document classification using a finite mixture model

... Classification Using a Finite Mixture Model Hang Li Kenji Yamanishi C&C Res. Labs., NEC 4-1-1 Miyazaki Miyamae-ku Kawasaki, 216, Japan Email: {lihang,yamanisi} @sbl.cl.nec.co.j p Abstract ... crucial to the accuracy of document classification. Guthrie et. al. have devised a way suitable to documentation classification. Suppose that there are two categories cl ='tennis' and ... may individually appear in the category only very rarely; polysemy problem how to determine that a word like 'ball' in a document refers to a 'tennis ball' and not a 'soccer...

Ngày tải lên: 31/03/2014, 21:20

... more information in lexical entries and increasing am- biguity so that other ambiguity types also can be disambiguated in a similar way via lexical cate- gory disambiguation. This idea has been ... Press, Cambridge, Massachusetts, 1999. S. Narayanan and D Jurafsky. A bayesian model predicts human parse preference and reading times in sentence processing. Proceedings of Advances in Neural Information ... friend accepted the man who was very impressed, the tagger showed a repair since it initially preferred a past-participle analy- sis for accepted and later it had to reanalyze. This is a limitation...

Ngày tải lên: 20/02/2014, 11:21

... using matrix PRICAI-00, 2000, (to appear). Tanaka H. (1995) Statistical Learning of “Case Frame Tree” for Translating English Verbs, Journal of NLP, 2/3, pp. 49-72, (in Japanese). Yamada, ... generalization (Akiba et. al., 1996 and Tanaka, 1995); (2) approaches using structural matching: to obtain transfer rules, several search methods have been proposed for maximal structural matching between ... Laboratories 2-2 Hikaridai, Seika, Soraku Kyoto 619-0288, Japan sumita@slt.atr.co.jp Abstract Building a bilingual dictionary for transfer in a machine translation system is conventionally...

Ngày tải lên: 20/02/2014, 18:20

... sentence. 3 Base Model Our noisy channel model consists of two main com- ponents, a base language model and a noise model. The base language model is a probabilistic lan- guage model which generates an ... the twelfth national conference on Artificial intelli- gence (vol. 1), AAAI ’94, pages 779–784, Menlo Park, CA, USA. American Association for Artifi- cial Intelligence. Lavie, A. and Agarwal, A. (2007). ... speakers for grammar correction. Using only these data sets, we can train our noisy channel model, as we have shown using a bigram language model, and a wFST for our noise model. We have also...

Ngày tải lên: 23/03/2014, 16:20

... Bayesian sentence-based topic model for summarization by making use of both the term -document and term-sentence associations. An efficient variational Bayesian algorithm is derived for model parameter ... document summarization has found wide-ranging applications in information retrieval and web search. Many multi -document summa- rization methods have been developed to extract the most important ... mea- sure and latent semantic analysis. In Proceedings of SIGIR. Daniel D. Lee and H. Sebastian Seung. Algorithms for non-negative matrix factorization. In Advances in Neural Information Processing...

Ngày tải lên: 23/03/2014, 17:20

... USA, June 2008. c 2008 Association for Computational Linguistics Dictionary Definitions based Homograph Identification using a Generative Hierarchical Model Anagha Kulkarni Jamie Callan ... MVN mixture model. The results for the semi-supervised models are non-conclusive. Our post-experimental analysis reveals that the parameter updation process using the unlabeled data has an ... Homo- graphs and Non-homographs. 2.2 Models We formulate the homograph detection process as a generative hierarchical model. Figure 2 provides the plate notation of the graphical model. The la- tent...

Ngày tải lên: 31/03/2014, 00:20

... data. The tool has been demonstrated on artificial data and yeast cell-cycle gene-expression data. Using the yeast microarray data, we have illustrated that our model can help identify regulatory ... resampling with replacement as many as 200 times. This approach, however, has a severe limitation for application to microarray data because most currently available time-course microarray data ... pages doi:10.1155/2009/484601 Research Article Using a State-Space Model and Location Analysis to Infer Time-Delayed Regulatory Networks Chushin Koh, 1 Fang-Xiang Wu, 2, 3 Gopalan Selvaraj, 4 and Anthony J. Kusalik 1,...

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... companies. What senior managers needed was a plan expressed in terms of three broad, critical success factors: qualitative factors, or- ganizational factors, and quantitative factors. To take advantage ... company as a whole ORGANIZATIONAL FACTORS Coordination of organizational behavior in project management is a delicate bal- ancing act, something like sitting on a bar stool. Bar stools usually come ... 13 Environmental Opportunities and Threats Organizational Strengths and Weaknesses Gathering of Information Firm’s Social Responsibility Managerial Values of Management Evaluation of Information Strategy Evaluation Strategy Selection Strategy Implementation External Analysis Internal Analysis FIGURE...

Ngày tải lên: 16/01/2014, 16:33

... boundaries as hidden variables and include probabilities for let- ter transitions within segments. The ad- vantage of this model family is that it can learn from small datasets and easily gen- eralises ... MIT Press, Cambridge, MA, USA. K. Shalonova, B. Gol ´ enia, and P. A. Flach. 2009. To- wards learning morphology for under-resourced fu- sional and agglutinating languages. IEEE Transac- tions on Audio, ... terms of training set size. We want to remind the reader that our two algorithms are aimed at small datasets. We randomly split each dataset into 10 subsets where each subset was a test set and the...

Ngày tải lên: 20/02/2014, 04:20

... 4: Manual Evaluations Here, we manually evaluate quality of summaries, a common DUC task. Human annotators are given two sets of summary text for each document set, generated from two approaches: ... using a classifier model.  HIERSUM : (Haghighi and Vanderwende, 2009) A generative summarization method based on topic models, which uses sentences as an addi- tional level. Using an approximation ... 12 Overall 24 66 2 Table 4: Frequency results of manual quality evaluations. Results are statistically significant based on t-test. T ie indi- cates evaluations where two summaries are rated equal. according...

Ngày tải lên: 20/02/2014, 04:20