Paper: IHS R&D Belarus: Cross-domain extraction of product features using CRF

ACL ID S14-2051
Title IHS R&D Belarus: Cross-domain extraction of product features using CRF
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

This paper describes the aspect extraction system submitted by IHS R&D Belarus team at the SemEval-2014 shared task re- lated to Aspect-Based Sentiment Analy- sis. Our system is based on IHS Goldfire linguistic processor and uses a rich set of lexical, syntactic and statistical features in CRF model. We participated in two domain-specific tasks ? restaurants and laptops ? with the same system trained on a mixed corpus of reviews. Among sub- missions of constrained systems from 28 teams, our submission was ranked first in laptop domain and fourth in restaurant domain for the subtask A devoted to as- pect extraction.