Sentence examples for relation classification from inspiring English sources

The fact that almost a third of our relation classification errors were related to confusion between Overlap and Simultaneous seems to be consistent with the notion that merging them was a wise decision.

In industry, relation classification plays a significant role in today׳s search engine.

Based on the above observations, we propose a neural network based framework for relation classification.

We tested our models on the i2b2/VA relation classification challenge dataset.

Deep learning research on relation classification has achieved solid performance in the general domain.

These results are comparable to those of the state-of-the-art systems on the i2b2/VA relation classification challenge.

We also evaluated the impact of word embedding on the performance of LSTM models and showed that medical domain word embedding help improve the relation classification.

Developing a relation classification model also requires training data.

Table 6 shows the medical semantic relation classification results.

The thresholds that yield the best relation classification F-score on the development set are applied to obtain relation classification results on the test data.

To fix this problem, we proposed a binary relation classification model.