Temporal and Spatial Feature Extraction of Events Based on LTP

Natural language in the form of text is an important achievement of human wisdom. Event extraction belongs to the level of information extraction in natural language processing, which aims to present an event in natural language with structured results. With the development of Internet technology, the richness of the high inflation of the network information, the Internet has become a large document library and the potential for big data sets. In order to extract events and their temporal and spatial features from such massive information, this paper proposes a LTP-based preparative filling mechanism, which can effectively use the case of missing event features.

NLPt, event extraction, style, temporal and spatial features, LTP

Jiang Gaoyu, Pan Jingchang, Temporal and Spatial Feature Extraction of Events Based on LTP. 2019 Scientific Conference on Network, Power Systems and Computing (NPSC 2019), 2019: 35-38. DOI: https://doi.org/10.33969/EECS.V3.009.