.17148/ijarcce.2017.6112
fatcat:szq22a63mbartmsx5inoot6hpu
Explanation-Guided Fairness Testing through Genetic Algorithm
[article]
2022
arXiv
pre-print
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2022 pre-print arXiv:2202.02830v1 fatcat:7ksxw3jbofclnhcs3qiry2wwquOther Versions
Moreover, ExpGA only requires prediction probabilities of the tested model, resulting in a better generalization capability to various models. ...
The fairness characteristic is a critical attribute of trusted AI systems. A plethora of research has proposed diverse methods for individual fairness testing. ...
A.2 Synthetic Data Generation with RecSim We use a stylized, but structurally realistic generative model to produce synthetic ratings and tag data for some of our experiments. ...
arXiv:2205.08335v1
fatcat:kwcxbsoif5ct3cq4m4i77rwee4
Synthetic Text Generation for Sentiment Analysis
2015
Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
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In a series of experiments using different data sets and sentiment analysis methods, we show that generative models can generate texts with a specific sentiment and that hidden Markov model based text ...
In this paper, we present a preliminary study on different generative models for text generation, which maintain specific properties of natural language text, i.e., the sentiment of a review text. ...
We present a primary study on three different generative models for text generation. LDA and MC are used for text generation in previous work (Ming et al., 2014; Ghazal et al., 2013) . ...
doi:10.18653/v1/w15-2922
dblp:conf/wassa/Maqsud15
fatcat:ykx7qkc7irct3pd2p4blfo3aoq
An Analysis on Text Mining Techniques for Smart Literature Review
2021
International Journal of Advanced Trends in Computer Science and Engineering
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To automate the literature analysis process different techniques of text mining were used. This paper provides a review of text mining techniques used in automatic literature analysis. ...
With the development of web technologies, databases and social networks etc. a large amount of text data is generated each day. Mostof the data on the internet is in unstructured form. ...
Topic Modeling The most widely used text mining technique for literature analysis is topic modeling, topic modeling is an efficient and systematic technique in analyzing a large number of documents in ...
doi:10.30534/ijatcse/2021/1121022021
fatcat:yttfs3gqsrcqxm7abv2wbsnoku
Special Issue No. – 10, June, 2020 Journal > Special Issue > Special Issue No. – 10, June, 2020 > Page 5 "Quantative Methods in Modern Science" organized by Academic Paper Ltd, Russia MORPHOLOGICAL AND ANATOMICAL FEATURES OF THE GENUS GAGEA SALISB., GROWING IN THE EAST KAZAKHSTAN REGION Authors: Zhamal T. Igissinova,Almash A. Kitapbayeva,Anargul S. Sharipkhanova,Alexander L. Vorobyev,Svetlana F. Kolosova,Zhanat K. Idrisheva, DOI: https://doi.org/10.26782/jmcms.spl.10/2020.06.00041 Abstract: Due to ecologica
...
2020
JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES
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The proposed technology can be used to reinforce work surfaces of new cylinder sleeves and recover worn out ones. ...
A combined coating formation technology is described that consists in applying an aluminum layer to the sleeve's work face by gas dynamic spraying and then covering this face with a ceramic layer by microarc ...
efficiency of the global practice of using vanadium for wear reduction and reducing the friction coefficient. ...
doi:10.26782/jmcms.spl.10/2020.06.00048
fatcat:h7qchlrvi5dxpn5fadbtf2c2zu
A Comparison of LSA and LDA for the Analysis of Railroad Accident Text
2019
Journal of Ubiquitous Systems and Pervasive Networks
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Latent Semantic Analysis (LSA) and Latent Dirichlet Allocation(LDA) were used to identify themes in a database of text about railroad equipment accidents maintained by the Federal Railroad Administration ...
LSA identified accidents with track maintenance equipment as a topic. Both text mining models identified accidents with tractor-trailer highway trucks as a particular problem at grade crossings. ...
