C. Oshima, K. Machishima, Katsuki Yamaguchi, K. Nakayama
{"title":"A Method of Displaying a Model Performance to Motivate Elderly Novice People to Play the Keyboard Instrument","authors":"C. Oshima, K. Machishima, Katsuki Yamaguchi, K. Nakayama","doi":"10.11185/IMT.11.236","DOIUrl":"https://doi.org/10.11185/IMT.11.236","url":null,"abstract":"","PeriodicalId":16243,"journal":{"name":"Journal of Information Processing","volume":"11 1","pages":"236-249"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"63626218","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}
R. Hirschfeld, H. Masuhara, Atsushi Igarashi, T. Felgentreff
{"title":"Visibility of Context-oriented Behavior and State in L","authors":"R. Hirschfeld, H. Masuhara, Atsushi Igarashi, T. Felgentreff","doi":"10.11185/IMT.11.11","DOIUrl":"https://doi.org/10.11185/IMT.11.11","url":null,"abstract":"One of the properties of context-oriented programming languages is the composition of partial module definitions. While in most such language extensions the state and behavior introduced by partial definitions are treated equally at the module level, we propose a refinement of that approach to allow for both public and restricted visibility of methods and local and shared visibility of fields in our experimental language L. Furthermore, we propose a new lookup mechanism to reduce the risk of name captures.","PeriodicalId":16243,"journal":{"name":"Journal of Information Processing","volume":"11 1","pages":"11-20"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"63626131","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}
{"title":"A Linear-Time Self-Interpreter of a Reversible Imperative Language","authors":"R. Glück, T. Yokoyama","doi":"10.11185/IMT.11.160","DOIUrl":"https://doi.org/10.11185/IMT.11.160","url":null,"abstract":"A linear-time reversible self-interpreter in an r-Turing complete reversible imperative language is presented. The proposed imperative language has reversible structured control (cid:13)ow operators and symbolic tree-structured data (S-expressions). The latter data structures are dynamically allocated and enable reversible simulation of programs of arbitrary size and space consumption. As self-interpreters are used to show a number of fundamental properties in classic computability and complexity theory, the present study of an efficient reversible self-interpreter is intended as a basis for future work on reversible computability and complexity theory as well as programming language theory for reversible computing. Although the proposed reversible interpreter consumes superlinear space, the restriction of the number of variables in the source language leads to linear-time reversible simulation.","PeriodicalId":16243,"journal":{"name":"Journal of Information Processing","volume":"11 1","pages":"160-180"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"63626180","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}
{"title":"Left-corner Parsing for Dependency Grammar","authors":"Hiroshi Noji, Yusuke Miyao","doi":"10.5715/JNLP.22.251","DOIUrl":"https://doi.org/10.5715/JNLP.22.251","url":null,"abstract":"In this article, we present an incremental dependency parsing algorithm with an arc-eager variant of the left-corner parsing strategy. Our algorithm’s stack depth captures the center-embeddedness of the recognized dependency structure. A higher stack depth occurs only when processing deeper center-embedded sentences in which people find difficulty in comprehension. We examine whether our algorithm can capture the syntactic regularity that universally exists in languages through two kinds of experiments across treebanks of 19 languages. We first show through oracle parsing experiments that our parsing algorithm consistently requires less stack depth to recognize annotated trees relative to other algorithms across languages. This result also suggests the existence of a syntactic universal by which deeper center-embedding is a rare construction across languages, a result that has yet to be quantitatively cross-linguistically examined. We further investigate the above claim through supervised parsing experiments and show that our proposed parser is consistently less sensitive to constraints on stack depth bounds when decoding across languages, while the performance of other parsers such as the arc-eager parser is largely affected by such constraints. We thus conclude that the stack depth of our parser represents a more meaningful measure for capturing syntactic regularity in languages than those of existing parsers.","PeriodicalId":16243,"journal":{"name":"Journal of Information Processing","volume":"22 1","pages":"251-288"},"PeriodicalIF":0.0,"publicationDate":"2015-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71087610","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}
Hanyuool Kim, Hiroki Yamamoto, Naoya Koizumi, S. Maekawa, T. Naemura
{"title":"HoVerTable: Combining Dual-sided Vertical Mid-air Images with a Horizontal Tabletop Display","authors":"Hanyuool Kim, Hiroki Yamamoto, Naoya Koizumi, S. Maekawa, T. Naemura","doi":"10.11185/IMT.10.509","DOIUrl":"https://doi.org/10.11185/IMT.10.509","url":null,"abstract":"– Tabletop displays serve as shared displays and co-located workspaces for multiple people. People often place physical objects such as mockup models on the table as an intuitive communication tool for tabletop displays. However, current tabletop displays have limitations in terms of image presentation: The display area is limited to horizontal surfaces, and the view-dependent appearance of the shared images is not provided. The goal of this paper is to solve these limitations by combining dual-sided vertical mid-air images and horizontal image projection to enhance visual presentation. For this purpose, our optical design employed a plate-shaped imaging optics as a tabletop surface and di ff usion control film as a projection screen. The proposed system, “HoVerTable,” provides both vertical and horizontal images to two users facing one another. In this paper, we describe the details of our optical design. A user study confirmed that providing text captions dependent on users’ viewpoints is e ff ective for text annotation in a shared tabletop environment. With HoVerTable, users can enjoy interactive applications such as a mixed reality showcase.","PeriodicalId":16243,"journal":{"name":"Journal of Information Processing","volume":"10 1","pages":"509-520"},"PeriodicalIF":0.0,"publicationDate":"2015-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"63626062","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}
