applying machine learning to chinese

Báo cáo khoa học: "Paraphrase Recognition Using Machine Learning to Combine Similarity Measures" ppt

Báo cáo khoa học: "Paraphrase Recognition Using Machine Learning to Combine Similarity Measures" ppt

Ngày tải lên : 08/03/2014, 01:20
... v 1 , y i  , . . . ,  v n , y n } are given as input to the ME classifier, which learns how to classify new vectors v, corresponding to unseen pairs of sen- tences S 1 , S 2 . We use nine ... substitution of a single token. Moreover, we use high-level 3 We use Stanford University’s tokenizer and POS-tagger, and Porter’s stemmer. 4 Soundex is an algorithm intended to map English names to alphanumeric ... can be used to recognize paraphrases. They all employ string similarity measures ap- plied to shallow abstractions of the input sentences, and a Maximum Entropy clas- sifier to learn how to combine...
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Báo cáo khoa học: "Using Machine-Learning to Assign Function Labels to Parser Output for Spanish" ppt

Báo cáo khoa học: "Using Machine-Learning to Assign Function Labels to Parser Output for Spanish" ppt

Ngày tải lên : 08/03/2014, 02:21
... attributed to two main factors. Firstly, the mapping from Cast3LB tags to LFG grammat- ical functions is not one -to- one. For example three Cast3LB tags (CC, MOD and ET) are all mapped to LFG ADJUNCT. ... present paper we use a machine- learning ap- proach in order to add Cast3LB function tags to nodes of basic constituent trees output by a prob- abilistic parser trained on Cast3LB. To our knowl- edge, ... of au- tomatically acquiring LFG resources for Spanish from Cast3LB. Machine- learning- based Cast3LB tag assignment yields statistically-significantly improved LFG f-structures compared to parser- based...
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Báo cáo khoa học: "Using Machine Learning to Explore Human Multimodal Clarification Strategies" ppt

Báo cáo khoa học: "Using Machine Learning to Explore Human Multimodal Clarification Strategies" ppt

Ngày tải lên : 23/03/2014, 18:20
... to the user model), we would need to explore many more strategies through interactions with users to find an optimal one. One way to reduce costs for build- ing such an optimised strategy is to ... lead to repetitive action, i.e. if a screen output was once shown to this user, and the user has previously used or referred to the screen, the screen will be used over and over again. For learning ... generation and input leads to more robust interaction (Oviatt, 2002) and re- duced cognitive load (Oviatt et al., 2004). In this paper we investigate the use of machine learning (ML) to explore human multimodal...
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Báo cáo khoa học: "Using Machine Learning to Maintain Rule-based Named-Entity Recognition and Classification Systems" pdf

Báo cáo khoa học: "Using Machine Learning to Maintain Rule-based Named-Entity Recognition and Classification Systems" pdf

Ngày tải lên : 23/03/2014, 19:20
... Us- ing Machine Learning Machine learning has been used successfully to control a rule-based system that performs a dif- ferent task, namely document filtering (Wolinski et al., 2000). The learning ... the use of learning for NERC. In- stead of using ML to construct a NERC system that will be used autonomously, the system con- structed by ML, according to our approach is used to monitor the performance ... Using Learning- based Filters to Detect Rule-based Filter- ing Obsolescence. In Recherche d’ Information Assistée par Ordinateur, RIAO, Paris, France, pp.1208-1220. Using Machine Learning to Maintain...
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  Trí tuệ nhân tạo  - Introduction to Machine Learning

Trí tuệ nhân tạo - Introduction to Machine Learning

Ngày tải lên : 14/11/2012, 13:46
... redesign 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 ... variables Introduction to Machine Learning c 1996 Nils J. Nilsson. All rights reserved. INTRODUCTION TO MACHINE LEARNING AN EARLY DRAFT OF A PROPOSED TEXTBOOK Nils J. Nilsson Rob otics Lab oratory Department ... Bibliographical and Historical Remarks Tobeadded. Every chapter will contain a brief survey of the history of the material covered in that chapter. Introduction to Machine Learning c 1996 Nils...
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Tài liệu Báo cáo khoa học: "Machine Learning for Coreference Resolution: From Local Classification to Global Ranking" ppt

Tài liệu Báo cáo khoa học: "Machine Learning for Coreference Resolution: From Local Classification to Global Ranking" ppt

Ngày tải lên : 20/02/2014, 15:20
... 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. Computational ... and error-driven pruning for machine learning of coreference rules. In Proc. of EMNLP, pages 55–62. V. Ng and C. Cardie. 2002b. Improving machine learn- ing approaches to coreference resolution. ... generate good can- didate partitions. Given that machine learning ap- proaches to the problem have been promising, our choices will be guided by previous learning- based coreference systems, as described...
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Báo cáo khoa học: "Applying Explanation-based Learning to Control and Speeding-up Natural Language Generation" potx

Báo cáo khoa học: "Applying Explanation-based Learning to Control and Speeding-up Natural Language Generation" potx

Ngày tải lên : 08/03/2014, 21:20
... now be used to generate, e.g., the string "Kim gives a table to Peter", as well as the string "Noam donates a book to Peter". However, it will not be able to generate a ... the adaption of a NLG system to a particular use of a lan- guage. 1 Introduction In recent years, a Machine Learning tech- nique known as Explanation-based Learning EBL (Mitchell, Keller, ... used for parsing to automatically spe- cialize a given source grammar to a specific domain. In that case, EBL is used as a method for adapting a general grammar and/or parser to the sub-language...
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Learning to read a non alphabetic script -  chinese

