Báo cáo khoa học: "Pointwise Prediction for Robust, Adaptable Japanese Morphological Analysis" doc

... Pointwise Prediction for Robust, Adaptable Japanese Morphological Analysis Graham Neubig, Yosuke Nakata, Shinsuke Mori Graduate School of Informatics, Kyoto University Yoshida ... we find that a combination of pointwise prediction, partial annota- tion, and active learning allows for easy adaptation. 2 Japanese Morphological Analysis Japanese MA takes an unsegmented string...

Ngày tải lên: 30/03/2014, 21:20

... system's architecture is shown in Figure 1. 3 The VIT Format The VIT (short for Verbmobil Interface Term) was designed as a common output format for the two alternative and independently developed ... need for a common out- put format is still present, since there are three al- ternative syntactic-semantic parsing modules in the new Verbmobil system, all of which again...

Ngày tải lên: 17/03/2014, 07:20

... parentheses after SEM. This content is removed before multimodal pars- ing and integration and replaced afterwards. For detailed explanation of our technique for abstract- ing over and then re-integrating ... ges- ture processing is straightforward and efficient. 3.1 Meaning Representation for Concept Accuracy The hierarchically nested XML representation above is effective for processi...

Ngày tải lên: 31/03/2014, 20:20

... London) for providing the Lanp clone, which was produced from a cDNA originally provided by Dr A. Matilla (ICH, London), Filippo Prischi for help with the gromacs software, and Dr L Masino for helpful ... into the groove formed by the concave surface of the LRR domain. Stabilizing interactions could form between His230 of PP2A-C and Asp119 and Asn94 of Anp32a. A salt bridge could form b...

Ngày tải lên: 18/02/2014, 17:20

... Meeting of the Association for Computational Linguistics, pages 211–219, Portland, Oregon, June 19-24, 2011. c 2011 Association for Computational Linguistics Goodness: A Method for Measuring Machine ... approach faces a serious issue when forward and backward translation models are symmetric. In this case, back-translation will not be very informative to indicate forward translation qu...

Ngày tải lên: 20/02/2014, 04:20

... 57–64, Sydney, July 2006. c 2006 Association for Computational Linguistics Acceptability Prediction by Means of Grammaticality Quantification Philippe Blache, Barbara Hemforth & St ´ ephane Rauzy Laboratoire ... France {blache,hemforth,rauzy}@lpl.univ-aix.fr Abstract We propose in this paper a method for quantifying sentence grammaticality. The approach based on Property Grammars, a...

Ngày tải lên: 20/02/2014, 11:21

... characters and 0.33 for words, indicating that characters are less noisy than words, and are therefore more suitable for use in align. 7. Conclusions This paper has proposed a method for aligning ... regression. The result for English-German is s 2 = 7.3, and for English-French is s 2 = 5.6. Again, we have found that the difference in the two slopes is not too important. The...

Ngày tải lên: 20/02/2014, 21:20

... Knight University of Southern California Information Sciences Institute Marina del Rey, California 90292 {sravi,knight}@isi.edu Abstract We introduce a novel Bayesian approach for deciphering complex substitution ... Meeting of the Association for Computational Linguistics, pages 239–247, Portland, Oregon, June 19-24, 2011. c 2011 Association for Computational Linguistics Bayesian Infe...

Ngày tải lên: 07/03/2014, 22:20

... extensions for more complex situations. For example, longer doc- uments might benefit from an analysis on the para- graph level as well as the sentence and document levels. One possible model for this ... parameters rel- ative to incorrect document labeling decisions. To combat this, k was divided by the number of doc- ument labels, to get a new value k  . For each doc- ument la...

Ngày tải lên: 08/03/2014, 02:21

... URLs, RT for re-tweet, @ for user mentions, # for hashtags, and repetitions. It is necessary to preprocess and normalize the text. As standard in NLP practices, the text is tokenized for later ... and tweet volume within each time period for each candidate. For volume, the system outputs the number of tweets every minute for each candidate. For sentiment, the system out...

Ngày tải lên: 16/03/2014, 20:20