Mining Chinese comparative sentences by semantic role labeling
Feng Hou, Guohui Li · 2008
This paper studies the problem of mining Chinese comparative sentences in text documents by using Semantic Role Labeling (SRL). The comparative opinion can be divided into six semantic roles: Holder, Entity 1, Comparative predicates, Entity 2, Attributes and Sentiments. These six opinion elements were recognized and labeled by using SRL. A corpus of Chinese comparative sentences was manually labeled at first. Then a Conditional Random Fields (CRFs) model was trained by learn from the corpus. Finally new comparative sentences were labeled by using this CRFs model, and comparative relations were extracted afterward.