Báo cáo khoa học: "Adaptive Transformation-based Learning for Improving Dictionary Tagging" pdf

... Adaptive Transformation-based Learning for Improving Dictionary Tagging Burcu Karagol-Ayan, David Doermann, and Amy Weinberg Institute for Advanced Computer Studies (UMIACS) University ... by 2.77% for tokens and 2.27% for phrases for the Cebuano dictionary. As for the Iraqi Ara- bic dictionary, using TBL(font) and GT(font) re- sulted in an improvement of 0.57% and 0.85%...

Ngày tải lên: 17/03/2014, 22:20

... hetero- geneous transfer learning relates to other types of learning, Figure 1 presents an intuitive illustration of four learning strategies, including traditional machine learning, transfer learning across ... in Transfer Learning In the past, several other works made use of trans- fer learning for cross-feature-space learning. Wu and Oard (2008) proposed to handle the cross-...

Ngày tải lên: 08/03/2014, 00:20

Ngày tải lên: 08/03/2014, 01:20

Ngày tải lên: 08/03/2014, 01:20

... Greece, 2 April 2009. c 2009 Association for Computational Linguistics Structural Correspondence Learning for Parse Disambiguation Barbara Plank Alfa-informatica University of Groningen, The Netherlands b.plank@rug.nl Abstract The ... of Structural Correspondence Learning (SCL) (Blitzer et al., 2006) for domain adaptation of a stochastic attribute-value grammar (SAVG). So far, SCL...

Ngày tải lên: 08/03/2014, 21:20

... construc- tion. For instance, one can add λ δ g I (δ, x, i) and λ ′ δ, ˆ δ g ′ I (δ, ˆ δ, x, i) to Equation (1) for δ ∈ {0, 1, , 9}, in order to allow more individualized learning for each label. Notice ... g ′ O are feature vectors defined for Opinion extraction, g P and g ′ P are feature vectors defined for Polarity extraction, and g S and g ′ S are feature vectors defined for St...

Ngày tải lên: 17/03/2014, 00:20

... data. Finally we compared our co-training perfor- mance with supervised learning. For supervised learning, all labeled utterances except for the test set are used for training. We used most confi- dent ... co-training is how to select informative samples. Active learning ap- proaches, such as Muslea et al. (2000), can gener- ally select more informative samples, for example, sample...

Ngày tải lên: 23/03/2014, 16:21

... such ideas can be adapted for this task is one of many avenues for future research. 10.6 Error Analysis Some errors are due to the variety of hedge forms. For example, the learning models were unsuccess- ful ... avenues for future research. 1 Introduction The automatic processing of scientific papers using NLP and machine learning (ML) techniques is an increasingly important aspect...

Ngày tải lên: 23/03/2014, 18:20

... pages 737–745, Columbus, Ohio, USA, June 2008. c 2008 Association for Computational Linguistics Unsupervised Multilingual Learning for Morphological Segmentation Benjamin Snyder and Regina Barzilay Computer ... of information for automatic lin- guistic analysis as well. In this paper we investi- gate two questions: (i) Can we exploit cross-lingual correspondences to improve unsupervi...

Ngày tải lên: 31/03/2014, 00:20

... interpolation, we must also choose whether smoothing (a prereq- uisite for backoff) is performed before or after the interpolation. If we smooth before the interpolation, then the frequencies will be overly ... approach for LSA-adapted modeling, how- ever, we found this approach to be inferior to di- rect estimation of the posterior probability for word prediction (Trnka et al., 2006)....

Ngày tải lên: 31/03/2014, 00:20