A Survey of Deep Learning Methods for Relation Extraction
نویسنده
چکیده
Relation Extraction is an important subtask of Information Extraction which has the potential of employing deep learning (DL) models with the creation of large datasets using distant supervision. In this review, we compare the contributions and pitfalls of the various DL models that have been used for the task, to help guide the path ahead.
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ورودعنوان ژورنال:
- CoRR
دوره abs/1705.03645 شماره
صفحات -
تاریخ انتشار 2017