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Wikipedia-based Semantic Interpretation for Natural Language Processing

E. Gabrilovich, S. Markovitch
2009 The Journal of Artificial Intelligence Research  
Here we propose a novel method, called Explicit Semantic Analysis (ESA), for fine-grained semantic interpretation of unrestricted natural language texts.  ...  Adequate representation of natural language semantics requires access to vast amounts of common sense and domain-specific world knowledge.  ...  We also thank Deepak Agarwal for advice on assessing statistical significance of results in computing semantic relatedness.  ... 
doi:10.1613/jair.2669 fatcat:mwcky2jqx5e6zimhzgsbh5rffa

Towards optimize-ESA for text semantic similarity: A case study of biomedical text

Khaoula Mrhar, Mounia Abik
2020 International Journal of Electrical and Computer Engineering (IJECE)  
ESA usage has received tremendous attention in the field of natural language processing NLP and information retrieval.  ...  Explicit Semantic Analysis (ESA) is an approach to measure the semantic relatedness between terms or documents based on similarities to documents of a references corpus usually Wikipedia.  ...  The first step of this approach is to construct the semantic interpreter that maps fragments of natural language text into a weighted sequence of Wikipedia concepts ordered by their relevance to the input  ... 
doi:10.11591/ijece.v10i3.pp2934-2943 fatcat:3wiiprpkhrh5zfzlvcejiymhzi

Engineering an Aligned Gold-Standard Corpus of Human to Machine Oriented Controlled Natural Language

Hazem Safwat, Brian Davis, Manel Zarrouk
2018 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)  
Controlled Natural Languages (CNLs) are subsets of natural language that are restricted grammatically in order to reduce or eliminate ambiguity for the purposes of machine processability, or unambiguous  ...  This linguistic resource is both human-readable and semantically machine interpretable and can benefit a variety of NLP and knowledge based applications.  ...  We have presented a linguistic resource that is both humanreadable and semantically machine interpretable.  ... 
doi:10.1109/wi.2018.00-58 dblp:conf/webi/Safwat0Z18 fatcat:gxqbifzdynav5m24iiw2bcscye

Querying Heterogeneous Datasets on the Linked Data Web: Challenges, Approaches, and Trends

Andre Freitas, Edward Curry, Joao Gabriel Oliveira, Sean O'Riain
2012 IEEE Internet Computing  
We thank the reviewers and editors for their careful and valuable feedback.  ...  WordNet- based semantic similarity Natural language search (Treo, 10 Treo T-Space) 11 High Natural language queries (no operators) Wikipedia- based, semantic relatedness, Wikipedia  ...  Work on QA approaches investigates the interpretation of users' information needs expressed as natural language queries, applying natural language processing (NLP) techniques to parse queries and match  ... 
doi:10.1109/mic.2011.141 fatcat:kovzfmfjvfhpdeavhxcb3pueba

Leveraging advances in natural language processing to better understand Tobler's first law of geography

Toby Jia-Jun Li, Shilad Sen, Brent Hecht
2014 Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems - SIGSPATIAL '14  
In this paper, we leverage recent advances in the natural language processing domain of semantic relatedness estimation to, for the first time, robustly evaluate the extent to which relatedness between  ...  Our work is enabled by recent advances in the natural language processing (NLP), particularly by the development of semantic relatedness (SR) algorithms that achieve near upper-bound performance against  ...  CONCLUSION In this paper, we leveraged recent advances in the domain of natural language processing to perform the first robust evaluation of Tobler's First Law using domain-neutral geographic entities  ... 
doi:10.1145/2666310.2666493 dblp:conf/gis/LiSH14 fatcat:2ijejufa4fctpj5acaath2hlfe

YAGO-QA: Answering Questions by Structured Knowledge Queries

Peter Adolphs, Martin Theobald, Ulrich Schafer, Hans Uszkoreit, Gerhard Weikum
2011 2011 IEEE Fifth International Conference on Semantic Computing  
Key to building such a system is to establish mappings from natural language expressions to semantic representations.  ...  We present a natural-language question-answering system that gives access to the accumulated knowledge of one of the largest community projects on the Web -Wikipedia -via an automatically acquired structured  ...  on the semantic representations rather than finding answers in natural-language texts.  ... 
doi:10.1109/icsc.2011.30 dblp:conf/semco/AdolphsTSUW11 fatcat:7co6mdtcnbhtrihmruwgqvbdji

Cross-Language Semantic Retrieval and Linking of E-Gov Services [chapter]

Fedelucio Narducci, Matteo Palmonari, Giovanni Semeraro
2013 Lecture Notes in Computer Science  
CroSeR supports different European languages and adopts a semantic representation of e-gov services based on Wikipedia.  ...  The web application presented in this paper is named CroSeR (Cross-language Service Retriever) and supports public bodies in the process of linking their own service catalogs to the lod cloud.  ...  The authors wish to thank Dr Claudio Baldassarre and Dr Marco Cremaschi for implementing the Web GUI of CroSeR.  ... 
doi:10.1007/978-3-642-41338-4_9 fatcat:s7arnkeoi5b4vgqy22k4swhtgu

An Artificial Intelligence Approach for Word Semantic Similarity Measure of Hindi Language

