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Semantic role labeling using libSVM

Semantic role labeling using libSVM

引用

9th Conference on Computational Natural language Learning, CoNLL 2005

作者： Ozgencil, Necati Ercan McCracken, Nancy Center for Natural Language Processing School of Engineering and Computer Science Syracuse University United States Center for Natural Language Processing School of Information Studies Syracuse University United States

We describe a system for the CoNLL- 2005 shared task of Semantic Role Labeling. The system implements a two-layer architecture to first identify the arguments and then to label them for each predicate. The components are implemented as SVM classifiers using libSVM. Features were adapted and tuned for the system, including a reduced set for the identifier classifier. Experiments were conducted to find kernel parameters for the Radial Basis Function (RBF) kernel. An algorithm was defined to combine the results of the argument labeling classifier according to the constraints of the argument labeling problem. © 2005 Association for Computational Linguistic.

关键词： Radial basis function networks

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Research on automatic acquisition of translation template based on error-driven learning method

Research on automatic acquisition of translation template ba...

引用

International Conference on Machine Learning and Cybernetics, ICMLC 2005

作者： Zhang, Chun-Xiang Li, Sheng Zhao, Tie-Jun Cao, Hai-Long MOE-MS Key Laboratory of Natural Language Processing and Speech School of Computer Science and Technology Harbin Institute of Technology 150001 China School of Computer Science and Technology Harbin Institute of Technology 150001 China

ISBN: (纸本)078039092X

Automatic acquisition of translation templates is important for MT system to improve its translation quality and its ability of adaptation to new domain. In this paper, translation equivalences are obtained from translation corresponding trees of bilingual sentence pairs. Error-driven learning method is employed to acquire templates from extracted equivalences. At the same time, optimization method based on automatic translation evaluation is used to clean these templates. Then they are applied to a transfer-based MT system, and "863" dialog corpus in 2003 is used for open test. Experimental results show that the performance of new acquired templates exceeds that of original ones. Combination of new acquired templates and original ones makes 5-gram Nist assessment score of open test corpus improve by 8.11%. ©2005 IEEE.

关键词： Learning systems

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Speaker verification using Gaussian Mixture Models within changing real car environments

Speaker verification using Gaussian Mixture Models within ch...

引用

9th European Conference on speech Communication and Technology

作者： Zhang, Xianxian Hansen, John H. L. Angkititrakul, Pongtep Takeda, Kazuya Robust Speech Processing Group Center for Spoken Language Research University of Colorado Boulder United States Graduate School of Information Science Nagoya University Nagoya Japan

Gaussian Mixture Model (GMM) based speaker verification has been widely used recently. However, little research has been performed using GMMs for actual in-vehicle speaker verification. In this paper, we propose to integrate speaker verification and localization techniques for an in-vehicle speech dialog system to locate the desired speaker. The proposed solution is able to locate both desired and undesired speakers who are talking from the same position. This problem cannot be addressed by a simply speaker localization technique only. We demonstrate that using speech data collected in real car environments, the Equal Error rate (EER) performance approaches 0 using gender dependent data, and 2.35% and 13.34% using randomly selected data under idle and city noise environments, respectively.

关键词： speech recognition

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Machine learning for automatic acquisition of Chinese linguistic ontology knowledge

Machine learning for automatic acquisition of Chinese lingui...

引用

International Conference on Machine Learning and Cybernetics, ICMLC 2005

作者： Zheng, De-Quan Zhao, Tie-Jun Yu, Feng Sheng-Li School of Computer Science and Engineering Harbin University of Commerce Harbin 150076 China MOE-MS Key Laboratory of Natural Language Processing and Speech Harbin Institute of Technology Harbin 150001 China

ISBN: (纸本)078039092X

Due to the complexity and flexibility of natural language, automatic linguistic knowledge acquisition and its application research becomes difficult. In this paper, we present a machine learning method to automatically acquire Chinese linguistic ontology knowledge from typical corpus. This study, first, defined the description frame of Chinese linguistic ontology knowledge, and then, automatically acquired the usage of a Chinese word with its co-occurrence of context in using semantic, pragmatics, syntactic, etc from the corpus, final, the above information and their representation will acted as Chinese linguistic ontology knowledge bank. We completed two groups of experiments, i.e. documents similarity computing, text reordering for information retrieval. Compared with previous works, the proposed method solves the inferior Precision of nature language processing. ©2005 IEEE.

关键词： Learning systems

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AUDITORY-VISUAL PERCEPTION OF SYLLABIC TONES IN THAI

AUDITORY-VISUAL PERCEPTION OF SYLLABIC TONES IN THAI

引用

2005 International Conference on Auditory-Visual speech processing, AVSP 2005

作者： Mixdorff, Hansjörg Charnvivit, Patavee Burnham, Denis Faculty of Computer Science and Media TFH Berlin University of Applied Sciences Germany Centre for Research in Speech and Language Processing Chulalongkorn University Bangkok Thailand MARCS Auditory Laboratories University of Western Sydney Australia

This paper presents results concerning the use of visual cues in the perception of Thai tones. The lower part of a female speaker's face was recorded on digital video as she uttered 24 sets of syllabic tokens covering the five different tones of Thai. A perception study was conducted in which audio sound track alone;as well as audio plus video were presented to native Thai speakers who were required to decide which tone they perceived. Audio was presented in various conditions: clear, pink-noise masked at different SNR levels, and devoiced conditions using LPC resynthesis. Some subjects were presented with a video only, silent condition. In the devoiced and the clear audio conditions, there was little augmentation due to the addition of video. However, the addition of visual information significantly improved perception in the pink-noise masked condition, and the effect increased with decreasing SNR. Results on video only are close to chance suggesting that the improvement in noise-masked conditions is not due to additional information in the video per se, but rather to an effect of early integration of acoustic and visual cues facilitating auditory-visual speech perception. © AVSP 2005. All rights reserved.

