Partially lexicalized parsing model utilizing rich features

So-Young Park, Yong-Jae Kwak, Joon-Ho Lim, Hae-Chang Rim, Soo-Hong Kim
2004 Interspeech 2004   unpublished
In this paper, we propose a partially lexicalized parsing model utilizing rich features to improve the parsing ability and reduce the parsing cost. In order to disambiguate parse trees effectively, it employs several useful features such as a syntactic label feature, a content feature, a functional feature, and a size feature. Besides, it is partially lexicalized so as to reduce the parsing cost closely connected with lexical information. Moreover, it is designed to be suitable for representing
more » ... word order variation and constituent ellipsis in Korean sentences. Experimental results show that the proposed parsing model using more features performs better although it less depends on lexical information.
doi:10.21437/interspeech.2004-244 fatcat:aw6bcyiv5nex7inanrkvtcjhfm