scholarly journals Textual Entailment for Arabic Language based on Lexical and Semantic Matching

2016 ◽  
Vol 12 (1) ◽  
pp. 67-74 ◽  
Author(s):  
Mariam Khader ◽  
◽  
Arafat Awajan ◽  
Akram Alkouz
Keyword(s):  
Arabic Language ◽  
Semantic Matching ◽  
Textual Entailment

Towards maximal unification of semantically diverse ontologies for controversial domains

2014 ◽  
Vol 66 (5) ◽  
pp. 494-518 ◽  
Author(s):  
Maayan Zhitomirsky-Geffet ◽  
Judit Bar-Ilan
Keyword(s):  
Web Applications ◽  
Future Research ◽  
Semantic Matching ◽  
New Paradigm ◽  
Specific Domain ◽  
New Approach ◽  
Content Type ◽  
Textual Entailment ◽  
Semantically Heterogeneous ◽  
Research Challenge

Purpose – Ontologies are prone to wide semantic variability due to subjective points of view of their composers. The purpose of this paper is to propose a new approach for maximal unification of diverse ontologies for controversial domains by their relations. Design/methodology/approach – Effective matching or unification of multiple ontologies for a specific domain is crucial for the success of many semantic web applications, such as semantic information retrieval and organization, document tagging, summarization and search. To this end, numerous automatic and semi-automatic techniques were proposed in the past decade that attempt to identify similar entities, mostly classes, in diverse ontologies for similar domains. Apparently, matching individual entities cannot result in full integration of ontologies’ semantics without matching their inter-relations with all other-related classes (and instances). However, semantic matching of ontological relations still constitutes a major research challenge. Therefore, in this paper the authors propose a new paradigm for assessment of maximal possible matching and unification of ontological relations. To this end, several unification rules for ontological relations were devised based on ontological reference rules, and lexical and textual entailment. These rules were semi-automatically implemented to extend a given ontology with semantically matching relations from another ontology for a similar domain. Then, the ontologies were unified through these similar pairs of relations. The authors observe that these rules can be also facilitated to reveal the contradictory relations in different ontologies. Findings – To assess the feasibility of the approach two experiments were conducted with different sets of multiple personal ontologies on controversial domains constructed by trained subjects. The results for about 50 distinct ontology pairs demonstrate a good potential of the methodology for increasing inter-ontology agreement. Furthermore, the authors show that the presented methodology can lead to a complete unification of multiple semantically heterogeneous ontologies. Research limitations/implications – This is a conceptual study that presents a new approach for semantic unification of ontologies by a devised set of rules along with the initial experimental evidence of its feasibility and effectiveness. However, this methodology has to be fully automatically implemented and tested on a larger dataset in future research. Practical implications – This result has implication for semantic search, since a richer ontology, comprised of multiple aspects and viewpoints of the domain of knowledge, enhances discoverability and improves search results. Originality/value – To the best of the knowledge, this is the first study to examine and assess the maximal level of semantic relation-based ontology unification.

scholarly journals Textual entailment through extended lexical overlap and lexico-semantic matching

2007 ◽  
Author(s):  
Rod Adams ◽  
Gabriel Nicolae ◽  
Cristina Nicolae ◽  
Sanda Harabagiu
Keyword(s):  
Semantic Matching ◽  
Textual Entailment

scholarly journals DEEP LEARNING FOR SEMANTIC MATCHING: A SURVEY

2021 ◽  
Vol 37 (4) ◽  
pp. 365-402
Author(s):  
Han Li ◽  
Yash Govind ◽  
Sidharth Mudgal ◽  
Theodoros Rekatsinas ◽  
AnHai Doan
Keyword(s):  
Deep Learning ◽  
Semantic Web ◽  
Question Answering ◽  
Ontology Matching ◽  
Coreference Resolution ◽  
Semantic Matching ◽  
Entity Linking ◽  
Matching Problem ◽  
Semantic Relationships ◽  
Textual Entailment

Semantic matching finds certain types of semantic relationships among schema/data constructs. Examples include entity matching, entity linking, coreference resolution, schema/ontology matching, semantic text similarity, textual entailment, question answering, tagging, etc. Semantic matching has received much attention in the database, AI, KDD, Web, and Semantic Web communities. Recently, many works have also applied deep learning (DL) to semantic matching. In this paper we survey this fast growing topic. We define the semantic matching problem, categorize its variations into a taxonomy, and describe important applications. We describe DL solutions for important variations of semantic matching. Finally, we discuss future R\&D directions.

