... preparing:5/9/08Date of teaching: Period 11Unit 2 personal information Lesson 5: B4- 5- P 25 - 26 A - Aim- Listening for factual information - Practice listening skill.- At the end of ... …………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………Date of preparing:6/9/08Date of teaching: Period 12Unit 2 personal information Lesson 6 : B6- 7- P 27 A - Aim- Practice reading, listening skills.- At the ... September October November December Date of preparing:Date of teaching: Period 08Unit 2 personal information Lesson 2: A4- 5- P- 21A - Aim- The "will" future, positive statements...
... Database Schema Informationfrom SQL Server Problem You need to retrieve database schema informationfrom a SQL Server database. Solution Retrieve table schema information using either information ... accessed through the following syntax: INFORMATION_ SCHEMA.TABLES Table 10-1 lists the information schema views available in SQL Server 2000. Table 10-1. Information schema views Name Description ... view. Like any other views, information schema views can also be joined in queries or participate in complex queries to extract specific information. For detailed information about the different...
... the web. In 1994,one of the first websearch engines, the World Wide Web Worm (WWWW) [McBryan 94] had an indexof 110,000 web pages and web accessible documents. As of November, 1997, the top search ... large-scale search engines on the web, very little academic research has been done on them. Furthermore, due to rapid advance intechnology and web proliferation, creating a websearch engine ... enginesclaim to index from 2 million (WebCrawler) to 100 million web documents (from Search EngineWatch). It is foreseeable that by the year 2000, a comprehensive index of the Web will contain over...
... forone-word queries.7 Related Work Web search results clustering and diversity in search results are topics that receive an increas-ing attention from the research community. Diver-sity is used ... Campaign: overview of the Web Peo-ple Search Clustering Task. In 2nd Web People Search Evaluation Workshop (WePS 2009), 18thWWW Conference. 2009.T. Brants and A. Franz. 2006. Web 1T 5-gram, version1. ... thecollection of documents with statistics from arepresentative snapshot of the Web. 3. Experiment VSM-mixed combines statistics from the collection and from the GoogleTerabyte collection, following...
... translations in Chinese web page snippets. We thus base our system on web search engine: retrieving candidates from returned snippets, combining both linguistic and statistical information to find ... terms from the web through cross-lingual query expansion. SIGIR 2005: 669-670. Zhang, Ying and Phil Vines. 2004. Using the web for automated translation extraction in cross-language information ... foreign names appearing in test data is removed from the dictionary. From the above equations we could derive that LSim() of fragment pairs is also ranged from 0 to 1. Candidates to be evaluated...
... infor-mation from semi-structured text using a discrimi-native context free grammar SIGIR 2005: 330-337. Xue, GR, HJ Zeng, Z Chen, Y Yu, WY Ma, WS Xi, WG Fan, (2004), Optimizing websearch using web ... Random Fields. 1 Introduction Understanding users’ intent fromwebsearch queries is an important step in designing an intel-ligent search engine. While it remains a chal-lenge to have a scientific ... specialized search engines build their in-dexes directly from relational databases, which contain highly structured information. Given a query tagged with the semantic labels, a search engine...
... contain, and from which resources the instances should be collected.5 ConclusionIn a departure from previous approaches to large-scale information extraction from unstructured texton the Web, this ... instances collected automat-ically fromWeb documents are passed as inputto phase (2) from Figure 1, which acquires classattributes by mining a collection of Web search queries. The attributes ... large-scale information ex-traction take advantage of unstructured text avail-able from either Web documents (Banko et al.,2007; Snow et al., 2006) or, more recently, logs of Web search queries...
... blogs: 80,000 sentences from 1,100,000 blog entries. Generic webs: 80,000 sentences from 470M web sentences (Kawahara and Kuro-hashi, 2006). We extracted travel information (location-name/local-product ... from travel blogs, while 15 and 7 were extracted from generic blogs and generic webs, respective-ly. These results also indicate the effectiveness of travel blogs as a source for travel information. ... ex-tracting travel informationfrom them. In the identification of travel blogs, we obtained of 38.1% for Recall and 86.7% for Precision. In the extraction of travel informationfrom travel blogs,...
... women needlwhere to find more health information that you can trustIn each chapter, besides important health tips, you will also find personal stories from women across the country. You may ... www.ndep.nih.govPhone number: (888) 693-6337National Diabetes Information Clearinghouse, NIH1 Information WayBethesda, MD 20892-3560 Web site: www.diabetes.niddk.nih.govPhone number: (800) 860-8747Ofce ... and political upheaval, I thought I was ready for the news. I would just jot the information down, do some research, find treatment, and get on with my life. I could hardly hold the pen. My...
... what personalinformation you have in your files and on your computers. 3. LOCK IT. Protect the information that you keep. What’s the best way to protect the sensitive personally identifying information ... the information you have by type and location. Your le cabinets and computer systems are a start, but remember: your business receives personalinformation in a number of ways—through websites, ... credit card information or other sensitive nancial data, use Secure Sockets Layer (SSL) or another secure connection that protects the information in transit. Protecting PERSONAL INFORMATION...
... more likely to use questions to ex-press their search intent.1 IntroductionA websearch query is the text users enter into the search box of a search engine to describe their infor-mation need. ... with the nuances of web search, are question-queries — natural-language questionsposed as queries — gradually disappearing from the search vernacular? If true, then the need for search engines to ... in the kind of information usersare now seeking from the Web, e.g., as a result ofgrowing popularity of Q&A sites or as people en-trust search engines with more complex information needs;...