Learning to read a non alphabetic script - chinese

Ngày tải lên : 16/03/2014, 10:02
... analyze words into their components (letters or radicals) Learning to Read Chinese (Van and Zian, 1962) Starts with learning to read characters Three stages Relate sound/meaning to global shape ... predictor of later English reading skills, but not in Chinese Knowledge of general information and verbal memory is a good predictor of ability to read Chinese and Japanese Differences appear to ... variety Chinese words are often two or more morphemes, with no word boundaries indicated Chinese uses many more graphic units Learnability of English and Chinese Is it harder to learn Chinese...
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Báo cáo khoa học: "Learning to Transform and Select Elementary Trees for Improved Syntax-based Machine Translations" ppt

Báo cáo khoa học: "Learning to Transform and Select Elementary Trees for Improved Syntax-based Machine Translations" ppt

Ngày tải lên : 17/03/2014, 00:20
... (R 2 X v Y )) Table 5: Operators for manipulating the trees possible due to the many -to- many alignment, insertions and deletions of terminals. So, we introduce the oper- ators to remove the interior ... rule: X 1 X 2 → X 1 X 2 . This operator is neces- sary, we need a scheme to automatically back off to the meaningful glue or Hiero-alike rules, which may lead to a cheaper derivation path for constructing ... chart decoder in C++. It generalizes over the dotted-product operator in Earley style parser, to allow us to leverage many opera- tors ¯ t ∈ T as above-mentioned, such as binarizations, at different...
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Báo cáo khoa học: "Using Emoticons to reduce Dependency in Machine Learning Techniques for Sentiment Classification" pot

Báo cáo khoa học: "Using Emoticons to reduce Dependency in Machine Learning Techniques for Sentiment Classification" pot

Ngày tải lên : 17/03/2014, 06:20
... seeks to identify a piece of text according to its author’s general feeling toward their subject, be it positive or negative. Traditional machine learning techniques have been applied to this ... by inde- pendent trained annotators), each containing 100 stories. We trained a model on a dataset relating to one topic and tested that model using the other top- ics. Figure 1 shows the results ... train- ing process. Other extensions of this work are to collect more text marked-up with emoticons, and to experiment with techniques to automatically remove noisy examples from the training data. Acknowledgements This...
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Báo cáo khoa học: "A Machine Learning Approach to German Pronoun Resolution" docx

Báo cáo khoa học: "A Machine Learning Approach to German Pronoun Resolution" docx

Ngày tải lên : 17/03/2014, 06:20
... for German, we were able to obtain the system submitted by (Curran and Clark, 2003) to the 2003 CoNLL competition. In order to run the recogniser, the data needs to be tokenised, tagged and lemmatised, ... results support the intuition that ensemble methods are superior to single clas- sifiers. To put the performance of our system into per- spective, we established a baseline and an upper bound for ... for pronoun resolution is 81.5. However, (Morton, 2000) only attempts to resolve singular pronouns, and there is no mention of what percentage of total pronouns are covered by this restriction. (Soon...
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Báo cáo khoa học: " Improving Machine Learning Approaches to Coreference Resolution" potx

Báo cáo khoa học: " Improving Machine Learning Approaches to Coreference Resolution" potx

Ngày tải lên : 17/03/2014, 08:20
... types of extensions to the Soon et al. corpus-based approach. First, we propose and evaluate three extra-linguistic modifications to the machine learning framework, which together pro- vide substantial ... prohib- ited by the Soon system. 5 Conclusions We investigate two methods to improve existing machine learning approaches to the problem of 8 Soon et al. (2001) present only the tree learned for ... RIPPER parameters are set totheirdefaultvalue except that classification rules are induced for both the positive and negative instances. 3 Modifications to the Machine Learning Framework This section...
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Báo cáo khoa học: "A Machine Learning Approach to Pronoun Resolution in Spoken Dialogue" docx

Báo cáo khoa học: "A Machine Learning Approach to Pronoun Resolution in Spoken Dialogue" docx

Ngày tải lên : 23/03/2014, 19:20
... assumes the input to her algorithm to be only referential pronouns. This simplifies the task considerably. 7 Conclusions and Future Work We presented a machine learning approach to pro- noun resolution ... (A3) has to have access not only to (B2) but also to (A1). 3 Data 3.1 Corpus Our work is based on twenty randomly chosen Switchboard dialogues. Taken together, the dia- logues contain 30810 tokens ... Applications, College Park, Md., 1999, pp. 47–52. Soon, Wee Meng, Hwee Tou Ng & Daniel Chung Yong Lim (2001). A machine learning approach to coreference resolu- tion of noun phrases. Computational Linguistics,...
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Báo cáo khoa học: "A machine-learning approach to the identification of WH gaps" doc

Báo cáo khoa học: "A machine-learning approach to the identification of WH gaps" doc

Ngày tải lên : 24/03/2014, 03:20
... in- terpretation of the sentence, and could contribute to a natural language understanding or machine translation application. Since WH dependencies also tend to distort the surface subcategorization properties ... A machine- learning approach to the identification of WH gaps Derrick Higgins Educational Testing Service dchiggin@alumni.uchicago.edu Abstract In ... identifying gaps could also aid in automatic lexical acquisition techniques. Many other applications are imaginable as well, using the gap location to inform intonation, semantics, collocation frequency,...
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