A Linguistic Model for Terminology Extraction based Conditional Random Fields
arXiv:1210.0252v27 citations
Originality Synthesis-oriented
AI Analysis
This addresses terminology extraction for researchers or practitioners in natural language processing, but it appears incremental as it applies an existing method to a specific task.
The paper tackled the problem of terminology extraction from specialized text corpora by applying a linear Conditional Random Fields (CRF) model, demonstrating its feasibility without specifying concrete performance numbers.
In this paper, we show the possibility of using a linear Conditional Random Fields (CRF) for terminology extraction from a specialized text corpus.