2021 KSII Transactions on Internet and Information Systems  
Semantic similarity is an important part of Natural Language Processing, which involves applications such as ontology learning and information extraction, for developing conversational agents.  ...  Most of the research is concentrated on English and other European languages. This paper presents a Corpus-based word semantic similarity measure for Hindi.  ...  The experimental-based tests show that Wikipedia-based semantic interpretation surpasses the ODP-based and is superior to it.  ... 
doi:10.3837/tiis.2021.06.006 fatcat:ddc6aetvqvfqtgikmm33xrd5hq


Anton Mykhailiuk, Vasyl Teslyuk
2014 Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska  
on Ukrainian Wikipedia segment are performed.  ...  This article presents software organization method for automated formation of the ontological knowledge base by converting structured encyclopaedic resource to the appropriate ontology objects.  ...  This knowledge base can be used as a semantic core for quasiharmonic search process.  ... 
doi:10.5604/20830157.1109379 fatcat:rsbwjaro3vf2pk4udotzro2i5e

Excavating the mother lode of human-generated text: A systematic review of research that uses the wikipedia corpus

Mohamad Mehdi, Chitu Okoli, Mostafa Mesgari, Finn Årup Nielsen, Arto Lanamäki
2017 Information Processing & Management  
Natural Language Processing The ambiguous nature of natural language raises the need for computational linguistic analysis for the processing of languages in a range of applications.  ...  (IR), natural language processing (NLP), and ontology building (OB).  ... 
doi:10.1016/j.ipm.2016.07.003 fatcat:qgjeatizfzbyjkbo4rsuxea76y

Natural language processing in the web era

Roberto Basili, Bernardo Magnini
2012 Intelligenza Artificiale  
No interpretation process over Web data is really possible without a more or less explicit reference to natural language(s), the primordial soup from which semantics emerges.  ...  Natural Language is still the main carrier for the definition, synthesis and exchange of knowledge in the real world, and this is entirely reflected by Web contents.  ...  Acknowledgments In the preparation of this special issue the authors are in debt with the support received for the organization of the AI*IA "Learning by Reading in the Real World" (LERREW) workshop, held  ... 
doi:10.3233/ia-130039 dblp:journals/ia/BasiliM12 fatcat:xnuc54onmvc2bfqi77x2hbf75q


J. Fan, K. Stewart
2015 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Included in this database are thousands of geotagged articles, including, for example, almost real-time updates on current and historic natural hazards.  ...  In this work, Wikipedia articles about wildfires are extracted from the Wikipedia database, forming a wildfire corpus and creating a basis for the topic vector analysis.  ...  Of course, the falsely identified hotspot also reveals a challenge associated with nature language processing-ambiguity.  ... 
doi:10.5194/isprsannals-ii-4-w2-87-2015 fatcat:rqim3dyw3jewdl73jirhmnai3u


Tuan Norhafizah Tuan Zakaria, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Selangor, Malaysia, Mohd Juzaiddin Ab Aziz, Mohd Rosmadi Mokhtar, Saadiyah Darus, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Selangor, Malaysia, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Selangor, Malaysia, Faculty of Social Sciences and Humanities, Universiti Kebangsaan Malaysia, 43600 Selangor,Malaysia
2020 International Journal of Software Engineering and Computer Systems  
Semantic similarity between words is a very important task and widely practiced in the field of natural language processing.  ...  Knowledge-based lexical resources like WordNet and Wikipedia are useful for this task.  ...  This method uses machine learning and natural language processing to understand and categorize unstructured textual data.  ... 
doi:10.15282/ijsecs.6.1.2020.4.0067 fatcat:74rnf2kvonce5onhwseqnuhhm4

A Novel Approach for Computing Semantic Relatedness of Geographic Terms

Mozhdeh Nazari Soleimandarabi, Seyed Abolghasem Mirroshandel
2015 Indian Journal of Science and Technology  
Computing semantic relatedness measures are extensively employed in the field of Natural Language Processing (NLP) and play pivotal role in Geographic Information Science (GIS).  ...  Furthermore, this approach exploits Wikipedia as semantic resource that has considerable performance in application of semantic relatedness.  ...  Introduction Computing semantic relatedness is expressed as a fundamental task in natural language processing and its goal is to identify a measure that can express the strength of semantic association  ... 
doi:10.17485/ijst/2015/v8i27/60811 fatcat:xoydodhrwnfrbjphxmwzqlftz4

Exploring Knowledge Graphs in an Interpretable Composite Approach for Text Entailment

Vivian S. Silva, André Freitas, Siegfried Handschuh
We also make the answer interpretable: whenever an entailment is solved semantically, we explore a knowledge base composed of structured lexical definitions to generate natural language humanlike justifications  ...  Recognizing textual entailment is a key task for many semantic applications, such as Question Answering, Text Summarization, and Information Extraction, among others.  ...  Acknowledgments This work was supported in part by a grant from the European Union Horizons 2020 -the Framework Programme for Research and Innovation (2014) (2015)(2016)(2017)(2018)(2019)(2020) under  ... 
doi:10.1609/aaai.v33i01.33017023 fatcat:j5gfq4oydzal3fsqpfn4y5dz5y
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