Chunk parsing revisited

@misc{citeulike:1222122, abstract = {Chunk parsing is conceptually appealing but its performance has not been satisfactory for practical use. In this paper we show that chunk parsing can perform significantly better than previously reported by using a simple slidingwindow method and maximum entropy classifiers for phrase recognition in each level of chunking. Experimental results with the Penn Treebank corpus show that our chunk parser can give high-precision parsing outputs with very high speed (14 msec/sentence). We...}, author = {Tsuruoka, Y. and Tsujii, J. }, citeulike-article-id = {1222122}, keywords = {chunk, ml, nlp, parsing}, posted-at = {2007-04-24 14:25:59}, priority = {2}, title = {Chunk parsing revisited}, url = {http://citeseer.ist.psu.edu/tsuruoka05chunk.html}, year = {2005} }

TY - GEN ID - citeulike:1222122 L3 - citeulike-article-id:1222122 TI - Chunk parsing revisited N2 - Chunk parsing is conceptually appealing but its performance has not been satisfactory for practical use. In this paper we show that chunk parsing can perform significantly better than previously reported by using a simple slidingwindow method and maximum entropy classifiers for phrase recognition in each level of chunking. Experimental results with the Penn Treebank corpus show that our chunk parser can give high-precision parsing outputs with very high speed (14 msec/sentence). We... KW - chunk KW - ml KW - nlp KW - parsing AU - Tsuruoka, Y AU - Tsujii, J PY - 2005/// UR - http://citeseer.ist.psu.edu/tsuruoka05chunk.html ER -