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BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph Filtering
April 5, 2024, 4:42 a.m. | Azmine Toushik Wasi, Taki Hasan Rafi, Raima Islam, Dong-Kyu Chae
cs.LG updates on arXiv.org arxiv.org
Abstract: Knowledge Graphs (KGs) have proven essential in information processing and reasoning applications because they link related entities and give context-rich information, supporting efficient information retrieval and knowledge discovery; presenting information flow in a very effective manner. Despite being widely used globally, Bangla is relatively underrepresented in KGs due to a lack of comprehensive datasets, encoders, NER (named entity recognition) models, POS (part-of-speech) taggers, and lemmatizers, hindering efficient information processing and reasoning applications in the language. …
abstract applications arxiv bangla construction context cs.cl cs.ir cs.lg cs.ne cs.si discovery filtering flow graph graphs information knowledge knowledge graph knowledge graphs presenting processing reasoning retrieval semantic type
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