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- item-1 hasContent ed-chow.
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- item-2 hasContent dayne-freitag.
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- 7 creator ian-auty.
- 7 creator oliver-charles.
- 7 creator paul-rayson.
- 7 type InProceedings.
- 7 label "Can Google count? Estimating search engine result consistency".
- 7 sameAs 7.
- 7 abstract "In the last ten years, corpus and computational linguists have begun to source language samples from the Web. A standard pipeline has emerged for compilation of the ‘web as corpus’ including crawling, filtering, de-duplication, tokenising, indexing etc. However, there are certain areas where building a large enough corpus even from the web is not feasible, and it is tempting to use result counts derived from search engines to overcome the sparse data problem. In this paper we explore the stability of these search engine result counts for both multiword expressions and single words. Commercial search engines employ a range of techniques to estimate the counts, and thus it is important that researchers understand the implications and how to minimize this instability. Through a variety of different experiments and analysis, we investigate exactly how this stability manifests itself, and conclude with a set of guidelines on how future projects can ensure they are using accurate frequency data from search engines. Search engine result reliability will also have impact on corpora sourced from the web using the web as corpus paradigm.".
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- 7 keyword "Web as corpus".
- 7 keyword "frequency".
- 7 keyword "search engines".
- 7 title "Can Google count? Estimating search engine result consistency".
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- 1 creator benno-stein.
- 1 creator maik-anderka.
- 1 type InProceedings.
- 1 label "A Breakdown of Quality Flaws in Wikipedia".
- 1 sameAs 1.
- 1 abstract "The online encyclopedia Wikipedia is a successful example of the increasing popularity of user generated content on the Web. Despite its success, Wikipedia is often criticized for containing low-quality information, which is mainly attributed to its core policy of being open for editing by everyone. The identification of low-quality information is an important task since Wikipedia has become the primary source of knowledge for a huge number of people around the world. Previous research on quality assessment in Wikipedia either investigates only small samples of articles, or else focuses on single quality aspects, like accuracy or formality. This paper targets the investigation of quality flaws, and presents the first complete breakdown of Wikipedia's quality flaw structure. We conduct an extensive exploratory analysis, which reveals (1) the quality flaws that actually exist, (2) the distribution of flaws in Wikipedia, and (3) the extent of flawed content. An important finding is that more than one in four English Wikipedia articles contains at least one quality flaw, 70% of which concern article verifiability.".
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- 1 keyword "Information Quality".
- 1 keyword "Quality Flaws".
- 1 keyword "User-generated Content Analysis".
- 1 keyword "Wikipedia".
- 1 title "A Breakdown of Quality Flaws in Wikipedia".
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- 10 creator dasiuke-kitayama.
- 10 creator kazutoshi-sumiya.
- 10 type InProceedings.
- 10 label "A Deformation Analysis Method for Artificial Maps Based on Geographical Accuracy and Its Applications".
- 10 sameAs 10.
- 10 abstract "Artificial maps are widely used for a variety of purposes, including as tourist guides to help people find geographical objects using simple figures. We aim to develop an editing system and a navigation system for artificial maps. Artificial maps made for tourists show suitable objects for traveling users. Therefore, if the artificial map has a navigation system, users can get geographical information such as object positions and routes without performing any operations. However, artificial maps might contain incorrect or superfluous information, such as some objects on the map being intentionally enlarged or omitted. For developing the system, there are two problems: 1. how to extract geographical information from the raster graphics of the artificial map and 2. how to revise inaccurate geographical information on the artificial map. We propose a deformation-analyzing method based on geographical accuracy using optical character recognition techniques and comparing gazetteer information. That is, our proposed method detects the tolerance level for deformation according to the purpose of the artificial map. Then, we detect a certain position on the artificial map using deformation analysis. In this paper, we develop a prototype system and we evaluate the accuracy of extracting information from the artificial map and detecting positions.".
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- 10 keyword "Artificial Maps".
- 10 keyword "GIS".
- 10 keyword "Geographical Accuracy".
- 10 keyword "Navigation System".
- 10 title "A Deformation Analysis Method for Artificial Maps Based on Geographical Accuracy and Its Applications".
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- item-1 hasContent dasiuke-kitayama.
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- item-2 hasContent kazutoshi-sumiya.
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- 12 creator benno-stein.