To answer this question, we extract terms from an introductory computer science course to compare the results of different automatic term extraction tools with ...
Oct 24, 2022 · Most approaches for extracting single-word terms make use of contrastive corpora, ranking higher specific words that are rarely used outside of ...
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Building fine-grained domain models by hand is very time-consuming, so the demand for partial automation is high. This paper investigates how term extraction ...
This paper focuses on the unsupervised automated domain term ex- traction method that considers chunking, pre- processing, and ranking domain-specific terms.
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4 days ago · We present EVATE, the first term extractor designed for event domains and for user-generated content. Unlike traditional term extractors, which ...
Apr 2, 2024 · This review focuses on keyword extraction methods, emphasizing the use of three major Large Language Models(LLMs): Llama2-7B, GPT-3.5, and Falcon-7B.
Cur-rent approaches for term extraction rely on contrastive corpora to identify domain-specific terms, which makes them better suited for specialised terms, ...
Term Extraction, or Automated Term Extraction (ATE), is about extraction domain-specific terms from natural language text.
This paper proposes a domain independent approach for extracting key terms from spoken content based on context and term location information, ...
These rules are based on the quantifiers appearing alongside the terms that represent domain concepts, and the singular versus plural usage of these terms.