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Word Sense Induction with Attentive Context Clustering [PDF]
Journal of Data Mining and Digital Humanities, 2022 This paper presents ACCWSI (Attentive Context Clustering WSI), a method for Word Sense Induction, suitable for languages with limited resources. Pretrained on a small corpus and given an ambiguous word (a query word) and a set of excerpts that contain it,
Moshe Stekel, Amos Azaria, Shai Gordin
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SpeakQL Natural Language to SQL [PDF]
ITM Web of Conferences, 2021 Incorporating SQL questions from normal language is a long-standing open issue and has been drawing in extensive intrigue as of late. Natural Language Interface (NLI) is the confluence of Natural Language Processing (NLP) and Human-Computer Interaction ...
Shah Dhairya +4 more
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Resource Description Framework Query Languages : Comparative Study
Tikrit Journal of Pure Science, 2023 Over the period of time, the data on the web grows by leaps and bounds that becomes unmanageable to store and retrieve. As a result, the concept of semantic web comes into existence.
Ali Mustafa Ali Alshaykha +2 more
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Proceedings of the 1st International Workshop on Emerging Trends in Software Engineering for Blockchain, 2018 Blockchains store a massive amount of heterogeneous data which will only grow in time. When searching for data on the Ethereum platform, one is required to either access the records (blocks) directly by using a unique identifier, or sequentially search several records to find the desired information.
Bragagnolo, Santiago +3 more
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IEEE Access, 2021 English is an international language used for communication worldwide but still many cannot read, write, understand, or communicate in English. On the other hand, the World Wide Web has unlimited resources of information in different languages which ...
Ayman A. Taan +4 more
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Effective Approaches to Neural Query Language Identification
Computational Linguistics, 2022 Query language identification (Q-LID) plays a crucial role in a cross-lingual search engine. There exist two main challenges in Q-LID: (1) insufficient contextual information in queries for disambiguation; and (2) the lack of query-style training ...
Xingzhang Ren +6 more
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Survey on Visualization Query Technology of Knowledge Graph [PDF]
Jisuanji gongcheng, 2020 Knowledge graph,as the development product of symbolism,is considered to be an important part of artificial intelligence technologies and systems,and widely used in encyclopedia knowledge,biological information,social network,network security and so on ...
WANG Xin, FU Qiang, WANG Lin, XU Dawei, WANG Haofen
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A Flexible IoT Stream Processing Architecture Based on Microservices
Information, 2020 The Internet of Things (IoT) has created new and challenging opportunities for data analytics. The IoT represents an infinitive source of massive and heterogeneous data, whose real-time processing is an increasingly important issue.
Luca Bixio +3 more
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An Approach of Automatic SPARQL Generation for BIM Data Extraction
Applied Sciences, 2020 Generally, building information modelling (BIM) models contain multiple dimensions of building information, including building design data, construction information, and maintenance-related contents, which are related with different engineering ...
Dongming Guo +2 more
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Evaluation of high-level query languages based on MapReduce in Big Data
Journal of Big Data, 2018 MapReduce (MR) is a criterion of Big Data processing model with parallel and distributed large datasets. This model knows difficult problems related to low-level and batch nature of MR that gives rise to an abstraction layer on the top of MR.
Marouane Birjali +2 more
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