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Emotion Sharing Model based on Life-Log Comparison 基于生活日志比较的情感共享模型
Journal of Information Processing Pub Date : 2015-01-01 DOI: 10.11185/IMT.11.79
Rika Mochizuki, Tomoki Watanabe
{"title":"Emotion Sharing Model based on Life-Log Comparison","authors":"Rika Mochizuki, Tomoki Watanabe","doi":"10.11185/IMT.11.79","DOIUrl":"https://doi.org/10.11185/IMT.11.79","url":null,"abstract":"","PeriodicalId":16243,"journal":{"name":"Journal of Information Processing","volume":"11 1","pages":"79-92"},"PeriodicalIF":0.0,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"63625775","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
Evaluating Instructions for Gesture Recognition with an Accelerometer 用加速度计评估手势识别的指令
Journal of Information Processing Pub Date : 2015-01-01 DOI: 10.11185/IMT.10.269
Kazuya Murao, T. Terada
{"title":"Evaluating Instructions for Gesture Recognition with an Accelerometer","authors":"Kazuya Murao, T. Terada","doi":"10.11185/IMT.10.269","DOIUrl":"https://doi.org/10.11185/IMT.10.269","url":null,"abstract":"In the area of activity recognition with mobile sensors, a lot of works on context-aware systems using accelerometers have been proposed. Especially, mobile phones or remotes for video games using gesture recognition technologies enable easy and intuitive operations such as scrolling browser and drawing objects. Gesture input has an advantage of rich expressive power over the conventional interfaces, but it is difficult to share the gesture motion with other people through writing or verbally. Assuming that a commercial product using gestures is released, the developers make an instruction manual and tutorial expressing the gestures in text, figures, or videos. Then an end-user reads the instructions, imagines the gesture, then perform it. In this paper, we evaluate how user gestures change according to the types of the instruction. We obtained acceleration data for 10 kinds of gestures instructed through three types of texts, figures, and videos, totalling 44 patterns from 13 test subjects, for a total of 2,630 data samples. From the evaluation, gestures are correctly performed in the order of text→figure→video. Detailed instruction in texts is equivalent to that in figures. However, some words reflecting gestures disordered the users’ gestures since they could call multiple images to user’s mind.","PeriodicalId":16243,"journal":{"name":"Journal of Information Processing","volume":"10 1","pages":"269-280"},"PeriodicalIF":0.0,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"63625599","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
Language-independent Approach to High Quality Dependency Selection from Automatic Parses 从自动解析中实现高质量依赖项选择的语言独立方法
Journal of Information Processing Pub Date : 2014-12-15 DOI: 10.5715/JNLP.21.1163
Gongye Jin, Daisuke Kawahara, S. Kurohashi
{"title":"Language-independent Approach to High Quality Dependency Selection from Automatic Parses","authors":"Gongye Jin, Daisuke Kawahara, S. Kurohashi","doi":"10.5715/JNLP.21.1163","DOIUrl":"https://doi.org/10.5715/JNLP.21.1163","url":null,"abstract":"Many knowledge acquisition tasks are tightly dependent on fundamental analysis technologies, such as part of speech (POS) tagging and parsing. Dependency parsing, in particular, has been widely employed for the acquisition of knowledge related to predicate-argument structures. For such tasks, the dependency parsing performance can determine quality of acquired knowledge, regardless of target languages. There-fore, reducing dependency parsing errors and selecting high quality dependencies is of primary importance. In this study, we present a language-independent approach for automatically selecting high quality dependencies from automatic parses. By con-sidering several aspects that affect the accuracy of dependency parsing, we created a set of features for supervised classification of reliable dependencies. Experimental results on seven languages show that our approach can effectively select high quality dependencies from dependency parses.","PeriodicalId":16243,"journal":{"name":"Journal of Information Processing","volume":"10 1","pages":"113-132"},"PeriodicalIF":0.0,"publicationDate":"2014-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71087536","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
A Generative Dependency N-gram Language Model: Unsupervised Parameter Estimation and Application 生成依赖N-gram语言模型:无监督参数估计及应用
Journal of Information Processing Pub Date : 2014-09-16 DOI: 10.5715/JNLP.21.981
Chenchen Ding, Mikio Yamamoto
