ANALYTICAL ASSESSMENT OF NOUN VERB TERM EXTRACTION FOR DOCUMENT CLASSIFICATION USING T-TEST

Verb Noun Construction MWE Token Classification

We address the problem of classifying multiword expression tokens in running text. We focus our study on Verb-Noun Constructions (VNC) that vary in their idiomaticity depending on context. VNC tokens are classified as either idiomatic or literal. We present a supervised learning approach to the problem. We experiment with different features. Our approach yields the best results to date on MWE c...

Term Extraction Using Verb Co-Occurrence

Handling Sparsity for Verb Noun MWE Token Classification

We address the problem of classifying multiword expression tokens in running text. We focus our study on Verb-Noun Constructions (VNC) that vary in their idiomaticity depending on context. VNC tokens are classified as either idiomatic or literal. Our approach hinges upon the assumption that a literal VNC will have more in common with its component words than an idiomatic one. Commonality is mea...

assessment of the efficiency of s.p.g.c refineries using network dea

data envelopment analysis (dea) is a powerful tool for measuring relative efficiency of organizational units referred to as decision making units (dmus). in most cases dmus have network structures with internal linking activities. traditional dea models, however, consider dmus as black boxes with no regard to their linking activities and therefore do not provide decision makers with the reasons...

Using Image-Based Document Classification and Extraction

 Large organizations continue to process enormous volumes of paper-based information as well as large volumes of relatively unorganized electronic documents and files;  The cost of processing a paper invoice is ten times that of an invoice handled electronically , and the cost of classification and organization of electronic files runs from $.05 cent to $1.00 per page and even more for extrac...