USING VOTING APPROACH FOR EVENT EXTRACTION AND EVENT-DCT , EVENT-TIME RELATION IDENTIFICATION

ABSTRACT Temporal information extraction is a popular and interesting research field in the area of Natural Language Processing (NLP) applications such as summarization, question answering (QA) and information extraction. In this paper, we have reported extraction of events and identification of different temporal relations between event-time and even-document creation time (DCT) within the TimeML framework. Our long term plan is to make temporal structure that can be used in the applications like question answering, textual entailment, summarization etc. In our approach, we propose a voted approach for (i) event extraction (ii) event -document creation time (DCT) relation identification (iii) event -time relation identification from the text under th