关键词： computer graphics

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Machine translation based on constraint-based synchronous grammar

引用

2nd International Joint Conference on Natural language processing, IJCNLP 2005

作者： Wong, Fai Hu, Dong-Cheng Mao, Yu-Hang Dong, Ming-Chui Li, Yi-Ping Speech and Language Processing Research Center Department of Automation Tsinghua University 100084 Beijing China Faculty of Science and Technology University of Macao Av. Padre Tomas Pereira S.J. Taipa China

ISBN: (纸本)3540291725

This paper proposes a variation of synchronous grammar based on the formalism of context-free grammar by generalizing the first component of productions that models the source text, named Constraint-based Synchronous Grammar (CSG). Unlike other synchronous grammars, CSG allows multiple target productions to be associated to a single source production rule, which can be used to guide a parser to infer different possible translational equivalences for a recognized input string according to the feature constraints of symbols in the pattern. Furthermore, CSG is augmented with independent rewriting that allows expressing discontinuous constituents in the inference rules. It turns out that such grammar is more expressive to model the translational equivalences of parallel texts for machine translation, and in this paper, we propose the use of CSG as a basis for building a machine translation (MT) system for Portuguese to Chinese translation. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Context free grammars

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On some optimization heuristics for lesk-like WSD algorithms

On some optimization heuristics for lesk-like WSD algorithms

引用

10th International Conference on Applications of Natural language to Information Systems, NLDB 2005: Natural language processing and Information Systems

作者： Gelbukh, Alexander Sidorov, Grigori Han, Sang-Yong Natural Language and Text Processing Laboratory Center for Computing Research National Polytechnic Institute 07738 Mexico Department of Computer Science and Engineering Chung-Ang University 221 Huksuk-Dong DongJak-Ku Seoul 156-756 Korea Republic of

For most English words, dictionaries give various senses: e.g., "bank" can stand for a financial institution, shore, set, etc. Automatic selection of the sense intended in a given text has crucial importance in many applications of text processing, such as information retrieval or machine translation: e.g., "(my account in the) bank" is to be translated into Spanish as "(mi cuenta en et) banco" whereas "(on the) bank (of the lake)" as "(en la) orilla (del logo)." To choose the optimal combination of the intended senses of all words, Lesk suggested to consider the global coherence of the text, i.e., which we mean the average relatedness between the chosen senses for all words in the text. Due to high dimensionality of the search space, heuristics are to be used to find a near-optimal configuration. In this paper, we discuss several such heuristics that differ in terms of complexity and quality of the results. In particular, we introduce a dimensionality reduction algorithm that reduces the complexity of computationally expensive approaches such as genetic algorithms. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Natural language processing systems

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Research on automatic acquisition of translation template based on error-driven learning method

Research on automatic acquisition of translation template ba...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Chun-Xiang Zhang Sheng Li Tie-Jun Zhao Hai-Long Cao MOE-MS Key Laboratory of Natural Language Processing and Speech Doctor in School of Computer Science and Technology Harbin Institute of Technology China School of Computer Science and Technology Harbin Institute of Technology China

关键词： Learning systems Natural languages NIST computer errors computer science Optimization methods System testing Laboratories Natural language processing speech processing

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Machine learning for automatic acquisition of Chinese linguistic ontology knowledge

Machine learning for automatic acquisition of Chinese lingui...

引用

International Conference on Machine Learning and Cybernetics (ICMLC)

作者： De-Quan Zheng Tie-Jun Zhao Feng Yu Sheng-Li MOE-MS Key Laboratory of Natural Language Processing and Speech Harbin Institute of Technology Harbin China School of Computer Science and Engineering Harbin University of Commerce Harbin China

Due to the complexity and flexibility of natural language, automatic linguistic knowledge acquisition and its application research becomes difficult. In this paper, we present a machine learning method to automatically acquire Chinese linguistic ontology knowledge from typical corpus. This study, first, defined the description frame of Chinese linguistic ontology knowledge, and then, automatically acquired the usage of a Chinese word with its co-occurrence of context in using semantic, pragmatics, syntactic, etc from the corpus, final, the above information and their representation act as Chinese linguistic ontology knowledge bank. We completed two groups of experiments, i.e. documents similarity computing, text reordering for information retrieval. Compared with previous works, the proposed method solves the inferior precision of nature language processing.

关键词： Machine learning Ontologies Natural languages Natural language processing Knowledge acquisition Tagging Learning systems Information retrieval computer science Knowledge engineering

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Annealing techniques for unsupervised statistical language learning 42

Annealing techniques for unsupervised statistical language l...

引用

42nd Annual Meeting of the Association for Computational Linguistics, ACL 2004

作者： Smith, Noah A. Eisner, Jason Department of Computer Science Center for Language and Speech Processing Johns Hopkins University BaltimoreMD21218 United States

Exploiting unannotated natural language data is hard largely because unsupervised parameter estimation is hard. We describe deterministic annealing (Rose et al., 1990) as an appealing alternative to the Expectation-Maximization algorithm (Dempster et al., 1977). Seeking to avoid search error, DA begins by globally maximizing an easy concave function and maintains a local maximum as it gradually morphs the function into the desired non-concave likelihood function. Applying DA to parsing and tagging models is shown to be straightforward;significant improvements over EM are shown on a part-of-speech tagging task. We describe a variant, skewed DA, which can incorporate a good initializer when it is available, and show significant improvements over EM on a grammar induction task. © 2021 Proceedings of the Annual Meeting of the Association for Computational Linguistics. All Rights Reserved.

关键词： Maximum principle

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