Hierarchical Coherence Modeling for Document Quality Assessment

Text coherence plays a key role in document quality assessment. Most existing text methods only focus on similarity of adjacent sentences. However, local exists sentences with broader contexts and diverse rhetoric relations, rather than just similarity. Besides, the highlevel is also an important aspect quality. To this end, we propose hierarchical model for In our model, implement attention mechanism to capture location semantics, bilinear tensor layer measure max-coherence pooling acquiring high-level coherence. We evaluate proposed method two realistic tasks: news judgement automated essay scoring. Experimental results demonstrate validity superiority work.