software for machine learning

... with machine learning algorithms that perform classification, clustering and pattern induction tasks. • Having a good annotation scheme and accurate annotations are critical for machine learning ... that this is where you start for designing the features that go into your learning algorithm. The better the features, the better the performance of the machine learning algorithm! Preparing ... particular problem or phenomenon that has sparked your interest, for which you will need to label natural language data for training for machine learning. Consider two kinds of problems. First imagine...

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... correspond. To solve the former problem, we apply a maxi- mum entropy model to Knight and Marcu’s model to introduce machine learning features that are de- fined not only for CFG rules but also for other characteristics ... 850–857, Sydney, July 2006. c 2006 Association for Computational Linguistics Trimming CFG Parse Trees for Sentence Compression Using Machine Learning Approaches Yuya Unno 1 Takashi Ninomiya 2 Yusuke ... cre- ate a compression forest as Knight and Marcu did. We select the tree assigned the highest probability from the forest. Features in the maximum entropy model are de- fined for a tree node and...

Ngày tải lên: 20/02/2014, 12:20

... systems adopting the standard machine learning approach, outperforming them by as much as 4–7% on the three data sets for one of the performance metrics. 2 Related Work As mentioned before, our approach ... pages 104–111. J. R. Quinlan. 1993. C4.5: Programs for Machine Learning. Morgan Kaufmann. W. M. Soon, H. T. Ng, and D. Lim. 2001. A machine learning approach to coreference resolution of noun phrases. ... ranker underper- forms the perfect ranker by about 5% for BNEWS and 3% for both NPAPER and NWIRE in terms of F-measure, suggesting that the supervised ranker still has room for improvement. Moreover,...

Ngày tải lên: 20/02/2014, 15:20

... (Daelemans et al., 2004) for Memory- Based Learning, the MaxEnt Toolkit (Le, 2004) for Maximum Entropy and LIBSVM (Chang and Lin, 2001) for Support Vector Machines. For TiMBL we used k nearest ... performance for gold-standard trees scoring 89.34% on accuracy and 86.87% on f- score. The learning curves for the three algo- rithms, shown in Figure 4, are also informative, with SVM outperforming ... memory-based learning to perform various graph transformations. One of the transformations is node relabelling, which adds function tags to parser output. They report an f- score of 88.5% for the...

Ngày tải lên: 08/03/2014, 02:21

... that machine learn- ing can be applied to develop good auto- matic evaluation metrics for machine trans- lated sentences. This paper further ana- lyzes aspects of learning that impact per- formance. ... criteria. Machine learning af- fords a unified framework to compose these crite- ria into a single metric. In this paper, we have demonstrated the viability of a regression approach to learning ... and Chris Brockett. 2001. A machine learning approach to the automatic eval- uation of machine translation. In Proceedings of the 39th Annual Meeting of the Association for Computational Lin- guistics,...

Ngày tải lên: 08/03/2014, 02:21

... used to build a machine learning process. The notion of observing data, learning from it, and then automating some process of recognition is at the heart of machine learning and forms the primary ... exploring machine learning with R! Before we proceed to the case studies, however, we will review some R functions and operations that we will use frequently. R Basics for Machine Learning As ... message that is printed when you draw the R for Machine Learning | 19 www.it-ebooks.info With the function defined, we will use the lapply function, short for “list-apply,” to iterate this function...

Ngày tải lên: 15/03/2014, 16:20

... 2005. c 2005 Association for Computational Linguistics Using Emoticons to reduce Dependency in Machine Learning Techniques for Sentiment Classification Jonathon Read Department of Informatics University ... best- performing settings for the Na ¨ ıve Bayes classifier was a window context of 130 tokens taken from the largest training set of 22,000 articles. Similarly, the best performance for the SVM ... language-style dependency. Also, note that neither machine- learning model consistently out-performs the other. We speculate that this, and the generally mediocre performance of the classifiers, is due (at...

Ngày tải lên: 17/03/2014, 06:20

... r). 4 The joint probability model can be formulated, if desired, as a language model times a channel model. Learning Non-Isomorphic Tree Mappings for Machine Translation Jason Eisner, Computer ... estimate a model from unaligned data. 4 A Probabilistic TSG Formalism For expository reasons (and to fill a gap in the literature), first we formally present non-synchronous TSG. Let Q be a set of ... statistical formalisms (limited to isomorphic trees), synchronous TSG allows local distortion of the tree topol- ogy. We reformulate it to permit dependency trees, and sketch EM/Viterbi algorithms for...

Ngày tải lên: 17/03/2014, 06:20

... Califf and R. J. Mooney. 2004. Bottom-Up Rela- tional Learning of Pattern Matching Rules for Infor- mation Extraction. Journal of Machine Learning Re- search, MIT Press. W. Drozdzynski, H U.Krieger, ... 584–591, Prague, Czech Republic, June 2007. c 2007 Association for Computational Linguistics A Seed-driven Bottom-up Machine Learning Framework for Extracting Relations of Various Complexity Feiyu ... patterns, the learning system is not re- stricted to a particular linguistic representation and is therefore suitable for various linguistic analysis methods and representation formats. The...

Ngày tải lên: 23/03/2014, 18:20

... similar. 3 Ellipsis Resolution by Machine Learning Since a huge text corpus has become widely available, the machine- learning approach has been utilized for some problems in natural lan- ... positional information, i.e., search space of morphemes from the target predicate. Positional information can be one of five kinds: before, at the latest, here, next, and afterward. For example, ... 'ga(v.)' case, except for a few attributes. 6 Conclusion and Future Work This paper proposed a method for resolving the ellipsis that appear in Japanese dialogues. A machine- learning algorithm...

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... of AI systems to conform to new knowledge is impractical, but machine learning metho ds mightbe able to trackmuchofit. 1.1.2 Wellsprings of Machine Learning Workinmachine learning is nowconverging ... design time. Machine learning metho ds can b e used for on-the-job improvement of existing machine designs.  The amount of knowledge available ab out certain tasks mightbe to o large for explicit ... could have done b efore. We can contrast sp eed-up learning with metho ds that create gen uinely new functions|ones that might give dierent results after learning than they did b efore. Wesay that...

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