Báo cáo khoa học: "Semi-Supervised Active Learning for Sequence Labeling" pptx

... as confidence estimators. 3 Active Learning for Sequence Labeling AL is a selective sampling technique where the learning protocol is in control of the data to be used for training. The intention ... utility functions for sequence labeling. We have chosen this straightforward one for simplicity and because it has proven to be very effective (Settles and Craven, 2008). For t...

Ngày tải lên: 23/03/2014, 16:21

... 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 ... Hierarchical Sequential Learning We define the problem of joint extraction of opin- ion expressions and their attributes as a sequence tagging task as follows. Given a sequence...

Ngày tải lên: 17/03/2014, 00:20

... 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, samples for which two classifiers ... 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 tra...

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

... improves perfor- mance. For example, L(MWD,+) outscores U(MWD,+) by 19%. Using active learning also significantly improves performance: L(MWD,+) outscores L(MWD,-) by 13%. This shows that active learning ... time and effort might be saved by using active learning to find good sug- gestions. Also, as Vyas et al. (2009) show, non- expert users often produce poor-quality seed sets. 3...

Ngày tải lên: 30/03/2014, 21:20

... 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