CLAISep 30, 2012

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.

Foundations

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