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

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Conversion between dependency structures and phrase structures using a head finder algorithm 使用头部查找算法在依赖结构和短语结构之间进行转换
Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010) Pub Date : 2010-09-30 DOI: 10.1109/NLPKE.2010.5587792
Xinxin Li, Xuan Wang, Lin Yao
{"title":"Conversion between dependency structures and phrase structures using a head finder algorithm","authors":"Xinxin Li, Xuan Wang, Lin Yao","doi":"10.1109/NLPKE.2010.5587792","DOIUrl":"https://doi.org/10.1109/NLPKE.2010.5587792","url":null,"abstract":"This paper proposes how to convert projective dependency structures into flat phrase structures with language-independent syntactic categories, and use a head finder algorithm to convert these phrase structures back into dependency structures. The head finder algorithm is implemented by a maximum entropy approach with constraint information. The converted phrase structures can be parsed using a hierarchical coarse-to-fine method with latent variables. Experimental results show that the approach finds 98.8% heads of all phrases, and our algorithm achieves state-of-the-art dependency parsing performance in English Treebank.","PeriodicalId":259975,"journal":{"name":"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)","volume":"70 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":"127272336","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: 1
Application of Chinese sentiment categorization to digital products reviews 中文情感分类在数字产品评论中的应用
Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010) Pub Date : 2010-09-30 DOI: 10.1109/NLPKE.2010.5587788
Hongying Zan, Kuizhong Kou, Jiale Tian
{"title":"Application of Chinese sentiment categorization to digital products reviews","authors":"Hongying Zan, Kuizhong Kou, Jiale Tian","doi":"10.1109/NLPKE.2010.5587788","DOIUrl":"https://doi.org/10.1109/NLPKE.2010.5587788","url":null,"abstract":"Sentiment categorization have been widely explored in many fields, such as government policy, information monitoring, product tracking, etc. This paper adopts k-NN, Naive Bayes and SVM classifiers to categorize sentiments contained in on-line Chinese reviews on digital products. Our experimental results show that combining the words and phrases with sentiment orientation as hybrid features, SWM classifier achieves an accuracy of 96,47%, which is words of all parts of speech as features.","PeriodicalId":259975,"journal":{"name":"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)","volume":"48 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":"127481383","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: 1
Recognizing sentiment polarity in Chinese reviews based on topic sentiment sentences 基于主题情感句的汉语评论情感极性识别
Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010) Pub Date : 2010-09-30 DOI: 10.1109/NLPKE.2010.5587863
Jiang Yang, Min Hou, Ning Wang
{"title":"Recognizing sentiment polarity in Chinese reviews based on topic sentiment sentences","authors":"Jiang Yang, Min Hou, Ning Wang","doi":"10.1109/NLPKE.2010.5587863","DOIUrl":"https://doi.org/10.1109/NLPKE.2010.5587863","url":null,"abstract":"We present an approach to recognizing sentiment polarity in Chinese reviews based on topic sentiment sentences. Considering the features of Chinese reviews, we firstly identify the topic of a review using an n-gram matching approach. To extract candidate topic sentiment sentences, we compute the semantic similarity between a given sentence and the ascertained topic and meanwhile determine whether the sentence is subjective. A certain number of these sentences are then selected as representatives according to their semantic similarity value with relation to the topic. The average value of the representative topic sentiment sentences is calculated and taken as the sentiment polarity of a review. Experiment results show that the proposed method is feasible and can achieve relatively high precision.","PeriodicalId":259975,"journal":{"name":"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)","volume":"25 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":"126734880","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: 7
A new algorithm of fuzzy support vector machine based on niche 基于小生境的模糊支持向量机新算法
Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010) Pub Date : 2010-09-30 DOI: 10.1109/NLPKE.2010.5587796
Ying Huang, Wei Li
