Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)最新文献_第9页

A method for generating document summary using field association knowledge and subjectively information 一种利用领域关联知识和主观信息生成文档摘要的方法

Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010) Pub Date : 2010-09-30 DOI: 10.1109/NLPKE.2010.5587853

Abdunabi Ubul, E. Atlam, K. Morita, M. Fuketa, J. Aoe

引用次数: 1

Multi-Document summarization based on improved features and clustering 基于改进特征和聚类的多文档摘要

Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010) Pub Date : 2010-09-30 DOI: 10.1109/NLPKE.2010.5587834

Ying Xiong, Hongyan Liu, Lei Li

引用次数: 5

Designing effective web mining-based techniques for OOV translation 设计有效的基于web挖掘的面向对象语言翻译技术

Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010) Pub Date : 2010-09-30 DOI: 10.1109/NLPKE.2010.5587807

Haitao Yu, F. Ren, Degen Huang, Lishuang Li

引用次数: 1

Realization of a high performance bilingual OCR system for Thai-English printed documents 高性能泰英双语OCR系统的实现

Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010) Pub Date : 2010-09-30 DOI: 10.1109/NLPKE.2010.5587781

S. Tangwongsan, Buntida Suvacharakulton

{"title":"Realization of a high performance bilingual OCR system for Thai-English printed documents","authors":"S. Tangwongsan, Buntida Suvacharakulton","doi":"10.1109/NLPKE.2010.5587781","DOIUrl":"https://doi.org/10.1109/NLPKE.2010.5587781","url":null,"abstract":"This paper presents a high performance bilingual OCR system for printed Thai and English text. With the complex nature of both Thai and English languages, the first stage is to identify languages within different zones by using geometric properties for differentiation. The second stage is the process of character recognition, in which the technique developed includes a feature extractor and a classifier. In the feature extraction, the thinned character image is analyzed and categorized into groups. Next, the classifier will take in two steps of recognition: the coarse level, followed by the fine level with a guide of decision trees. As to obtain an even better result, the final stage attempts to make use of dictionary look-up as to check for accuracy improvement in an overall performance. For verification, the system is tested by a series of experiments with printed documents in 141 pages and over 280,000 characters, the result shows that the system could obtain an accuracy of 100% in Thai monolingual, 98.18% in English monolingual, and 99.85% in bilingual documents on the average. In the final stage with a dictionary look-up, the system could yield a better accuracy of improvement up to 99.98% in bilingual documents as expected.","PeriodicalId":259975,"journal":{"name":"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121132894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Automatic filtration of multiword units 自动过滤多字单位

Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010) Pub Date : 2010-09-30 DOI: 10.1109/NLPKE.2010.5587783

Y. Liu, Zheng Tie

引用次数: 0

Document expansion using relevant web documents for spoken document retrieval 文档扩展使用相关的网络文档为口语文档检索

Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010) Pub Date : 2010-09-30 DOI: 10.1109/NLPKE.2010.5587854

Ryo Masumura, A. Ito, Yu Uno, Masashi Ito, S. Makino

{"title":"Document expansion using relevant web documents for spoken document retrieval","authors":"Ryo Masumura, A. Ito, Yu Uno, Masashi Ito, S. Makino","doi":"10.1109/NLPKE.2010.5587854","DOIUrl":"https://doi.org/10.1109/NLPKE.2010.5587854","url":null,"abstract":"Recently, automatic indexing of a spoken document using a speech recognizer attracts attention. However, index generation from an automatic transcription has many problems because the automatic transcription has many recognition errors and Out-Of-Vocabulary words. To solve this problem, we propose a document expansion method using Web documents. To obtain important keywords which included in the spoken document but lost by recognition errors, we acquire Web documents relevant to the spoken document. Then, an index of the spoken document is generated by combining an index that generated from the automatic transcription and the Web documents. We propose a method for retrieval of relevant documents, and the experimental result shows that the retrieved Web document contained many OOV words. Next, we propose a method for combining the recognized index and the Web index. The experimental result shows that the index of the spoken document generated by the document expansion was closer to an index from the manual transcription than the index generated by the conventional method. Finally, we conducted a spoken document retrieval experiment, and the document-expansion-based index gave better retrieval precision than the conventional indexing method.","PeriodicalId":259975,"journal":{"name":"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)","volume":"27 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121007971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Needs and challenges of care robots in nursing care setting: A literature review 护理机器人在护理环境中的需求与挑战:文献综述

Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010) Pub Date : 2010-09-30 DOI: 10.1109/NLPKE.2010.5587815

Yuko Nagai, T. Tanioka, Shoko Fuji, Yuko Yasuhara, Sakiko Sakamaki, Narimi Taoka, R. Locsin, Fuji Ren, Kazuyuki Matsumoto

引用次数: 3

A new cascade algorithm based on CRFs for recognizing Chinese verb-object collocation 基于CRFs的汉语动宾搭配级联识别新算法

Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010) Pub Date : 2010-09-30 DOI: 10.1109/NLPKE.2010.5587828

Guiping Zhang, Zhichao Liu, Qiaoli Zhou, Dongfeng Cai, Jiao Cheng

引用次数: 0

Negation disambiguation using the maximum entropy model 最大熵模型的否定消歧

Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010) Pub Date : 2010-09-30 DOI: 10.1109/NLPKE.2010.5587857

Chunliang Zhang, Xiaoxu Fei, Jingbo Zhu

引用次数: 0

Distributed training for Conditional Random Fields 条件随机场的分布式训练

Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010) Pub Date : 2010-09-30 DOI: 10.1109/NLPKE.2010.5587803

Xiaojun Lin, Liang Zhao, Dianhai Yu, Xihong Wu

引用次数: 5