{"title":"A Generative Dependency N-gram Language Model: Unsupervised Parameter Estimation and Application","authors":"Chenchen Ding, Mikio Yamamoto","doi":"10.5715/JNLP.21.981","DOIUrl":"https://doi.org/10.5715/JNLP.21.981","url":null,"abstract":"We design a language model based on a generative dependency structure for sentences. The parameter of the model is the probability of a dependency N-gram, which is composed of lexical words with four types of extra tag used to model the dependency relation and valence. We further propose an unsupervised expectation-maximization algorithm for parameter estimation, in which all possible dependency structures of a sentence are considered. As the algorithm is language-independent, it can be used on a raw corpus from any language, without any part-of-speech annotation, tree-bank or trained parser. We conducted experiments using four languages, i.e., English, German, Spanish and Japanese, to illustrate the applicability and the properties of the proposed approach. We further apply the proposed approach to a Chinese microblog data set to extract and investigate Internet-based, non-standard lexical dependency features of user-generated content.","PeriodicalId":16243,"journal":{"name":"Journal of Information Processing","volume":"21 1","pages":"981-1009"},"PeriodicalIF":0.0,"publicationDate":"2014-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71087178","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
Noise-aware Character Alignment for Extracting Transliteration Fragments 基于噪声感知的字符对齐方法提取音译片段
Journal of Information Processing Pub Date : 2014-09-16 DOI: 10.5715/JNLP.21.1107
Katsuhito Sudoh, Shinsuke Mori, M. Nagata
{"title":"Noise-aware Character Alignment for Extracting Transliteration Fragments","authors":"Katsuhito Sudoh, Shinsuke Mori, M. Nagata","doi":"10.5715/JNLP.21.1107","DOIUrl":"https://doi.org/10.5715/JNLP.21.1107","url":null,"abstract":"This paper proposes a novel noise-aware character alignment method for automatically extracting transliteration fragments in phrase pairs that are extracted from parallel corpora. The proposed method extends a many-to-many Bayesian character alignment method by distinguishing transliteration (signal) parts from non-transliteration (noise) parts. The model can be trained efficiently by a state-based blocked Gibbs sampling algorithm with signal and noise states. The proposed method bootstraps statistical machine transliteration using the extracted transliteration fragments to train transliteration models. In experiments using Japanese-English patent data, the proposed method was able to extract transliteration fragments with much less noise than an IBM-model-based baseline, and achieved better transliteration performance than sample-wise extraction in transliteration bootstrapping.","PeriodicalId":16243,"journal":{"name":"Journal of Information Processing","volume":"21 1","pages":"1107-1131"},"PeriodicalIF":0.0,"publicationDate":"2014-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71087400","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
Generalization of Semantic Roles in Automatic Semantic Role Labeling 自动语义角色标注中语义角色的概化
Journal of Information Processing Pub Date : 2014-09-01 DOI: 10.5715/JNLP.21.841
Yuichiroh Matsubayashi, Naoaki Okazaki, Junichi Tsujii
{"title":"Generalization of Semantic Roles in Automatic Semantic Role Labeling","authors":"Yuichiroh Matsubayashi, Naoaki Okazaki, Junichi Tsujii","doi":"10.5715/JNLP.21.841","DOIUrl":"https://doi.org/10.5715/JNLP.21.841","url":null,"abstract":"FrameNet，PropBank といった意味タグ付きコーパスの出現とともに，機械学習の枠組みを利用した自動意味役割付与システムが数多く研究されてきた．しかし，これらのコーパスは個々のフレームに固有の意味役割を定義するため，コーパス中に低頻度，或いは未出現の意味役割が数多く存在し，効率的な学習を妨げている．本論文は，意味役割付与における意味役割の汎化問題を取り上げ，既存の汎化指標と新たに提案する指標を役割の分類精度を通して比較し，それぞれの特徴を探求する．また，複数の汎化指標を同時に利用する分類モデルが自動意味役割付与の精度を向上させることを示す．実験では，FrameNet において全体の精度で 19.16% のエラー削減，F1 マクロ平均で 7.42% の向上を，PropBank において全体の精度で 24.07% のエラー削減，未知動詞に対するテストで 26.39% のエラー削減を達成した．","PeriodicalId":16243,"journal":{"name":"Journal of Information Processing","volume":"21 1","pages":"841-875"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71087497","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: 9
Unlabeled Dependency Parsing Based Pre-reordering for Chinese-to-Japanese SMT 基于无标签依赖解析的中文-日文SMT预排序
Journal of Information Processing Pub Date : 2014-06-16 DOI: 10.11185/IMT.9.272
D. Han, Pascual Martínez-Gómez, Yusuke Miyao, Katsuhito Sudoh, M. Nagata
{"title":"Unlabeled Dependency Parsing Based Pre-reordering for Chinese-to-Japanese SMT","authors":"D. Han, Pascual Martínez-Gómez, Yusuke Miyao, Katsuhito Sudoh, M. Nagata","doi":"10.11185/IMT.9.272","DOIUrl":"https://doi.org/10.11185/IMT.9.272","url":null,"abstract":"In statistical machine translation, Chinese and Japanese is a well-known long-distance language pair that causes difficulties to word alignment techniques. Pre-reordering methods have been proven efficient and effective; however, they need reliable parsers to extract the syntactic structure of the source sentences. On one hand, we propose a framework in which only part-of-speech (POS) tags and unlabeled dependency parse trees are used to minimize the influence of parse errors, and linguistic knowledge on structural difference is encoded in the form of reordering rules. We show significant improvements in translation quality of sentences in the news domain over state-of-the-art reordering methods. On the other hand, we explore the relationship between dependency parsing and our pre-reordering method from two aspects: POS tags and dependencies. We observe the effects of different parse errors on reordering performance by combining empirical and descriptive approaches. In the empirical approach, we quantify the distribution of general parse errors along with reordering quality. In the descriptive approach, we extract seven influential error patterns and examine their correlations with reordering errors.","PeriodicalId":16243,"journal":{"name":"Journal of Information Processing","volume":"9 1","pages":"272-301"},"PeriodicalIF":0.0,"publicationDate":"2014-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"63627239","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
