Paper: Extracting Opinion Expressions and Their Polarities – Exploration of Pipelines and Joint Models

ACL ID P11-2018
Title Extracting Opinion Expressions and Their Polarities – Exploration of Pipelines and Joint Models
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2011
Authors

We investigate systems that identify opinion expressions and assigns polarities to the ex- tracted expressions. In particular, we demon- strate the benefit of integrating opinion ex- traction and polarity classification into a joint model using features reflecting the global po- larity structure. The model is trained using large-margin structured prediction methods. The system is evaluated on the MPQA opinion corpus, where we compare it to the only previ- ously published end-to-end system for opinion expression extraction and polarity classifica- tion. The results show an improvement of be- tween 10 and 15 absolute points in F-measure.