Enriching Wordnets with New Relations and with Event and Argument Structures

Amaro, Raquel; Chaves, Rui P.; Marrafa, Palmira; Mendes, Sara

doi:10.1007/11671299_3

Cited by 12 publications

(10 citation statements)

References 4 publications

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“…We hope this inadequacy will not introduce ambiguities, since in most cases the types of relations are discussed. 3 On the other hand, most of the WordNets is created in accordance with the original Princeton WordNet idea refraining from using cross-part-of-speech relations. What is more, the set of relations was primarily limited to these, which were well accepted by the linguistic researchers community.…”

Section: Motivationmentioning

confidence: 99%

The Polish Cyc lexicon as a bridge between Polish language and the Semantic Web

Pohl

2010

Proceedings of the International Multiconference on Computer Science and Information Technology

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In this paper we discuss the problem of building the Polish lexicon for the Cyc ontology. As the ontology is very large and complex we describe semi-automatic translation of part of it, which might be useful for tasks lying on the border between the fields of Semantic Web and Natural Language Processing.We concentrate on precise identification of lexemes, which is crucial for tasks such as natural language generation in massively inflected languages like Polish, and we also concentrate on multiword entries, since in Cyc for every 10 concepts, 9 of them is mapped to expressions containing more than one word.

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Section: Motivationmentioning

confidence: 99%

The Polish Cyc lexicon as a bridge between Polish language and the Semantic Web

Pohl

2010

Proceedings of the International Multiconference on Computer Science and Information Technology

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“…The lexical Ontology that will be used in the work is WordNet [3] as this database qualifies as an upper Ontology, containing the most wide-ranging of concepts in addition to more specific concepts which are related to each other.…”

Section: Figure 4 a Simplified Model Of Basic Ontology Elementsmentioning

confidence: 99%

“…WordNet (WN) is a large public electronic dictionary, thesaurus and electronic lexical database [3], that has the potential of serving Natural Language Processing systems effectively due to its size and sophistication. The compilers' original idea was to "identify the most important lexical nodes by character strings and to explore the patterns of semantic relations among them".…”

Section: Wordnetmentioning

confidence: 99%

Towards From Manual to Automatic Semantic Annotation: Based on Ontology Elements and Relationships

Qasim¹,

Salih²

2013

IJWesT

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Automatic annotation is offering a standards base for retrieving information from web services. It has been observed that many existing protocol e.g. Annotea did not support the fully automatic annotation directly or the process to be carried out needs professional developers (i.e. non-trivial protocol) such as KIM.In this paper a description of the architecture of the proposed system is given and a figurative structure is supplied. The diagrams that represent the structure will be described along with the main resources usage.

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“…Besides, ontologies play a major role in support information search and retrieval processes for the Arabic language [4]. The Arabic WordNet (AWN) is a semantic resource and a free lexical for the Arabic ontologies [5]. But constructing AWN presents a challenges that are include the scripts and the morphological properties of Semitic languages, which centered on roots [6].…”

Section: Introduction Imentioning

confidence: 99%

Ontology-based Query Expansion for Arabic Text Retrieval

Alromima¹,

Moawad²,

Elgohary³

et al. 2016

ijacsa

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Abstract-The semantic resources are important parts in the Information Retrieval (IR) such as search engines, Question Answering (QA), etc., these resources should be available, readable and understandable. In semantic web, the ontology plays a central role for the information retrieval, which use to retrieves more relevant information from unstructured information. This paper presents a semantic-based retrieval system for the Arabic text, which expands the input query semantically using Arabic domain ontology. In the proposed approach, the search engine index is represented using Vector Space Model (VSM), and the Arabic's place nouns domain ontology has been used which constructed and implemented using Web Ontology Language (OWL) from Arabic corpus. The proposed approach has been experimented on the Arabic Quran corpus, and the experiments show that the approach outperforms in terms of both precision and recall the traditional keywordbased methods.

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Enriching Wordnets with New Relations and with Event and Argument Structures

Cited by 12 publications

References 4 publications

The Polish Cyc lexicon as a bridge between Polish language and the Semantic Web

The Polish Cyc lexicon as a bridge between Polish language and the Semantic Web

Towards From Manual to Automatic Semantic Annotation: Based on Ontology Elements and Relationships

Ontology-based Query Expansion for Arabic Text Retrieval

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