The correlations between the different parameters can be expressed by an asymmetric relation called “backoff”. Subsequently, we present a novel recursive ...
Abstract. The Data Oriented Parsing (DOP) model currently achieves state-of-the-art parsing on benchmark corpora. However, existing DOP parameter estimation ...
Sep 26, 2016 · The correlations between the different parameters can be expressed by an asymmetric relation called “backoff”. Subsequently, we present a novel ...
Despite these differences, we employ a backoff method for parameter estimation by redistributing probability mass among DOP model subtrees. Katz Backoff The ...
Search UvA-DARE ; Author. K. Sima'an. L. Buratto ; Year: 2003 ; Title: Backoff Parameter Estimation for the DOP Model ; Journal: Lecture Notes in Computer Science ...
We show that this new estimator -- called the Back-Off DOP (BO-DOP) estimator -- outperforms both previous models. We tested it on the OVIS treebank, a Dutch ...
Oct 12, 2016 · Abstract. Data Oriented Parsing (DOP) is a probabilistic performance approach to parsing natural language. Several DOP models have been ...
Backoff Estimation of the LFG-DOP model param- eters, including discard generated fragments, natu- rally addresses a major aspect of how to employ LFG-. DOP.
Backoff Estimation of the LFG-DOP model param- eters, including discard generated fragments, natu- rally addresses a major aspect of how to employ LFG-. DOP.
3 Back-off as parameter estimation for DOP models. 33. 3.1 Outline of a ... • BO-DOP1: the DOP model obtained by applying the back-off estimation.