Sentence examples for relation identification from inspiring English sources

The current relation extraction model is trained on the relation types (except the 'kill' relation) and data from the paper Roth and Yih, Global inference for entity and relation identification via a linear programming formulation, 2007, except instead of using the gold NER tags, we used the NER tags predicted by Stanford NER classifier to improve generalization.

Essential to natural language understanding are the processes of part-of-speech tagging, parsing, and semantic relation identification.

After introducing the distinction between semantic role labeling and semantic relation identification, we review the relevant literatures in Section 2.2.

Regarding practical relation identification problems, Wang et al. (2010) interpreted the implicit semantic relation between N-N compounds by adopting a dynamic approach using paraphrasing verbs.

It results in a hierarchical relation system of 24 fine-grained semantic relations, practically achieving the completeness and uniqueness criteria of relation identification.

Finally, we note that in semantic relation identification for CPCs, we adopt a two-way linkage to avoid interference between head assignments.

We are currently working on a more robust miRNA-relation identification workflow implemented in UIMA framework and JAVA for full text.

In this sense, I find this statement puzzling: "Distinguishing between two types of miRNA mentions has enabled us to achieve better recall and precision in document retrieval and relations identification".

Subjects observed drawings of objects (arranged as 2 × 2 arrays) and, immediately after viewing, were asked either an identification question that did not address spatial relations (identification memory) or a question about the spatial arrangement of the array (spatial memory; Fig. 1A).

Despite the fact that several  databases host miRNA-associations derived from text, lower sensitivity and lack published  details for miRNA entity recognition and associated relations identification has motivated the  need for developing comprehensive methods that are freely available for the scientific  community.

In this sense, I find this statement puzzling: "Distinguishing between two types of miRNA mentions has enabled us to achieve better recall and precision in document retrieval and relations identification"." RESPONSE:  The reviewer has aptly pointed out the interesting future work we planned to implement.