Introduction to the product-entity recognition task

The task of named entity recognition is to locate and classify words and phrases in text into predefined categories, which is an important first step for many of these larger information management goals. A framework for Product-entity recognition in Chinese was presented using Conditional Random Fields with a variety of traditional and novel features in this paper. Experimental results show that this approach can achieve an overall F-measure around 89.96, which seems to achieve the current state-of-the-art performance. However, due to the imperfect of Domain Ontology and the complication of reviews texts, the recognition for product named entity may not be better than the research of the traditional named entity recognition.