[PDF] Top 20 Toward the “At a glance” Summary: Phrase representation Summarization Method

... ! Prepare simulated WWW search results with different types of summaries; (A) first 80 characters, (B) important sentence se- lection (Zechner, 1996), (C) phrase- represented summary, (D) keyword enu- ... See full document

... citation summary as sentences talk- ing about the same event, yet generated in differ- ent ...the method in- spired by (Barzilay et ...a summary of all previous works in that topic, preferably sorted ... See full document

... a summary if there exists an n-gram such that the similarity score between the SCU low dimensional vector and the n-gram low dimensional vector exceeds a ...based method pro- duces automated scores that ... See full document

... competitive summarization systems are ex- tractive, selecting representative sentences from in- put documents and concatenating them to form a ...greedy method exploiting submodularity (Lin and Bilmes, ... See full document

... extractive summarization are trained by multi- task learning ...ILP-based summary sentence se- ...document summarization tasks as opti- mization problems and use their solutions to guide sentence ... See full document

... that summary can be obtained by more extractive way like selectingmore salient sentences through Machine Learning or Data Mining ...the summary of the original document by more effective ...value ... See full document

... review summarization. (Ganesan et al., 2010) pro- posed a graph-based method for generating ultra concise opinion summaries of ...their method didn’t provide a well-formed grammatical ...Their ... See full document

... our method that may reduce its general usefulness is the computation ...allow summary words to align to words found in their corresponding extract sentences, which would serve to significantly speed up ... See full document

... extractive summarization methods have achieved great success, one limita- tion they share is that they generate the summary after only one pass through the ...good summary, we usually first browse ... See full document

... automatic summary extraction from a large corpus of ...time-efficient method of extractive summarization can assist journalists in their day to day tasks, as well as provide better tools for infor- ... See full document

... previous summarization systems, though not well-studied, some widely-used sentence ranking features such as the length and the ratio of stop- words, can be seen as attempts to measure the summary prior ... See full document

... The advantages of looking at the summarization problem in terms of distinct processing phases are numerous. It not only serves as a common ground for comparing different systems and understand- ing better the ... See full document

... a summary is mainly composed of linked entities extracted from the original ...a method to ef- fectively apply linked entities in sequence-to- sequence models, called Entity2Topic ...the summary to ... See full document

... its summary is less than half of the main text. Summarization has been viewed as a two step ...intermediate representation of some ...intermediate representation to generate a ...A ... See full document

... Extractive Summarization As See et ...strong summarization baseline in CNN/Daily Mail ...simple method which always returns 3 or 4 sen- tences at the ... See full document

... a summary cloze instance where the pre- ceding sentences are the context and the topic is “Barack Obama, Family and personal ...a summary cloze dataset, we first parsed the articles and citations from the ... See full document

... document summarization methods as proposed in (Hirao et al., 2013). Their method formulates a single doc- ument summarization problem as a Tree Knap- sack Problem (TKP) over a dependency-based dis- ... See full document

... based summarization are getting better, when the length of summaries is ...short summary, people always condense sentences from original documents, and use some new words to substitute original concepts in ... See full document

... In this work, the diversity of summarization refers to generating words that are different from the source text. VAEs have become more and more popular (Hu et al., 2017; Shen et al., 2017) in gen- erating diverse ... See full document

... In recent years there has been a lot of interest in service discovery. Most of the research work has been focused in the area of designing protocols for service discovery. Any- cast [4], SLP [18], LDAP [43] etc. are ... See full document