12/17/2022 0 Comments Who uses babelnet![]() ![]() Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics. UBY - A Large-Scale Unified Lexical-Semantic Resource Based on LMF. ^ Iryna Gurevych Judith Eckle-Kohler Silvana Hartmann Michael Matuschek Christian M.Furthermore, lemonUby was used to improve machine translation results, especially, finding translations for unknown words. UBY also inspired other projects on automatic construction of lexical semantic resources. ![]() UBY has been successfully used in different NLP tasks such as Word Sense Disambiguation, Word Sense Clustering, Verb Sense Labeling and Text Classification. The open and well-documented structure of the two resource provide a crucial milestone to achieve this goal. In fact, the two resources can be used to provide extensive lexicographic knowledge, especially, if they are linked together. In summary, due to the listed differences between the two resources, the usage of one or the other might be preferred depending on the particular application scenario. Although this provides a great boost of coverage for multilingual applications, the automatic inference of information is always prone to a certain degree of error. Additionally, BabelNet enriches the original resources, e.g., by providing automatically created translations for concepts which are not lexicalized in a particular language. This makes access and processing of the knowledge more convenient, however, it blurs the lines between the linked knowledge bases. Meanwhile, BabelNet follow an approach similar to WordNet and bakes selected information types into so called Babel Synsets. Moreover, the LMF model in UBY allows unified way of access for all as well as individual resources. A collective access to multiple resources is provided through the available resource alignments. UBY, however, was focused from the very beginning on verb information, especially, syntactic information, which is contained in resources, such as VerbNet or FrameNet.Īnother main difference is that UBY models other resources completely and independently from each other, so that UBY can be used as wholesale replacement of each of the contained resources. Later on, the focus of BabelNet was shifted more towards other parts of speech. ![]() In its early stage, BabelNet was primarily based on the alignment of WordNet and Wikipedia, which by the very nature of Wikipedia implied a strong focus on nouns, and especially named entities. ![]() At first glance, UBY and BabelNet seem to be identical and competitive projects however, the two resources follow different philosophies. lemon is a model for modeling lexicon and machine-readable dictionaries and linked to the Semantic Web and the Linked Data cloud.īabelNet is an automatically lexical semantic resource that links Wikipedia to the most popular computational lexicons such as WordNet. lemonUby is based on the lemon model as proposed in the Monnet project. There is also a Semantic Web version of UBY called lemonUby. #Who uses babelnet codeWhile the code of UBY is licensed under a mix of free licenses such as GPL and CC by SA, some of the included resources are under different licenses such as academic use only. DKPro UBY is a Java framework for creating and accessing sense-linked lexical resources in accordance with the UBY-LMF lexicon model. UBY is available as part of the open resource repository DKPro. In accordance with the LMF, all attributes and other linguistic terms introduced in UBY-LMF refer to standardized descriptions of their meaning in ISOCat. #Who uses babelnet isoUBY-LMFĬonforms to the ISO standard for lexicons: LMF, designed within the ISO-TC37, and constitutes a so-called serialization of this abstract standard. UBY-LMF is a format for standardizing lexical resources for Natural Language Processing (NLP). ![]()
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