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Automatic Authorship Detection Using Textual Patterns Extracted from Integrated Syntactic Graphs

Helena Gómez-Adorno, Grigori Sidorov, David Pinto, Darnes Vilariño, Alexander Gelbukh
2016 Sensors  
We extract textual patterns based on features obtained from shortest path walks over integrated syntactic graphs and apply them to determine the authors of documents.  ...  This graph-based representation allows integrating different levels of language description into a single structure.  ...  Section 4 describes our method for calculating graph similarities based on patterns extracted with shortest path traversal of the graph representation of texts.  ... 
doi:10.3390/s16091374 pmid:27589740 pmcid:PMC5038652 fatcat:ieymx7ngzzacbbodluf7bt6poe

Towards a High-Level Audio Framework for Video Retrieval Combining Conceptual Descriptions and Fully-Automated Processes [chapter]

Mbarek Charhad, Mohammed Belkhatir
2005 Lecture Notes in Computer Science  
It relies on an expressive representation formalism handling high-level audio descriptions of a video document and a full-text query framework in an attempt to operate video indexing and retrieval on audio  ...  This paper presents a multi-facetted conceptual framework integrating multiple characterizations of the audio content for automatic video retrieval.  ...  We aim at analyzing the transcription content for speaker identification in each segment using linguistic patterns. First, we propose to categorize these patterns.  ... 
doi:10.1007/11581772_72 fatcat:qpz4ope3hbakrneuru4srbocxy

Building a concept hierarchy from corpus analysis

Caroline Barrière
2004 Terminology  
The Conceptual Graph formalism chosen for conceptual representation allows a compositional view of concepts, which is relevant for their comparison and their organization in a concept lattice.  ...  Corpus analysis is today at the heart of building Terminological Knowledge Bases (TKBs).  ...  We now examine each step: Identification of semantic relations in text This is the only step actually performed in SeRT. It works with a flexible definition of linguistic patterns.  ... 
doi:10.1075/term.10.2.05bar fatcat:46vszykzlrb2hc2oq6uzkuiomy

A brief review on text summarization methods

Rasmita Rautray, Lopamudra Swain, Rasmita Dash, Rajashree Dash
2018 International Journal of Engineering & Technology  
In this study, different aspects of text summarization methods with strength, limitation and gap within the methods are presented.  ...  In present scenario, text summarization is a popular and active field of research in both the Information Retrieval (IR) and Natural Language Processing (NLP) communities.  ...  In the next step, texts are processed based on types and methods appropriate for summary representation then sentences for summary is generated.  ... 
doi:10.14419/ijet.v7i4.5.25070 fatcat:jngcd3l4bnfernfudwddaeq7wi

Sar-graphs: A language resource connecting linguistic knowledge with semantic relations from knowledge graphs

Sebastian Krause, Leonhard Hennig, Andrea Moro, Dirk Weissenborn, Feiyu Xu, Hans Uszkoreit, Roberto Navigli
2016 Journal of Web Semantics  
Using these seeds, our method extracts, validates and merges relationspecific linguistic patterns from text to create sar-graphs.  ...  Instances of this resource are graphs of semantically-associated relations (sar-graphs), whose purpose is to link semantic relations from factual knowledge graphs with their linguistic representations  ...  Knowledge-base population One of the main goals of relation extraction is the automatic identification of novel relation instances from raw text to populate a knowledge base with new facts.  ... 
doi:10.1016/j.websem.2016.03.004 fatcat:o33kiij265hhrgyggkeq4w3ycu

Sar-Graphs: A Language Resource Connecting Linguistic Knowledge with Semantic Relations from Knowledge Graphs

Sebastian Krause, Leonhard Hennig, Andrea Moro, Dirk Weissenborn, Feiyu Xu, Hans Uszkoreit, Roberto Navigli
2016 Social Science Research Network  
Using these seeds, our method extracts, validates and merges relationspecific linguistic patterns from text to create sar-graphs.  ...  Instances of this resource are graphs of semantically-associated relations (sar-graphs), whose purpose is to link semantic relations from factual knowledge graphs with their linguistic representations  ...  Knowledge-base population One of the main goals of relation extraction is the automatic identification of novel relation instances from raw text to populate a knowledge base with new facts.  ... 
doi:10.2139/ssrn.3199232 fatcat:qds3iq45tzfbxp5rzoauuvqgg4

Online Writing Data Representation: A Graph Theory Approach [chapter]

Gilles Caporossi, Christophe Leblay
2011 Lecture Notes in Computer Science  
In this paper, we propose a representation technique based upon graph theory that provides a new viewpoint to understand the writing process.  ...  The identification of these subgraphs is useful to analyze the graph as a representation of the writing process.  ...  Analysis of Graphical Patterns Different avenues are possible to the analysis of graphs and we will concentrate here on the most useful ones.  ... 
doi:10.1007/978-3-642-24800-9_10 fatcat:qzuhjq4yvjcl7j4e7mx37ez4wy

UNICOMP: Identification of Enterprise Competencies to Build Collaborative Networks [chapter]

