Báo cáo khoa học: "Structural Correspondence Learning for Parse Disambiguation" pot

... 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 ... the first parse for each sentence; oracle represents the accuracy achieved by a model that always selects the best parse from the set of potenti...

Ngày tải lên: 08/03/2014, 21:20

... 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 unsupervised language learning? ... basic units of meaning). For example, the English word misunderstanding would be segmented into mis - understand - ing. This task is an informative testbed for our exploration, as strong...

Ngày tải lên: 31/03/2014, 00:20

... 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

... 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 ... an accuracy of 84% for accent, 71% for IPB, and 84% for break index detection at the syllable level. Chen et al. (2004) used a Gaussian mix- ture model for acoustic-prosodic...

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

... sen- tence. Therefore, there are k+1 topic transitions, one for T-START and others for k content topics; and k emission probabilities for the content topics, with an additional one for the functional ... C.D. Manning. 2005. Un- supervised learning of field segmentation models for information extraction. In Proceedings of the 43rd an- nual meeting on association for computational...

Ngày tải lên: 30/03/2014, 21:20

... Weakly Supervised Learning for Cross-document Person Name Disambiguation Supported by Information Extraction Cheng Niu, Wei Li, and Rohini K. Srihari ... name disambiguation calls for NLP/IE support which may have extracted the key person’s identification information from the textual documents. compared. Significant performance enhancement up ... probabilities in Eq. (3), for a...

Ngày tải lên: 31/03/2014, 03:20