{"title":"A new algorithm of fuzzy support vector machine based on niche","authors":"Ying Huang, Wei Li","doi":"10.1109/NLPKE.2010.5587796","DOIUrl":"https://doi.org/10.1109/NLPKE.2010.5587796","url":null,"abstract":"A new algorithm of fuzzy support vector machine based on niche is presented in this paper. In this algorithm, through comparing samples niche with class niche, the method of simply using Euclidean distance to measure the relationship of samples and class in the traditional support vector machine is changed by using the minimum radius in class niche, and the disadvantages of traditional support vector machine, which are sensitive to noise and outliers, and poor performance of differentiation of valid samples are overcome. Experimental data show that compared with the traditional support vector machine which only uses the distance between the sample and the center of class, this new algorithm can improve the convergence speed, and thus greatly enhance the discrimination between valid samples and noise samples.","PeriodicalId":259975,"journal":{"name":"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)","volume":"141 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":"128718342","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: 0
Term recognition using Conditional Random fields 使用条件随机场的术语识别
Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010) Pub Date : 2010-09-30 DOI: 10.1109/NLPKE.2010.5587809
Xing Zhang, Yan Song, A. Fang
{"title":"Term recognition using Conditional Random fields","authors":"Xing Zhang, Yan Song, A. Fang","doi":"10.1109/NLPKE.2010.5587809","DOIUrl":"https://doi.org/10.1109/NLPKE.2010.5587809","url":null,"abstract":"A machine learning framework, Conditional Random fields (CRF), is constructed in this study, which exploits syntactic information to recognize biomedical terms. Features used in this CRF framework focus on syntactic information in different levels, including parent nodes, syntactic functions, syntactic paths and term ratios. A series of experiments have been done to study the effects of training sizes, general term recognition and novel term recognition. The experiment results show that features as syntactic paths and term ratios can achieve good precision of term recognition, including both general terms and novel terms. However, the recall of novel term recognition is still unsatisfactory, which calls for more effective features to be used. All in all, as this research studies in depth the uses of some unique syntactic features, it is innovative in respect of constructing machine learning based term recognition system.","PeriodicalId":259975,"journal":{"name":"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)","volume":"11 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":"116763361","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: 14
Translation evaluation without reference based on user behavior model 基于用户行为模型的无参考翻译评价
Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010) Pub Date : 2010-08-01 DOI: 10.1109/NLPKE.2010.5587818
Guiping Zhang, Ying Sun, Baosheng Yin, Na Ye
{"title":"Translation evaluation without reference based on user behavior model","authors":"Guiping Zhang, Ying Sun, Baosheng Yin, Na Ye","doi":"10.1109/NLPKE.2010.5587818","DOIUrl":"https://doi.org/10.1109/NLPKE.2010.5587818","url":null,"abstract":"How to evaluate the translation of a machine translation system is a very important research topic. The traditional method of translation evaluation without reference is used to evaluate the translation from the linguistic characteristics mostly. In this paper, the user cost of post-editing operation is considered, and a new method of evaluation translation based on user behavior model is proposed. First of all, track and record the process from the post-editing of machine translation to the forming of the final translation, and extract the decision knowledge of a user behavior; then use the knowledge as an indicator of translation evaluation, and evaluate the machine translation by combining with a language model. Experimental results show that in the absence of reference, the present method is much better than the method of using linguistic characteristics only, and the present method is close to BLEU method with one reference in Spearmen's rank order correlation coefficient with human evaluation.","PeriodicalId":259975,"journal":{"name":"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134243175","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: 1
Towards grammar checker development for Persian language 对波斯语语法检查器发展的探讨
Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010) Pub Date : 2010-08-01 DOI: 10.1109/NLPKE.2010.5587839
N. Ehsan, Heshaam Faili
