JU_CSE_GREC10: named entity generation at GREC 2010
Amitava Das, Tanik Saikh, Tapabrata Mondal, Sivaji Bandyopadhyay · International Conference on Natural Language Generation · 2010
This paper presents the experiments carried out at Jadavpur University as part of the participation in the GREC Named Entity Generation Challenge 2010. The Baseline system is based on the SEMCAT, SYNCAT and SYN-FUNC features of REF and REG08-TYPE and CASE features of REFEX elements. The discourse level system is based on the additional positional features: paragraph number, sentence number, word position in the sentence and mention number of a particular named entity in the document. The inclusion of discourse level features has improved the performance of the system.