[PDF] Top 20 Automated Pyramid Summarization Evaluation

... human summarization skills, and their de- velopment throughout secondary school and be- ...2010 summarization challenge used automatic caseframe analysis, and found essen- tially these same properties in ... See full document

... of event and entity coreference which make hu- man entailment judgment difficult. Such inde- terminacies are avoided by eliciting descriptions of the same images by different annotators. We repurpose manually created ... See full document

... for evaluation of extractive summarization, there are several previous optimization-based ap- proaches which included an approximation of ROUGE in the objective function to ...automatic evaluation ... See full document

... in Pyramid evaluation: creating a pyramid by annotating model summaries, and evaluating a new summary (peer) against a ...an automated evaluation component would address both ...a ... See full document

... scale-based evaluation method was ...the Pyramid method. The pyramid approach involves two ...a pyramid (SCUs are weighted according to the number of models, in which they ...the ... See full document

... text summarization approaches have been mostly based on metrics that measure similarities of system generated summaries with a set of human written gold-standard ...in summarization evaluation has ... See full document

... The pyramid method is an annotation and scor- ing procedure to assess semantic content of sum- maries in which the content units emerge from the ...of automated summarization systems, based on ... See full document

... human evaluation (pyramid) is concerned, our con- figuration SYS1 obtained an average ...the evaluation, all human summaries concentrate on one specific event described in the cluster “the killing of ... See full document

... subjective, evaluation can be difficult; Lin et ...six evaluation questions based on the original set of questions presented by Liu and Liu for ranking summaries in (Liu and Liu, ... See full document

... focused summarization, where the user’s informa- tion need is clearly stated in a short ...automatic evaluation procedures com- pare a summary with a set of human gold-standards, it is reasonable to expect ... See full document

... selection evaluation in summariza- tion that does not require the creation of human model ...scale evaluation from the Text Analysis Con- ference show that input-summary compar- isons are very effective for ... See full document

... in summarization has proven to be a difficult ...human evaluation, and it has been widely used since and has even been adapted for summarization (Lin and Hovy, ...the evaluation criterion can ... See full document

... Since automatic evaluation with ROUGE does not allow much introspection, we turn to our hu- man evaluation. Results are also summarized in Table 2. They show that both ReWoS–WCM and ReWoS–CM perform ... See full document

... Another commercial application developed for automated penetration testing developed by Immunity Inc [3]. Immunity’s Canvas is a vulnerability exploitation tool uses the same approach as Core Impact’s, the only ... See full document

... Another possible technique is text categorization (a.k.a. text classification) [39],[40] and [41]. Basically, text categorization is the task of assigning pre-defined categories to free-text documents. Using this ... See full document

... However, for the generic summaries in the cat- egorization task which was hard even for hu- mans with full-text, in the absence of a topic, the summarization methods in use by these syst[r] ... See full document

... and evaluation of event detection and summarization algorithms, for classification and recognition of audio-visual and cross-media events, as well as for emotion ...movie summarization system for the ... See full document

... Text summarization aims at compressing long documents into a shorter form that conveys the most important parts of the original docu- ...datasets, evaluation metrics, and models, and highlight three primary ... See full document

... From a total of 18 groups registered for the shared task, six of them submitted results and pub- lished reports describing their implemented sys- tems. As a consequence, different machine learn- ing paradigms (including ... See full document

... The Abstractive Techniques can be divided into structured-based (Template_based) such as Speech act-guided summarization and information Extraction techniques, and NLG based techniques such as RSG (Rich Semantic ... See full document