Báo cáo khoa học: "Multi-Criteria-based Active Learning for Named Entity Recognition" ppt

... informative for current model. 2.1.2 Informativeness Measure for Named Entity Based on the above informativeness measure for a word, we compute the overall informativeness de- gree of a named ... criteria all together for active learning. Furthermore, such measures and strategies can be easily adapted to other active learning tasks as well. 2 Multi-criteria for...

Ngày tải lên: 31/03/2014, 03:20

Ngày tải lên: 08/03/2014, 01:20

... structures, therefore using only word forms is not enough for many computational tasks. In this paper we an- alyze the effect of morphology in a Named Entity Recognition system for Turkish. We start ... information extraction is the Named Entity Recognition (NER) which aims to locate and classify the named entities of an unstruc- tured text. State-of-the-art NER systems have bee...

Ngày tải lên: 30/03/2014, 21:20

... 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

... 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

... 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