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Found 6 papers, 2 papers with code
Malaysian English News Decoded: A Linguistic Resource for Named Entity and Relation Extraction
We then fine-tuned the spaCy NER tool and validated that having a dataset tailor-made for Malaysian English could improve the performance of NER in Malaysian English significantly.
How well ChatGPT understand Malaysian English? An Evaluation on Named Entity Recognition and Relation Extraction
Malaysian English is unique as it exhibits morphosyntactic and semantical adaptation from local contexts.
A Linguistically Driven Framework for Query Expansion via Grammatical Constituent Highlighting and Role-Based Concept Weighting
In this paper, we propose a linguistically-motivated query expansion framework that recognizes and en-codes significant query constituents that characterize query intent in order to improve retrieval performance.
Coupled intrinsic and extrinsic human language resource-based query expansion
Poor information retrieval performance has often been attributed to the query-document vocabulary mismatch problem which is defined as the difficulty for human users to formulate precise natural language queries that are in line with the vocabulary of the documents deemed relevant to a specific search goal.
Natural language technology and query expansion: issues, state-of-the-art and perspectives
Natural language queries consist of multiple linguistic features which serve to represent the intended search goal.
Leveraging Cognitive Search Patterns to Enhance Automated Natural Language Retrieval Performance
We formalize the application of these patterns by considering a query conceptual representation and introducing a set of operations allowing to operate modifications on the initial query.
