01385nas a2200181   4500008004100000245005900041210005800100260000900158300001400167490000600181520081700187653001101004653002701015653001701042100001301059700001401072856011701086       2008                        eng d00aWeb information extraction using web-specific features0 aWeb information extraction using webspecific features  c2008  a235 - 2430 v63 aSeveral problems exist with traditional HMM based approaches for Web information extraction (IE) due to the lack of consideration on Web-specific features. To address this Issue we present a Generalized Hidden Markov Model (GHMM) that extends HMMs by making use of Web-specific Information for Web IE. In GHMMbased approach, Web content blocks instead of terms are used as basic extraction unit. Besides, instead of using the traditional sequential state transition order, GHMM decides the state transition order based on layout structure of the corresponding web page. Furthermore, GHMM uses multiple emission features derived from Web information instead of single emission feature. Experimental study shows that GHMM based approach can effectively improve Web IE comparing to traditional HMM based approaches.10aHidden10aInformation extraction10aMarkov model1 aChen, J.1 aZhong, P.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-70350728184&partnerID=40&md5=f0b7ac3e808f4c890768399e96e15bca