... and reliable Web data. For some questions, the exact answer is the onlypossible one (e.g., the height of a person), while for others it is only the center of a distribution(e.g., the weight of ... datasets, Web and TRECbased. Web- based QA dataset. We created QAdatasets for size, height, width, weight, and depthattributes. For each attribute we extracted from theWeb 250 questions in the following ... based on the number of web snip-pets retrieved during the value acquisition stage.If there are several values with the same frequencywe select the median of these values.Approximating the attribute...
... (1) Given a web site, the root page and web pages directly linked fromthe root page are downloaded. Then for each of the downloaded web page, all of its anchor texts (i.e. the hyperlinked ... English-Chinese parallel data from the web. The mining procedure is initiated by acquiring Chinese website list. We have downloaded about 300,000 URLs of Chinese websites fromtheweb directories at ... that, using the new web mining scheme, theweb mining throughput is increased by 32%; (ii) The quality of the mined data is improved. By lever-aging theweb pages’ HTML structures, the sen-tence...
... verbsdescribing actions forthe noun “TV.” In the results,we find fresh and authentic sample sentences mined from the web, the first of which contains “watchTV,” the most common collocation, as the top result.Additionally, ... consistsof the crawler and the raw web page storage. The crawler periodically downloads two kinds of web pages, which are put into the storage. The first kindof web pages are parallel web pages ... round of the mining process. The second layer consists of the extractor, the filter, the classifiers and the readability evaluator,which are applied sequentially. The extractor scans the raw web page...
... query. In case the query is a term, its hitis the number of pages that contain the term on the Web. We use the following notation.H(x)= the number of pages that contain the term x” The number H ... half(Evaluation II) in Table 2 shows the result.S: the target term was collected by the system.F: the target term was removed in the filtering step.A: the target term existed in the compiled corpus,but ... automatic term extrac-tion.C: the target term existed in the collected web pages, but did not exist in the compiled corpus.R: the target term did not exist on the collected web pages.Only 43 terms...
... by the Indiana Council for Economic Education (ICEE). For further information see www.econed-in.org☞Parent and Community Support: Parents are strong supporters of the mini-economy program. They ... become rather hectic, these tips should be helpful: Display the Items/Privileges Before the Auction Takes Place. This allows the students toexamine carefully what will be offered for sale ... usually open before school or at the end of the day. Others have special “store times” for students to shop.✎ Setting Prices: Unlike the class auction, it will be necessary to set prices for store...
... and the Bootstrapper thenenhances it further more. On average, the Ex-pander improves the performance of the Provider from 37% to 80% for English, 24% to 82% for Chinese, and 12% to 89% for ... com-ponents: the Fetcher, Extractor, and Ranker. The Fetcher is responsible for fetching web docu-ments, and the URLs of the documents come from top results retrieved fromthe search engine us-ing the ... effective even without the Expander; itdirectly improves the performance of the Provider from 37% to 77% for English, 24% to 52% for Chinese, and 12% to 39% for Japanese. The simple back-off strategy...
... results for the formal and agentive roles, while forthe con-stitutive and telic roles the Web- Jac measure per-Figure 1: Average F1measure forthe different rank-ing measuresformed best. The ... coefficient (Web- Jac), the PointwiseMutual Information (Web- PMI) and the conditionalprobability (Web- P). We also present a version of the conditional probability which does not use the Web but merely ... presents an approach forthe au-tomatic acquisition of qualia structures for nouns fromtheWeb and thus opens the pos-sibility to explore the impact of qualia struc-tures for natural language...
... [END:TITLE]. The number inside the chunk token is the length of the text chunk, not counting whitespace; from this point on only the length of the text chunks is used, and therefore the structural ... considered the most reliable, these were used as the basis forthe computation of recall and precision. For this reason, and because the human-judged set included only a sample of the full ... data fromthe European Cor- pus Initiative (ECI), available fromthe Linguis- tic Data Consortium (LDC). In a formal evaluation, STRAND with the new language identification stage was run for...
... our modified version of the competitive link-ing algorithm, the link score of a pair of words is the sum of the φ2 scores of the words themselves, their prefixes and their suffixes. In addition ... pairs, where the translation of the in-parenthesis terms is a suffix of the pre-parenthesis text. The lengths and frequency counts of the suffixes have been used to determine what is the translation ... Whenever there is more than one translation, we randomly pick one as the answer key. For each Chinese and English word in the Wikipedia data, we first find whether there is a translation for the...
... demon-strated how to scale up their algorithms forthe web. Several techniques for semantic class inductionhave also been developed specifically for learning from the web. (Pasáca, 2004) uses Hearsts ... hyponym patterns toextract class instances fromtheweb and then evalu-ates them further by computing mutual informationscores based on web queries. The work by (Widdows and Dorow, 2002) on lex-ical ... to instantiate the pattern. On the first iteration, the pattern is given to Google as a web query, and new class members are extracted from the retrieved text snippets. We wanted the system to...
... very large text corpora. Today, the web contains more data than the largest availabletext corpus. For this reason, we are interested in em-ploying thewebfortheextraction of hypernym re-lations. ... interesting information. Most web search engines impose a limit on the numberof results returned from a query (for example 1000),which limits the opportunities for assessing the per-formance of ... about whether the size of theweb allows to achieve meaningful resultswith basic extraction techniques.In section two we introduce the task, hypernym extraction. Section three presents the results...