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Towards relation extraction from Arabic text: a review

Abeer AlArfaj
2019 International Robotics & Automation Journal  
We also give special attention to the state of the work on relation extraction from Arabic texts, which need further progress.  ...  However, extracting semantic relations between concepts is not trivial and one of the main challenges in Natural Language Processing (NLP) Field.  ...  Lahbib et al 26 proposed a distributional approach for calculating similarities, which is based on syntactic dependencies to extract semantic relations.  ... 
doi:10.15406/iratj.2019.05.00195 fatcat:2pep6mt7hbgxzmm55wcvxb5zre

An Overview of Event Extraction from Text

Frederik Hogenboom, Flavius Frasincar, Uzay Kaymak, Franciska de Jong
2011 International Semantic Web Conference  
One common application of text mining is event extraction, which encompasses deducing specific knowledge concerning incidents referred to in texts.  ...  It provides general guidelines on how to choose a particular event extraction technique depending on the user, the available content, and the scenario of use.  ...  Web queries are formulated based on a set of lexico-syntactic patterns.  ... 
dblp:conf/semweb/HogenboomFKJ11 fatcat:rd4zlaeiorhy3emm3krdg5qrca

Semantic Analysis using Dependency-based Grammars and Upper-Level Ontologies

Amal Zouaq, Michel Gagnon, Benoît Ozell
2010 International Journal of Computational Linguistics and Applications  
However, this analysis is generally based on a deeply-intertwined syntactic and semantic process, which makes it not easily adaptable and reusable from a practical point of view.  ...  This paper presents a modular semantic analysis pipeline that aims at extracting logical representations from free text based on dependency grammars and assigning semantic roles to the logical representation  ...  Based on these issues, we believe that there is a need of a looser coupling between the syntactic and semantic information.  ... 
dblp:journals/ijcla/ZouaqGO10 fatcat:yw6mv5jkabazzlxcq23i34wreq

Extracting Phrases in Vietnamese Document for Summary Generation

Huong Thanh Le, Rathany Chan Sam, Phuc Trong Nguyen
2010 2010 International Conference on Asian Language Processing  
This paper describes an approach to Vietnamese text summarization, concentrated on the discourse structure of the text.  ...  Based on characteristics of Vietnamese, we propose rules for segmenting text into elementary discourse units (edus) and for recognizing discourse relations between textual spans.  ...  Basing on these scores, the phrases with highest scores are chosen as the summary. Most works on Vietnamese text summarization (e.g., [1, 10] ) are based on statistics.  ... 
doi:10.1109/ialp.2010.8 dblp:conf/ialp/LeSN10 fatcat:rzb5cxgolza3lisj6wfeouanya

A Combined Extractive with Abstractive Model for Summarization

Wenfeng Liu, Yaling Gao, Jinming Li, Yuzhen Yang
2021 IEEE Access  
In addition, Beam Search based on syntactic structure has ensured language fluency, semantic consistency, and readability of summarization. VOLUME XX, 2017 F.  ...  This task is further referred as the text summarization or text semantic extraction and generation [1] , [2] .  ... 
doi:10.1109/access.2021.3066484 fatcat:b6frls6425f53njifqt7z5atlu

ZSWSL Text Entailment Recognizing System at NTCIR-9 RITE Task

Ranxu Su, Sheng Shang, Pan Wang, Haixu Liu, Yan Zheng
2011 NTCIR Conference on Evaluation of Information Access Technologies  
Three classification models are used and compared for the classification task, Rule-based algorithms, SVM and C4.5. C4.5 gives the best result on testing data set.  ...  This paper describes our system on simplified Chinese textual entailment recognizing RITE task at NTCIR-9. Both lexical and semantic features are extracted using NLP methods.  ...  Textual entailment captures a broad range of semantic oriented inferences needed for many Natural Language Processing (NLP) applications, like Information Retrieval, Text Summarization, Information Extraction  ... 
dblp:conf/ntcir/SuSWLZ11 fatcat:xawf3yf7q5dsjaksi45uphalqa

Information extraction from Korean radiology reports mingled two language

Miyoung Kwak, Seungbin Han, Jinwook Choi
2005 AMIA Annual Symposium Proceedings  
The following steps are performed: design conceptual model by terminology exploration based on lexical analysis, create a CN definition based on syntactic relationship pattern and implement automatic IE  ...  Main purposes is to investigate whether syntactic and semantic analysis technique using extraction rule (CN) is effective for typical Korean medical text in mixed two different languages.  ...  Results We tested 10 partitions consisting of 100 texts each. We calculated precision, recall. Average precision is 85.18 and average recall is 93.71.  ... 
pmid:16779301 pmcid:PMC1560805 fatcat:icpxa3hodvgmhpcqc6w7etkndi