LDA is a generative probabilistic model for collections of discrete data such as text corpora. The underlying assumption of LDA is that a text document will consist of multiple themes. ...
doi:10.5383/juspn.11.01.002
fatcat:zctbvwoiqnh7hg7kmcdwh57nkm
Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators
[article]
2022
arXiv
pre-print
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Experimenting with both blog and Twitter data, we utilise GPT-2 language models to generate texts using the existing posts of online users. ...
These models have shown state-of-the-art capabilities towards a variety of different NLP tasks, including question answering, content summarisation, and text generation. ...
texts were used for both training and testing and when AI-generated deceptive texts were used in testing. ...
arXiv:2203.09813v1
fatcat:wt7rwixfqfgc5hooqqgbn63hzi
From Natural Language Text to Visual Models: A survey of Issues and Approaches
2016
Informatică economică
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This paper aims to give a comprehensive account of the existing tools meant to discover data and process models from natural language text. ...
Our analysis focuses on approaches of these tools in the model extraction process and highlight issues of each proposed approach. ...
After text analysis, two files are generated: a) a structured text file containing the log of the extraction process and b) a business process proto-model generated from a) using BPMN. ...
doi:10.12948/issn14531305/20.4.2016.05
fatcat:ayxc7vk7wnhovpoeggeyaq23qi
An Analysis Method for Interpretability of CNN Text Classification Model
2020
Future Internet
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This paper proposes an analysis method for interpretability of a CNN text classification model. ...
The method proposed by us can perform multi-angle analysis on the discriminant results of multi-classified text and multi-label classification tasks through backtracking analysis on model prediction results ...
In general, for short text with a length of less than 50 words, we recommend using one convolutional pooling layer. ...
doi:10.3390/fi12120228
fatcat:hk3rkqovvrhe7p24stcwce4aje
Probabilistic Topic Models for Text Data Retrieval and Analysis
2017
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '17
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As a new family of e ective general approaches to text data retrieval and analysis, probabilistic topic models, notably Probabilistic Latent Semantic Analysis (PLSA), Latent Dirichlet Allocations (LDA) ...
data; they also provide a general and robust latent semantic representation of text data, thus improving many applications in information retrieval and text mining. ...
to extract any needed knowledge for a task (i.e. text data analysis). ...
doi:10.1145/3077136.3082067
dblp:conf/sigir/Zhai17
fatcat:qp4ppcciefasxdx7efxp4fncxi
Using GAN-based models to sentimental analysis on imbalanced datasets in education domain
[article]
2021
arXiv
pre-print
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Two SOTA category-aware text generation GAN models: CatGAN and SentiGAN, are utilized to synthesize text used to balance the highly imbalanced dataset. ...
This paper trains machine learning and deep learning models using both balanced and imbalanced datasets for sentiment classification. ...
For text generation models, they used the newly proposed GPT-2 and LSTM based text generation model to balance the highly unbalanced text dataset. ...
arXiv:2108.12061v1
fatcat:pkzclefb5bgwfh4pwwovcmti4u
A Rapid Review of Image Captioning
2021
Journal of Information Technology and Computer Science
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Image captioning is an automatic process for generating text based on the content observed in an image. We do review, create framework, and build application model. ...
Furthermore, we also build application with 3 application models. We also provide research opinions on trends and future research that can be developed with image caption generation. ...
Image captioning generation has become a multidisciplinary research model (image analysis, text analysis, and content analysis), integration of applications and models (computer vision, machine learning ...
doi:10.25126/jitecs.202162316
fatcat:jebopkpe65gr3puusjzr4yzegy
An Efficient Aspect based Sentiment Analysis Model by the Hybrid Fusion of Speech and Text Aspects
2021
International Journal of Advanced Computer Science and Applications
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A deep learning and language model is implemented for acoustic feature extraction in speech. Different variants of text feature extraction techniques are used for aspect extraction in text. ...
Aspect-based Sentiment Analysis (ABSA) is treated to be a challenging task in the domain of speech, as it needs the fusion of acoustic features and Linguistic features for information retrieval and decision ...
The features on text are generally called as linguistic features and play a very crucial role in sentiment analysis. ...
doi:10.14569/ijacsa.2021.0120920
fatcat:6opcy2s2qfaf7axzn5rieujvqq
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