Bidirectional Long Short-Term Memory (BILSTM) with Conditional Random Fields (CRF) for Knowledge Named Entity Recognition in Online Judges (OJS)
Muhammad Asif Khan, Tayyab Naveed, Elmaam Yagoub, Guojin Zhu · International Journal on Natural Language Computing · 2018
This study investigates the effectiveness of Knowledge Named Entity Recognition in Online Judges (OJs).OJs are lacking in the classification of topics and limited to the IDs only.Therefore a lot of time is consumed in finding programming problems more specifically in knowledge entities.A Bidirectional Long Short-Term Memory (BiLSTM) with Conditional Random Fields (CRF) model is applied for the recognition of knowledge named entities existing in the solution reports.For the test run, more than 2000 solution reports are crawled from the Online Judges and processed for the model output.The stability of the model is also assessed with the higher F1 value.The results obtained through the proposed BiLSTM-CRF model are more effectual (F1: 98.96%) and efficient in lead-time.