Narrative Language Markers of Arabic Language Development and Impairment

2020 ◽  
Vol 63 (10) ◽  
pp. 3472-3487
Author(s):  
Natalia V. Rakhlin ◽  
Nan Li ◽  
Abdullah Aljughaiman ◽  
Elena L. Grigorenko
Keyword(s):  
Language Development ◽  
Standardized Test ◽  
Language Disorder ◽  
Arabic Language ◽  
Developmental Language Disorder ◽  
Standardized Measures ◽  
Verb Agreement ◽  
Language Groups ◽  
Specificity And Sensitivity ◽  
Omission Errors

Purpose We examined indices of narrative microstructure as metrics of language development and impairment in Arabic-speaking children. We examined their age sensitivity, correlations with standardized measures, and ability to differentiate children with average language and language impairment. Method We collected story narratives from 177 children (54.2% boys) between 3.08 and 10.92 years old ( M = 6.25, SD = 1.67) divided into six age bands. Each child also received standardized measures of spoken language (Receptive and Expressive Vocabulary, Sentence Imitation, and Pseudoword Repetition). Several narrative indices of microstructure were examined in each age band. Children were divided into (suspected) developmental language disorder and typical language groups using the standardized test scores and compared on the narrative indicators. Sensitivity and specificity of the narrative indicators that showed group differences were calculated. Results The measures that showed age sensitivity included subject omission error rate, number of object clitics, correct use of subject–verb agreement, and mean length of utterance in words. The developmental language disorder group scored higher on subject omission errors (Cohen's d = 0.55) and lower on correct use of subject–verb agreement (Cohen's d = 0.48) than the typical language group. The threshold for impaired performance with the highest combination of specificity and sensitivity was 35th percentile. Conclusions Several indices of narrative microstructure appear to be valid metrics for documenting language development in children acquiring Gulf Arabic. Subject omission errors and correct use of subject–verb agreement differentiate children with typical and atypical levels of language development.

Reduced semantic priming from prime repetition: Expectancy or semantic matching?

2001 ◽  
Author(s):  
James H. Neely ◽  
Keith A. Hutchison ◽  
Jeffrey D. Johnson
Keyword(s):  
Semantic Priming ◽  
Semantic Matching

Efektifitas Pembelajaran Bahasa Arab 0 (nol) sks dalam membentuk Bi’ah al-‘Arabiyah pada Prodi PAI STIT Raden Wijaya

2018 ◽  
Vol 1 (2) ◽  
pp. 51
Author(s):  
Mustain Mustain
Keyword(s):  
Religious Education ◽  
Arabic Language ◽  
Islamic Education ◽  
Foreign Languages ◽  
Primary Data ◽  
Study Program ◽  
Effective Learning ◽  
Education Study ◽  
Arabic And English ◽  
Oriented Approach

Arabic subjects are very important to develop the ability to communicate. By learning Arabic, students can understand the conversation and reading in Arabic well. Formal Arabic Studies in Madrasahs are the main means for students to master Arabic. This study aims to: 1) Know the efforts of STI Pati Raden Wijaya Prodi in shaping Arabic environment on Prodi PIT STIT Raden Wijaya. 2) Knowing the supporting factors in shaping Arabic environment on PAI STIT Raden Wijaya Prodi. 3) Knowing the obstacles faced by Prodi PIT STIT Raden Wijaya in shaping Arabic environment at Prodi PIT STIT Raden Wijaya. This study uses oriented approach (paradigm) Descriptive-Qualitative, While the type of research is using case studies (Santoso, 2005). In this study the researchers themselves or with the help of others are the main data collectors. This research was conducted at Tarbiyah High School of Raden Wijaya Kota Mojokerto, on Islamic Religious Education Study Program. In this study, the primary data obtained by researchers is: the results of interviews with the Chairman of the Study Program of Islamic Education and Students Semester I (One). In this study used in analyzing data that has been obtained is by descriptive (non statistical) descriptive that is explorative. The conclusions of this research are: 1) Effort-uaha done Prodi in making effective learning arab language in Prodi PIT STIT Raden Wijaya are: a. He held yaum al-'araby twice a week on Friday. b. It was called shabah al-lughah a week twice before ta'lim afkar al-islamy began. c. The existence of study club on each mabna. 2) Factors that become supporters in forming bi'ah al-'arabiyah are: a. Attachment of mufradat in strategic places. b. Make plaques that are written / spoken in Arabic to make it easier to remember. c. Songs in foreign languages ​​(Arabic and English) to increase students' insight in developing the language. 3) The constraints faced in creating bi'ah al-'arabiyah namely: a. Ability and basic students are different. b. There is no class classification that suits the ability of each student. c. Lack of facilities / facilities and infrastructure. d. Competence musyrif / ah who are not all able to speak. e. The curriculum and materials that are presented have not been neatly arranged. f. The absence of a strict iqob for students who do not communicate arabic language everyday.

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