Abstract.) Ying Xu, Richard J. MuraF, and Edward C. Uberbacher Computer Science and Mathematics Division and tLife Sciences Division Computational methods for gene identification ...
This paper presents a novel way of improving POS tagging on heterogeneous data. First, two separate models are trained (generalized and domain-specific) from the same data set by...
Automatic text tagging is an important component in higher level analysis of text corpora, and its output can be used in many natural language processing applications. In language...
This paper examines tagging models for spontaneous English speech transcripts. We analyze the performance of state-of-the-art tagging models, either generative or discriminative, ...
Vladimir Eidelman, Zhongqiang Huang, Mary P. Harpe...
We present a web-based algorithm for the task of POS tagging of unknown words (words appearing only a small number of times in the training data of a supervised POS tagger). When ...
Shulamit Umansky-Pesin, Roi Reichart, Ari Rappopor...