{"title":"Parallel Sentence Extraction Based on Unsupervised Bilingual Lexicon Extraction from Comparable Corpora","authors":"Chenhui Chu, Toshiaki Nakazawa, S. Kurohashi","doi":"10.5715/JNLP.22.139","DOIUrl":"https://doi.org/10.5715/JNLP.22.139","url":null,"abstract":"Parallel corpora are crucial for statistical machine translation (SMT); however, they are quite scarce for most language pairs and domains. As comparable corpora are far more available, many studies have been conducted to extract parallel sentences from them for SMT. Parallel sentence extraction relies highly on bilingual lexicons that are also very scarce. We propose an unsupervised bilingual lexicon extraction based parallel sentence extraction system that first extracts bilingual lexicons from comparable corpora and then extracts parallel sentences using the lexicons. Our bilingual lexicon extraction method is based on a combination of topic model and context based methods in an iterative process. The proposed method does not rely on any prior knowledge, and the performance can be improved iteratively. The parallel sentence extraction method uses a binary classifier for parallel sentence identification. The extracted bilingual lexicons are used for the classifier to improve the performance of parallel sentence extraction. Experiments conducted with the Wikipedia data indicate that the proposed bilingual lexicon extraction method greatly outperforms existing methods, and the extracted bilingual lexicons significantly improve the performance of parallel sentence extraction for SMT.","PeriodicalId":16243,"journal":{"name":"Journal of Information Processing","volume":"17 1","pages":"139-170"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71087186","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}
{"title":"Stacking Approach to Temporal Relation Classification with Temporal Inference","authors":"N. Laokulrat, Makoto Miwa, Yoshimasa Tsuruoka","doi":"10.5715/JNLP.22.171","DOIUrl":"https://doi.org/10.5715/JNLP.22.171","url":null,"abstract":"Traditional machine-learning-based approaches to temporal relation classification use only local features, i.e., those relating to a specific pair of temporal entities (events and temporal expressions), and thus fail to incorporate useful information that could be inferred from nearby entities. In this paper, we use timegraphs and stacked learning to perform temporal inference for classification in the temporal relation classification task. In our model, we predict a temporal relation by considering the consistency of possible relations between nearby entities. Performing 10-fold cross-validation on the Timebank corpus, we achieve an F1 score of 60.25% using a graph-based evaluation, which is 0.90 percentage points higher than that of the local approach, outperforming other proposed systems.","PeriodicalId":16243,"journal":{"name":"Journal of Information Processing","volume":"54 1","pages":"171-196"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71087198","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}
{"title":"Cross-lingual Investigation of User Evaluations for Global Restaurants","authors":"Jiawen Le, H. Yamana","doi":"10.11185/IMT.10.317","DOIUrl":"https://doi.org/10.11185/IMT.10.317","url":null,"abstract":"Twitter, as one of the most popular social network services, is now widely used to query public opinions. In this research, Twitter data, along with the reviews collected from review websites is used to carry out some basic, sentimental, and culture-based analysis, so as to figure out the cultural effects on user evaluations for global restaurants. This research is based on the authors’ previous work, which only considers posts and reviews written in English. In this research, a language expansion is carried out that more than 30 languages are taken into account. By using a range of new and standard features, a series of classifiers are trained and applied in the later steps of sentiment analysis, through which some informative results are obtained considering the relationship between user evaluations and cultural backgrounds.","PeriodicalId":16243,"journal":{"name":"Journal of Information Processing","volume":"10 1","pages":"317-322"},"PeriodicalIF":0.0,"publicationDate":"2015-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"63625713","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}
{"title":"kNN Search Algorithm with Index of the Minimum Road Travel Time in Time-Dependent Road Networks","authors":"Yuka Komai, D. Nguyen, T. Hara, S. Nishio","doi":"10.11185/IMT.10.323","DOIUrl":"https://doi.org/10.11185/IMT.10.323","url":null,"abstract":"","PeriodicalId":16243,"journal":{"name":"Journal of Information Processing","volume":"10 1","pages":"323-329"},"PeriodicalIF":0.0,"publicationDate":"2015-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.11185/IMT.10.323","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"63625727","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}
{"title":"Smartphone Privacy in Mobile Computing: Issues, Methods and Systems","authors":"Rui Liu, Jiannong Cao, Lei Yang","doi":"10.11185/IMT.10.281","DOIUrl":"https://doi.org/10.11185/IMT.10.281","url":null,"abstract":"","PeriodicalId":16243,"journal":{"name":"Journal of Information Processing","volume":"10 1","pages":"281-293"},"PeriodicalIF":0.0,"publicationDate":"2015-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"63625654","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}