towards robust animacy classification

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Ngày tải lên: 22/06/2014, 00:20

... Jin-Dong Kim, Tomoko Ohta, John McNaught, Sophia Ananiadou, and Jun’ichi Tsujii. 2005. Developing a robust part- of-speech tagger for biomedical text. In Advances in Informatics. Peter D. Turney. ... regularize the classifier specifically for out- of-domain accuracy. We found that adjusting the SVM misclassification penalty (for more regular- ization) can help or hurt out-of-domain. Other regularizations ... conducted. References Nir Ailon and Mehryar Mohri. 2008. An efficient re- duction of ranking to classification. In COLT. Michele Banko and Eric Brill. 2001. Scaling to very very large corpora for...

Ngày tải lên: 20/02/2014, 04:20

... token at the head of the buffer, and pop the stack. 2.1 Classification Transition-based dependency parsing reduces parsing to consecutive multiclass classification. From each configuration one amongst ... in the MaltParser is to use a 2nd- degree polynomial kernel with the SVM. 3 Confidence-weighted classification Dredze et al. (2008) introduce confidence- weighted linear classifiers which are online- classifiers ... On the other hand if it has never been updated before the estimation is prob- ably very bad. CW classification deals with this by having a confidence-parameter for each weight, modeled by a Gaussian...

Ngày tải lên: 20/02/2014, 04:20

... algorithms for sentiment classification, SCL and SFA. Each set of bars represent a cross-domain sentiment classifica- tion task. The thick horizontal lines are in-domain sentiment classification accuracies. ... train- ing. Figure ?? shows the classification results on the five different domains by varying the number of top- ics from 1 to 200. It can be observed that the best classification accuracy is obtained ... Cross- Domain Sentiment Classification. In COLING, page 1327-1335. A. Yessenalina, Y. Choi, and C. Cardie. 2010a. Auto- matically generating annotator rationales to improve sentiment classification. In...

Ngày tải lên: 20/02/2014, 04:20

... sentiment classification using multi- ple source domains. Experimental results using a benchmark dataset for cross-domain sentiment clas- sification show that our proposed method can im- prove classification ... as the classification algo- rithm (Ng, 2004), which produces a sparse model in which most irrelevant features are assigned a zero weight. This enables us to select useful features for classification ... outlined in Section 5.1, so any changes in classification accuracy can be directly at- tributed to the contribution of unlabeled data. Figure 4 shows classification accuracy on the DVD target domain...

Ngày tải lên: 20/02/2014, 04:20

... hierarchical text classification with latent concepts. Experimental results show that the performance of our algorithm is com- petitive with the recently proposed hierarchi- cal classification algorithms. 1 ... criterions, e.g. “Entertainment”, “Sport- s” and “Education” in news classification, “Junk E- mail” and “Ordinary Email” in email classification. In the literature, many algorithms (Sebastiani, 2002; Yang ... most of these methods are quite effective in tra- ditional text classification applications. In past serval years, hierarchical text classification has become an active research topic in database...

Ngày tải lên: 20/02/2014, 05:20

... (2007) conducts 11 classification tasks includ- ing six 2-way classifications, two 3-way classifica- tions, one 6-way classification, one 8-way classifi- cation, and one 14-way classification. In our ... Automatic verb classification using a general feature space. Master’s thesis, University of Toronto. Joanis, E., Stevenson, S., and James, D. (2007). A general feature space for automatic verb classification. ... verb classification. In Proceedings of the 19th International Conference on COLING, pages 1023–1029, Taiwan, China. 442 the linguistic conditions which are crucial for lex- ical semantic classification...

Ngày tải lên: 20/02/2014, 09:20

... in turn used to train the local clas- sifier. Therefore, the order of inference and the lo- cal classification are dynamically incorporated in the learning phase. Guided learning is not as hard ... 2007. c 2007 Association for Computational Linguistics Guided Learning for Bidirectional Sequence Classification Libin Shen BBN Technologies Cambridge, MA 02138, USA lshen@bbn.com Giorgio Satta Dept. ... USA joshi@seas.upenn.edu Abstract In this paper, we propose guided learning, a new learning framework for bidirectional sequence classification. The tasks of learn- ing the order of inference and training the local classifier are...

