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Interactive SPARQL query formulation using provenance
We present in this paper a novel solution for assisting users in formulating SPARQL queries. The high-level idea is that users write “semi-formal...
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Low-latency query compilation
Query compilation is a processing technique that achieves very high processing speeds but has the disadvantage of introducing additional compilation...
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Dose multimodal machine translation can improve translation performance?
Multimodal machine translation (MMT) is a method that uses visual information to guide text translation. However, recent studies have engendered...
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Assessing the Generalization Capabilities of Neural Machine Translation Models for SPARQL Query Generation
Recent studies in the field of Neural Machine Translation for SPARQL query generation have shown rapidly rising performance. State-of-the-art models...
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Saturation-Based Boolean Conjunctive Query Answering and Rewriting for the Guarded Quantification Fragments
Query answering is an important problem in AI, database and knowledge representation. In this paper, we develop saturation-based Boolean conjunctive...
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Automatic Query Generation Based on Adaptive Naked Mole-Rate Algorithm
In the growing information retrieval (IR) world, selecting suitable keywords and generating queries is important for effective retrieval. Modern...
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Speech-to-SQL: toward speech-driven SQL query generation from natural language question
Speech-based inputs have been gaining significant momentum with the popularity of smartphones and tablets in our daily lives, since voice is the most...
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Query-based denormalization using hypergraph (QBDNH): a schema transformation model for migrating relational to NoSQL databases
With the emergence of NoSQL databases, many large applications have migrated from relational databases (RDB) due to their superior flexibility and...
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An SQL query generator for cross-domain human language based questions based on NLP model
The amount of data generated in the modern world is so great that data lakes are now being used to store data. However, relational databases are...
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S3QLRDF: distributed SPARQL query processing using Apache Spark—a comparative performance study
The proliferation of semantic data in the form of Resource Description Framework (RDF) triples demands an efficient, scalable, and distributed...
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Neural Machine Translation with Diversity-Enabled Translation Memory
Neural machine translation (NMT) using translation memory (TM) has been introduced as an emergent technique for improving machine translation systems...
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A discovery system for narrative query graphs: entity-interaction-aware document retrieval
Finding relevant publications in the scientific domain can be quite tedious: Accessing large-scale document collections often means to formulate an...
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Neural machine translation from text to sign language
The paper describes an ongoing project aimed at develo** a neural machine translation approach to translating text into sign language, with the...
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An intelligent natural language query processor for a relational database
Every single byte of data is stored in either a structured or unstructured database. In this era of data exploration, retrieving and processing this...
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Text-image matching for multi-model machine translation
Multi-modal machine translation (MMT) aims to use other modal information to assist text machine translation and to obtain higher quality translation...
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Using model-driven engineering to automate software language translation
The porting or translation of software applications from one programming language to another is a common requirement of organisations that utilise...
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DeepInsight: a CNN-based approach for machine reading comprehension in query answering systems and its applications
Understanding and reading an unstructured text to answer queries on it, also called Machine Reading Comprehension (MRC), has been a hot topic amongst...
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Effective two-tier tokenization for intelligent transportation supply chain systems using hybrid optimized query expansion
Intelligent Transportation Supply Chain Systems has continued to metamorphose forward-looking supply chain management (SCM). Using data from the...
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English–Vietnamese Machine Translation Using Deep Learning for Chatbot Applications
Recently, artificial intelligence-based machine translation has been much improved over traditional methods. A machine translator is very useful for...