Accumulative Computation on MapReduce MapReduce的累计计算
Journal of Information Processing Pub Date : 2014-01-22 DOI: 10.11185/IMT.9.73
Yu Liu, Kento Emoto, Kiminori Matsuzaki, Zhenjiang Hu
{"title":"Accumulative Computation on MapReduce","authors":"Yu Liu, Kento Emoto, Kiminori Matsuzaki, Zhenjiang Hu","doi":"10.11185/IMT.9.73","DOIUrl":"https://doi.org/10.11185/IMT.9.73","url":null,"abstract":"MapReduce programming model attracts a lot of enthusiasm among both industry and academia, largely because it simplifies the implementations of many data parallel applications. In spite of the simplicity of the program- ming model, there are many applications that are hard to be implemented by MapReduce, due to their innate characters of computational dependency. In this paper we propose a new approach of using the programming pattern accumulate over MapReduce, to handle a large class of problems that cannot be simply divided into independent sub-computations. Using this accumulate pattern, many problems that have computational dependency can be easily expressed, and then the programs will be transformed to MapReduce programs executed on large clusters. Users without much knowledge of MapReduce can also easily write programs in a sequential manner but finally obtain efficient and scalable MapRe- duce programs. We describe the programming interface of our accumulate framework and explain how to transform a user-specified accumulate computation to an efficient MapReduce program. Our experiments and evaluations illustrate the usefulness and efficiency of the framework.","PeriodicalId":16243,"journal":{"name":"Journal of Information Processing","volume":"9 1","pages":"73-82"},"PeriodicalIF":0.0,"publicationDate":"2014-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"63626811","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: 4
A Survey on Large Scale Corpora and Emotion Corpora 大型语料库与情感语料库研究综述
Journal of Information Processing Pub Date : 2014-01-01 DOI: 10.11185/IMT.9.429
M. Ptaszynski, Rafal Rzepka, S. Oyama, M. Kurihara, K. Araki
{"title":"A Survey on Large Scale Corpora and Emotion Corpora","authors":"M. Ptaszynski, Rafal Rzepka, S. Oyama, M. Kurihara, K. Araki","doi":"10.11185/IMT.9.429","DOIUrl":"https://doi.org/10.11185/IMT.9.429","url":null,"abstract":"In this paper we present a survey on natural language corpora, with particular focus on corpora of large scale and those applicable to sentiment analysis. Natural language corpora are crucial for training various Software Engineering applications, from part-of-speech taggers and dependency parsers to dialog systems or sentiment analysis software. We compare several natural language corpora created for different languages, analyze their distinctive features and the amount of additional annotations provided by the developers of those corpora.","PeriodicalId":16243,"journal":{"name":"Journal of Information Processing","volume":"8 1","pages":"429-445"},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"63627250","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
Multidimensional Matching of Tactile Sensations of Materials and Vibrotactile Spectra 材料触觉与振动触觉光谱的多维匹配
Journal of Information Processing Pub Date : 2014-01-01 DOI: 10.11185/IMT.9.505
Yoichiro Matsuura, S. Okamoto, Hikaru Nagano, Yoji Yamada
{"title":"Multidimensional Matching of Tactile Sensations of Materials and Vibrotactile Spectra","authors":"Yoichiro Matsuura, S. Okamoto, Hikaru Nagano, Yoji Yamada","doi":"10.11185/IMT.9.505","DOIUrl":"https://doi.org/10.11185/IMT.9.505","url":null,"abstract":"Specifying the relationship between the sensations perceived by material surfaces and the tactile stimuli presented to human finger pad is often difficult in tactile texture studies. Both human texture perception and the physical stimuli presented to the skin are expressed as multidimensional information spaces. We developed a com- putational technique for matching these texture and physical stimulus spaces based on multivariate analysis approaches. The texture space is established via a semantic differ- ential method. The physical space is based on vibrotactile spectrum information, one of the most commonly used principles for the analysis and artificial presentation of textures. The bases of the physical space were determined to ensure that the material allocations for the two spaces were similar, and we obtained well-matched spaces for 18 material samples. These successfully matched spaces will provide an analytic tool for material tex- tures, and will help users of vibrotactile texture displays design virtual materials using adjectives or the names of materials.","PeriodicalId":16243,"journal":{"name":"Journal of Information Processing","volume":"9 1","pages":"505-516"},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"63627261","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: 4
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