{"title":"Towards grammar checker development for Persian language","authors":"N. Ehsan, Heshaam Faili","doi":"10.1109/NLPKE.2010.5587839","DOIUrl":"https://doi.org/10.1109/NLPKE.2010.5587839","url":null,"abstract":"With improvements in industry and information technology, large volumes of electronic texts such as newspapers, emails, weblogs, books and thesis are produced daily. Producing electrical documents has considerable benefits such as easy organizing and data management. Therefore, existence of automatic systems such as spell and grammar checker/corrector can help in reducing costs and increasing the electronic texts and it will improve the quality of electronic texts. You can input your text and the computer program will point out to you the spelling errors. It may also help with your grammar. Grammatical errors are described as wrong relation between words like subject-verb disagreement or wrong sequence of words like using plural noun where a single noun is needed. Grammar checking phase starts after spell checking is finished. This paper briefly describes the concepts and definition of grammar checkers in general followed by developing the first Persian (Farsi) grammar checker leading to an overview of the error types of Persian language. The proposed system detects and corrects about 20 frequent Persian grammar errors and tested on a sample dataset, retrieved about 70% and 83% accuracy respect to precision and recall metrics.","PeriodicalId":259975,"journal":{"name":"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134301675","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: 17
Emotion analysis in blogs at sentence level using a Chinese emotion corpus 基于中文情感语料库的博客句子情感分析
Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010) Pub Date : 2010-08-01 DOI: 10.1109/NLPKE.2010.5587790
Changqin Quan, Tingting He, F. Ren
{"title":"Emotion analysis in blogs at sentence level using a Chinese emotion corpus","authors":"Changqin Quan, Tingting He, F. Ren","doi":"10.1109/NLPKE.2010.5587790","DOIUrl":"https://doi.org/10.1109/NLPKE.2010.5587790","url":null,"abstract":"Previous researches for emotional analysis of texts have included a variety of text contents: weblogs, stories, news, text messages, spoken dialogs, and so on. Compared with other text styles, the main characteristics of emotional expressions in blogs are as follows: (1) Highly personal, subjective writing style; (2) New words and expressions are constantly emerging; (3) The integrity and continuity of using language. Using a Chinese emotion corpus (Ren-CECps), in this study, we make an analysis on emotion expressions in blogs at sentence level. Firstly, we separate the sentences into two classes: simple sentences (sentences without negative words, conjunctions, or question mark) and complex sentences (sentences with negative words, conjunctions, or question mark). Then we compare the two classes of sentence on sentence emotion recognition based on emotional words. Furthermore we analysis the following factors for emotion change at sentence level: negative words, conjunctions, punctuation marks, and contextual emotions. At last, we make an hypothesis that the emotional focus of a sentence could be expressed by a certain clause in this sentence, and the experimental results have proved this hypothesis, which showed that selecting the clauses containing emotional focus of a sentence correctly would be helpful to recognize sentence emotions.","PeriodicalId":259975,"journal":{"name":"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)","volume":"177 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124393457","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: 7
Tagging online service reviews 标记在线服务评论
Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010) Pub Date : 2010-08-01 DOI: 10.1109/NLPKE.2010.5587816
Suke Li, Jinmei Hao, Zhong Chen
{"title":"Tagging online service reviews","authors":"Suke Li, Jinmei Hao, Zhong Chen","doi":"10.1109/NLPKE.2010.5587816","DOIUrl":"https://doi.org/10.1109/NLPKE.2010.5587816","url":null,"abstract":"This paper proposes a tagging method that can highlight important service aspects for users who browse online service reviews. Experiments on service aspect ranking and review tagging show that the proposed method is effective for finding important aspects and can generate useful and interesting tags for reviews.","PeriodicalId":259975,"journal":{"name":"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124906707","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: 0
Constraint Soup 约束汤
Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010) Pub Date : 2010-08-01 DOI: 10.1109/NLPKE.2010.5587851
R. Niemeijer, B. Vries, J. Beetz
{"title":"Constraint Soup","authors":"R. Niemeijer, B. Vries, J. Beetz","doi":"10.1109/NLPKE.2010.5587851","DOIUrl":"https://doi.org/10.1109/NLPKE.2010.5587851","url":null,"abstract":"To facilitate mass customization in the building industry, an automated method is needed to check the validity of user-created designs. This check requires that numerous complex building codes and regulations, as well as architects' demands are formalized and captured by non-programming domain experts. This can be done via a natural language interface, as it reduces the required amount of training of users. In this paper we describe an algorithm for interpreting architectural constraints in such a system.","PeriodicalId":259975,"journal":{"name":"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132521102","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: 1
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