Matches in ScholarlyData for { ?s ?p ?o. }
- item-1 type ListItem.
- item-1 hasContent ayman-farahat.
- 155 type InProceedings.
- 155 label "Crosslanguage Blog Mining and Trend Visualisation".
- 155 sameAs 155.
- 155 abstract "People use weblogs to express thoughts, present ideas and share knowledge, therefore weblogs are extraordinarily valuable resources, amongs others, for trend analysis. Trends are derived from the chronological sequence of blog post count per topic. The comparison with a reference corpus allows qualitative statements over identified trends. We propose a crosslanguage blog mining and trend visualisation system to analyse blogs across languages and topics. The trend visualisation facilitates the identification of trends and the comparison with the reference news article corpus. To prove the correctness of our system we computed the correlation between trends in blogs and news articles for a subset of blogs and topics. The evaluation corroborated our hypothesis of a high correlation coefficient for these subsets and therefore the correctness of our system for different languages and topics is proven.".
- 155 hasAuthorList authorList.
- 155 isPartOf proceedings.
- 155 keyword "Poster Session".
- 155 title "Crosslanguage Blog Mining and Trend Visualisation".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasLastItem item-2.
- item-1 type ListItem.
- item-1 hasContent andreas-juffinger.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent elisabeth-lex.
- item-2 previous item-1.
- 156 type InProceedings.
- 156 label "Crawling English-Japanese Person-Name Transliterations from the Web".
- 156 sameAs 156.
- 156 abstract "Automatic compilation of lexicon is a dream of lexicon compilers as well as lexicon users. This paper proposes a system that crawls English-Japanese person-name transliterations from the Web, which works a back-end collector for automatic compilation of bilingual person-name lexicon. Our crawler collected 561K transliterations in five months. From them, an English-Japanese person-name lexicon with 406K entries has been compiled by an automatic post processing. This lexicon is much larger than other similar resources including English-Japanese lexicon of HeiNER obtained from Wikipedia. names written in Latin script are transliterated into one in Katakana script according to their pronunciations. English-Japanese transliteration of person name is difficult because of several reasons, such as limited coverage of existing bilingual lexicons, non-English (e.g., French and German) person names appeared in English texts, and spelling variants in Katakana script. 2. There is a possibility that we can compile a large EnglishJapanese person-name lexicon from the Web, because a lot of transliteration instances of person names exist on the Web. Actually, human translators use the Web as a virtual low-quality bilingual lexicon. 3. New person names are produced; new person-name transliterations are produced in every day. Human translators hope frequent update of bilingual personname lexicon. This paper proposes a system that crawls English-Japanese person-name transliterations from the Web, which works as a back-end collector for automatic lexicon compilation. From collected transliterations, a bilingual person-name lexicon is produced by an automatic post processing. This attempt of automatic lexicon compilation can be viewed as a conversion from a virtual low-quality bilingual lexicon (i.e., the Web) to a real high-quality bilingual lexicon.".
- 156 hasAuthorList authorList.
- 156 isPartOf proceedings.
- 156 keyword "Poster Session".
- 156 title "Crawling English-Japanese Person-Name Transliterations from the Web".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasLastItem item-1.
- item-1 type ListItem.
- item-1 hasContent satoshi-sato.
- 157 type InProceedings.
- 157 label "Near Real Time Information Mining in Multilingual News".
- 157 sameAs 157.
- 157 abstract "This paper presents a near real-time multilingual news monitoring and analysis system that forms the backbone of our research work. The system integrates technologies to address the problems related to information extraction and analysis of open source intelligence on the World Wide Web. By chaining together different techniques in text mining, automated machine learning and statistical analysis, we can automatically determine who, where and, to a certain extent, what is being reported in news articles.".
- 157 hasAuthorList authorList.
- 157 isPartOf proceedings.
- 157 keyword "Poster Session".
- 157 title "Near Real Time Information Mining in Multilingual News".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasLastItem item-2.
- item-1 type ListItem.
- item-1 hasContent martin-atkinson.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent erik-van-der-goot.
- item-2 previous item-1.
- 158 type InProceedings.
- 158 label "Mining Multilingual Topics from Wikipedia".
- 158 sameAs 158.
- 158 abstract "In this paper, we try to leverage a large-scale and multilingual knowledge base, Wikipedia, to help effectively analyze and organize Web information written in different languages. Based on the observation that one Wikipedia concept may be described by articles in different languages, we adapt existing topic modeling algorithm for mining multilingual topics from this knowledge base. The extracted "universal" topics have multiple types of representations, with each type corresponding to one language. Accordingly, new documents of different languages can be represented in a space using a group of universal topics, which makes various multilingual Web applications feasible.".
- 158 hasAuthorList authorList.
- 158 isPartOf proceedings.
- 158 keyword "Poster Session".
- 158 title "Mining Multilingual Topics from Wikipedia".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasItem item-3.
- authorList hasItem item-4.
- authorList hasLastItem item-4.
- item-1 type ListItem.
- item-1 hasContent xiaochuan-ni.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent jian-tao-sun.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent jian-hu.
- item-3 next item-4.
- item-3 previous item-2.
- item-4 type ListItem.
- item-4 hasContent zheng-chen.
- item-4 previous item-3.
- 159 type InProceedings.
- 159 label "Towards LanguageIndependent Web Genre Detection".
- 159 sameAs 159.
- 159 abstract "The term web genre denotes the type of a given web resource, in contrast to the topic of its content. In this research, we focus on recognizing the web genres blog, wiki and forum. We present a set of features that exploit the hierarchical structure of the web page's HTML mark-up and thus, in contrast to related approaches, do not depend on a linguistic analysis of the page's content. Our results show that it is possible to achieve a very good accuracy for a fully language independent detection of structured web genres. features (e.g. part-of-speech tagging and document terms), structural features (e.g. HTML tag frequencies, use of facets used to enable functionalities like form input elements) and simple text statistics (e.g. frequencies of punctuation). However, a fact often neglected by related work is that the absolute dominance of the English language on the web is decreasing. Thus, it is important to develop a way of recognizing web genres independently of the language used on the respective web page. As many genres exhibit a certain structural and visual layout, this property enables to ignore linguistic features altogether.".
- 159 hasAuthorList authorList.
- 159 isPartOf proceedings.
- 159 keyword "Poster Session".
- 159 title "Towards LanguageIndependent Web Genre Detection".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasItem item-3.
- authorList hasItem item-4.
- authorList hasItem item-5.
- authorList hasLastItem item-5.
- item-1 type ListItem.