Subscribe to the gold package and get unlimited access to Shamra Academy
Register a new userTowards a Linking between WordNet and Wikidata
نحو ربط بين WordNet و Wikidata
347
0 0
0.0
(
0
)
Created by
Shamra Editor
Ask ChatGPT about the research
WordNet هو الموارد المعجمية الأكثر استخداما على نطاق واسع للغة الإنجليزية، في حين أن ويكيداتا هي واحدة من أكبر الرسوم البيانية للمعرفة للمفاهيم والمفاهيم المتاحة.في حين أن هناك اختلاف واضح في تركيز هذين الموارد، فهناك أيضا تداخل كبير وعلى هذا النحو الارتباط الكامل لهذه الموارد سيكون له العديد من الاستخدامات.نقترح تطوير مثل هذا الارتباط، أولا عن طريق روابط Legomenon Hapax وثانيا عن طريق استخدام تقنيات معالجة اللغة الطبيعية.نظهر أن هذه يمكن القيام به بدقة عالية ولكن هذا التحقق من الصحة لا يزال ضروريا.وقد أدى ذلك إلى إضافة أكثر من 9000 روابط بين هذين الموارد.
WordNet is the most widely used lexical resource for English, while Wikidata is one of the largest knowledge graphs of entity and concepts available. While, there is a clear difference in the focus of these two resources, there is also a significant overlap and as such a complete linking of these resources would have many uses. We propose the development of such a linking, first by means of the hapax legomenon links and secondly by the use of natural language processing techniques. We show that these can be done with high accuracy but that human validation is still necessary. This has resulted in over 9,000 links being added between these two resources.
References used
https://aclanthology.org/
rate research
Read More
The paper presents the project Semantic Network with a Wide Range of Semantic Relations and its main achievements. The ultimate objective of the project is to expand Princeton WordNet with conceptual frames that define the syntagmatic relations of ve
rb synsets and the semantic classes of nouns felicitous to combine with particular verbs. At this stage of the work: a) over 5,000 WordNet verb synsets have been supplied with manually evaluated FrameNet semantic frames, b) 253 semantic types have been manually mapped to the appropriate WordNet concepts providing detailed ontological representation of the semantic classes of nouns.
There were many legal frameworks and engineering conditions of the construction systems
in Arab countries. They were developed depending on the importance of the urban boom,
taking into account the priorities of the cities in their strategies, whic
h depend on the balance
between the characteristics and urban development in the world.
The research compares between the data of Dubai city, which became a state that grows in
the Arab Gulf as a real estate investment and attraction for capital, the city of Damascus,
which is looking for a role through this context, and the development possibility of its building
system in accordance with its dreams in order to be in balance with its background heritage.
This paper describes the development of an online lexical resource to help detection systems regulate and curb the use of offensive words online. With the growing prevalence of social media platforms, many conversations are now conducted on- line. Th
e increase of online conversations for leisure, work and socializing has led to an increase in harassment. In particular, we create a specialized sense-based vocabulary of Japanese offensive words for the Open Multilingual Wordnet. This vocabulary expands on an existing list of Japanese offen- sive words and provides categorization and proper linking to synsets within the multilingual wordnet. This paper then discusses the evaluation of the vocabulary as a resource for representing and classifying offensive words and as a possible resource for offensive word use detection in social media.
Currently, there are two available wordnets for Turkish: TR-wordnet of BalkaNet and KeNet. As the more comprehensive wordnet for Turkish, KeNet includes 76,757 synsets. KeNet has both intralingual semantic relations and is linked to PWN through inter
lingual relations. In this paper, we present the procedure adopted in creating KeNet, give details about our approach in annotating semantic relations such as hypernymy and discuss the language-specific problems encountered in these processes.
Syria raised through successive positions of linking the five seas: the Mediterranean,
Black and Caspian and the Arabian Gulf and the Red Sea project, politically, economically
and socially to unite its efforts and pursue their interests, and thus
face of the Zionist
project, which works to break up the region.
It is an ambitious project and successful by all standards where it's works to establish
a new history in the region, but suffered a setback in accordance with the current
international and regional data, and that what is happening for years in our region in
general and in Syria as especially being in the heart of the project is the result of a conflict
of wills between the hegemony projects and control on the one hand and Syria approach
based on accurate and objective reading of the entire international changes and Regional
the other hand, and that there is a possibility of renewed project in accordance with the
new mechanisms in the future based on the Iraqi-Syrian-Iranian relations.
suggested questions
Log in to be able to interact and post comments
comments
Fetching comments
Sign in to be able to follow your search criteria