Ngày tải lên: 20/02/2014, 12:20

... state-of-the-art accuracy on question classification. (b) PB predicative structures are not effective for question classification but show promising results for answer classification on a cor- pus of answers ... representation too sparse. We learn answer classification with a binary SVM which determines if an answer is correct for the tar- get question: here, the classification instances are question, answer ... the question but could not be judged as valid answers 5 . Answer classification results To test the impact of our models on answer classification, we ran 5-fold cross-validation, with the constraint...

Ngày tải lên: 20/02/2014, 12:20

... our method is sufficiently robust to account for a large number of ambiguities like nu- merals, foreign words. 5 Conclusion In this paper, we presented a radical and robust model of Chinese segmentation ... information and it treats character strings as context which provides infor- mation on the possible classification of character- breaks as word-breaks. We are confident that once a standard model of ... 1995). Last, but not the least, we will explore the possibility of implementing a sharable tool for robust segmentation for all Chinese texts without training. References Academia Sinica Balanced...

Ngày tải lên: 20/02/2014, 12:20

... a training or test instance, and the clustering algorithm used to coordinate the coref- erence classification decisions. Selecting a corefer- ence system, then, is a matter of instantiating these elements ... induction system (Quinlan, 1993), the RIPPER rule learning algorithm (Cohen, 1995), and maximum entropy classification (Berger et al., 1996). The classifica- tion model induced by each of these learners ... Association for Computational Linguistics Machine Learning for Coreference Resolution: From Local Classification to Global Ranking Vincent Ng Human Language Technology Research Institute University...

Ngày tải lên: 20/02/2014, 15:20

... increasingly useful. Traditionally, most research effort has been directed towards “ob- jective” information, such as classification accord- ing to topic; however, interest is growing in produc- ing ... Artificial Intelligence (AAAI-2000), Austin, Texas. Jian Zhang and Yiming Yang. 2003. ”robustness of regularized linear classification methods in text categorization”. In Proceedings of the 26th An- nual ... function of d. Models that take this form are commonplace in classification. 2.3 Turney’s Classifier as Naive Bayes Although Naive Bayes classification requires a la- beled corpus of documents, we...

Ngày tải lên: 20/02/2014, 16:20

... O-polysaccharide of Proteus mirabilis G1 (Eur. J. Biochem. 269) 1409 Structure of the O-polysaccharide and classification of Proteus mirabilis strain G1 in Proteus serogroup O3 Zygmunt Sidorczyk 1 , Krystyna...

Ngày tải lên: 21/02/2014, 15:20

... types based on manual examina- tion of 50 fluency edit misclassifications and 50 factual edit misclassifications. leads to a small decrease in classification accu- racy, namely 86.68% instead of 87.14% ... have better understanding of errors made by the classifier, 50 fluency edit misclassifications and 50 factual edit misclassifications are ran- domly selected and manually examined. The er- rors are ... agree with the feature analy- sis. Fluency edit misclassifications are typically longer phrases that carry the same meaning while factual edit misclassifications are typically sin- gle words or short...

Ngày tải lên: 22/02/2014, 03:20

... (not including the tool itself) is needed to successfully use the technique? The results of this classification are summarized in Table 3. 6.4 Evaluation of Prevention-Focused Tech- niques with ... string that caused the type conversion to occur. In this case, this value is also the name of A Classification of SQL Injection Attacks and Countermeasures William G.J. Halfond, Jeremy Viegas,...

Ngày tải lên: 05/03/2014, 23:20

... that cannot be easily incorporated into the existing classification scheme, resulting in a growing problem in the comprehensive evolutionary classification of the secretory PLA 2 super- family [1]. ... muscle contractions after only several minutes of exposure to the toxin (not shown). Evolutionary classification of the group I PLA 2 family – no orthologous group I PLA 2 s exist in invertebrates Phylogenomic ... A 2 isolated from the sea anemone Urticina crassicornis – its primary structure and phylogenetic classification Andrej Razpotnik 1 , Igor Kriz ˇ aj 2 , Jernej S ˇ ribar 2 , Dus ˇ an Kordis ˇ 2 ,...

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