Paper: Using Sequence Kernels to identify Opinion Entities in Urdu

ACL ID W11-0308
Title Using Sequence Kernels to identify Opinion Entities in Urdu
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2011
Authors

Automatic extraction of opinion holders and targets (together referred to as opinion entities) is an important subtask of senti- ment analysis. In this work, we attempt to accurately extract opinion entities from Urdu newswire. Due to the lack of re- sources required for training role labelers and dependency parsers (as in English) for Urdu, a more robust approach based on (i) generating candidate word sequences corresponding to opinion entities, and (ii) subsequently disambiguating these se- quences as opinion holders or targets is presented. Detecting the boundaries of such candidate sequences in Urdu is very differ- ent than in English since in Urdu, grammatical categories such as tense, gender and case are captured in word inflections. In this work, we exploit the morph...