In this paper, we first analyze and classify the empty categories in a Hindi dependency treebank and then identify various discovery procedures to automatically detect the existe...
Chaitanya G. S. K., Samar Husain, Prashanth Mannem
We propose two general and robust methods for enriching resources annotated in the Frame Semantic paradigm with syntactic dependency graphs, which can provide useful additional in...
The GE-CMU team is developing the TIPSTER/SHOGUN system under the governmentsponsored TIPSTER program, which aims to advance coverage, accuracy, and portability in tex t interpret...
Paul S. Jacobs, George B. Krupka, Lisa F. Rau, Tod...
We present the first application of the head-driven statistical parsing model of Collins (1999) as a simultaneous language model and parser for largevocabulary speech recognition....
Data-driven learning based on shift reduce parsing algorithms has emerged dependency parsing and shown excellent performance to many Treebanks. In this paper, we investigate the e...