Finding Answers to Definition Questions Using Web Knowledge Bases

Han Ren, Dong-Hong Ji, Jing Wan, Chong Teng
2009 Pacific Asia Conference on Language, Information and Computation  
After summarizing definitions from web knowledge bases and merge them to a definition set, a two-stage retrieval model based on Probabilistic Latent Semantic Analysis is produced to seek documents and  ...  Experiments indicate following conclusions: 1) specific summarization technologies improves definition QA systems to a better performance; 2) topic based models can be more helpful than centroid-based  ...  the syntactic or actual semantic similarity.  ... 
dblp:conf/paclic/RenJWT09 fatcat:sdsxrp4hbvadnghn7iy3urmwhq

An Improved Semantic Role Labeling for Myanmar Text

Zin Mar Kyu, Naw Lay Wah
2019 International Journal of Networked and Distributed Computing (IJNDC)  
In a study, Pham et al. developed a semantic role labeling system based on candidate syntactic constituent extraction for Vietnamese text.  ...  It then finds syntactic realization structures from Table 2 so that certain syntactic patterns are explored which are believed (based on some prior knowledge obtained from trained domain corpus) to be  ... 
doi:10.2991/ijndc.k.190326.001 fatcat:v3jkgalbafc3lg3g77v3gsb54u

Multilingual Natural Language Generation within Abstractive Summarization

Simon Mille, Miguel Ballesteros, Alicia Burga, Gerard Casamayor, Leo Wanner
2016 European Conference on Artificial Intelligence  
Our system is based on abstract linguistic structures obtained from an analysis pipeline of disambiguation, syntactic and semantic parsing tools.  ...  In this paper, we present work in progress that tackles the problem of multilingual text summarization using semantic representations.  ...  One is based on a statistical model and the other is rule-based.  ... 
dblp:conf/ecai/MilleBBCW16 fatcat:eo4jncpafjdarekrs4gip73xpa

Developing a new approach to summarize Arabic text automatically using syntactic and semantic analysis

Amal Alkhudari
2020 International Journal of Engineering & Technology  
In this paper we use syntactic and semantic analysis to propose an automatic system of Arabic texts summarization.  ...  The goal of automatic text summarization is to create summaries that are similar to human-created ones.  ...  The abstractive summarization methods under semantic based approach rely on semantic representation of the original document text.  ... 
doi:10.14419/ijet.v9i2.30324 fatcat:5tseqjidrfg73injx5f63mbnkm

Classification of Natural Language Processing Techniques for Requirements Engineering [article]

Liping Zhao, Waad Alhoshan, Alessio Ferrari, Keletso J. Letsholo
2022 arXiv   pre-print
We believe one hurdle facing the industry is lack of shared knowledge of NLP techniques and their usage in RE tasks.  ...  Related Term: Latent Semantic Analysis (LSA) Semantic Patterns Semantic patterns are generated based on common matching concepts. The top matching concepts of each word are considered.  ...  Rule-Based Analysis Use rules or patterns to analyse the syntax or Regular Expression, Lexical Patterns, Generation Rules semantics of a text or transform the text.  ... 
arXiv:2204.04282v1 fatcat:i2xxczzl7veuxohe25x3anujha

Identifying Semantic Relations in Text for Information Retrieval and Information Extraction [chapter]

Christopher Khoo, Sung Hyon Myaeng
2002 The Semantics of Relationships  
Automatic identification of semantic relations in text is a difficult problem, but is important for many applications.  ...  Other potential applications are in the construction of relational thesauri (semantic networks of related concepts) and other kinds of knowledge bases, and in natural language processing applications such  ...  Based on one or more similar text segments and the associated answer keys, one or more patterns are constructed that represent an estimate of the optimal level of generality and specificity.  ... 
doi:10.1007/978-94-017-0073-3_10 fatcat:hvmiowqglnbxlpvfj3tbgjyljm

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.  ...  Traditionally, abstractive summarization techniques have been classified into structure-based, intended to populate predefined information structures out of the relevant sentences of the texts, and semantic-based  ... 
arXiv:2010.07440v1 fatcat:j7efcvwamfgzrcj5cchagj3l5e

Semantic relations in information science

Christopher S. G. Khoo, Jin-Cheon Na
2007 Annual Review of Information Science and Technology  
We shall examine the nature of semantic relations from a linguistic and psychological perspective, with an emphasis on relations expressed in text.  ...  The chapter then reviews the use of semantic relations in information extraction, information retrieval, question-answering and automatic text summarization applications. we might initially regard as basic  ...  Lehnert (1999) proposed an inference-based technique for summarizing narratives based on structural relations around plot units.  ... 
doi:10.1002/aris.1440400112 fatcat:76uenbhkd5halopbxy2gt47dja
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