Kafil Hajlaoui, Xavier Boucher, Omar Boussaid
2010 IFIP Advances in Information and Communication Technology  
Due to the complexity of the notion of competence, this contribution is based on a semantic representation of information using semantic ontology, bonds and a linguistic treatment based on the utilization  ...  of syntactic patterns.  ...  Some research on competencies identification techniques are based on the analysis of texts presenting rather homogeneous and structured data.  ... 
doi:10.1007/978-3-642-15961-9_46 fatcat:af2g45l3nncl5h3jqkvzh6knoi

Yet Another Ranking Function for Automatic Multiword Term Extraction [chapter]

Juan Antonio Lossio-Ventura, Clement Jonquet, Mathieu Roche, Maguelonne Teisseire
2014 Lecture Notes in Computer Science  
Graph representations of text and scoring function definition are two widely explored research topics, but few studies have been focused on graph-based IR in terms of both document representation and weighting  ...  Text Mining Approaches Linguistic Approaches. These techniques attempt to recover terms via pattern formation.  ... 
doi:10.1007/978-3-319-10888-9_6 fatcat:wrtklcxrefdm3bc6pgy3n2gt7u

Automatic Texts Summarization: Current State of the Art

Nabil ALAMI, Mohammed MEKNASSI, Noureddine RAIS
2015 Journal of Asian Scientific Research  
This study is one of very few studies which have investigated on automatic text summarization field.  ...  In this paper we expose a literature review of recent techniques and works on automatic text summarization field research, and then we focus our discussion on some works concerning automatic text summarization  ...  In the same context, [11] proposed a method based on graphs algorithm for automatic texts summarization. This method consists in building a graph from the text.  ... 
doi:10.18488/journal.2/2015.5.1/2.1.1.15 fatcat:kjq3xaofczchvdgajfcmff6q7u

Review on automatic text summarization

Abirami Rajasekaran, Dr R. Varalakshmi
2018 International Journal of Engineering & Technology  
Past few years have witnessed a rapid growth in the research of summarizing the text automatically using different approaches.  ...  This paper provides an in-depth review of the vari-ous approaches, techniques, methods involved in Automatic Text Summarization.  ...  Automatic Text Summarization approaches involves redundancy elimination, significant sentence identification, coherent summary generation and evaluate the automatically generated summaries using evaluation  ... 
doi:10.14419/ijet.v7i2.33.14210 fatcat:z7lffdxnwnejlgcytgs24va4mq

Towards Technology Structure Mining from Scientific Literature [chapter]

Behrang QasemiZadeh
2010 Lecture Notes in Computer Science  
We propose a linguistic based approach for identification of Technology Interdependence through extraction of technology concepts and relations between them.  ...  In addition, we introduce Technology Structure Graph for the task formalization.  ...  of a unification based pattern matching over the syntactic annotations of the text (5) finally Post-processor provides a suitable representation of the extracted information e.g. a visualization for the  ... 
doi:10.1007/978-3-642-17749-1_21 fatcat:nemnez2fnfarxc3kxdvg3zqyma

A Survey of Text Summarization Techniques for Indian Regional Languages

Sheetal Shimpikar, Sharvari Govilkar
2017 International Journal of Computer Applications  
Summarization is a cluster based extractive summarization method. This method aims at generating summary of high relevance, to the given query or document topic. Passage  ...  Text summarization is commonly used to handle summaries of email threads, action items from a meeting and simplifying text by compressing sentences used to manage knowledge and also to help Internet search  ...  Barzilay and Mckeown used Tree based techniques for text representation on dependency based representation: DSYNT tree.  ... 
doi:10.5120/ijca2017914083 fatcat:tb6i77ktwffmjc2fa6ctrn3ewe

A pragmatic information extraction strategy for gathering data on genetic interactions

D Proux, F Rechenmann, L Julliard
2000 Proceedings. International Conference on Intelligent Systems for Molecular Biology  
We are using a combination of existing linguistic and knowledge processing tools to automatically extract information about gene interactions in the literature.  ...  We present in this paper a pragmatic strategy to perform information extraction from biologic texts.  ...  We also want to thanks Claude Roux from XRCE (Xerox Research Centre Europe) for its help on the conceptual graph aspects of the problem.  ... 
pmid:10977089 fatcat:rybqtgbqqjc6jb7l6n25gu4com

A new approach for extracting the conceptual schema of texts based on the linguistic Thematic Progression theory [article]

Elena del Olmo Suárez, Ana María Fernández-Pampillón Cesteros
2020 arXiv   pre-print
The underlying conceptual schema is the core component for the generation of summaries that are genuinely consistent with the semantics of the text.  ...  The purpose of this article is to present a new approach for the discovery and labelling of the implicit conceptual schema of texts through the application of the Thematic Progression theory.  ...  (Erkan et al. 2004 , Giannakopoulos et al. 2008 ), based on the representation of the linguistic elements in texts judged to be relevant as nodes connected by arcs, (iv), discourse-based approaches  ... 
arXiv:2010.07440v1 fatcat:j7efcvwamfgzrcj5cchagj3l5e
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