[PDF] Top 20 Deconstructing Human Literature Reviews – A Framework for Multi Document Summarization

... research literature  Reinterpret and critique previous results These rhetorical characteristics of literature reviews make it a challenging research problem in automatic multi-document ... See full document

... neural document model into multi-document summarization task and pro- posed a document-level reconstruction framework named ...this framework, we represent and reconstruct ... See full document

... encoder-decoder framework has recently been exploited to summarize single documents, but its success can in part be attributed to the avail- ability of large parallel data automatically ac- quired from the ...for ... See full document

... extractive multi-document ...optimization framework where any function of input documents and a system summary can be plugged ...Our framework includes two kinds of sum- marizers – one based ... See full document

... a document can be interpreted in different fashions by different people, especially in the way they understand and interpret the context (Pardo et ...SubSum Framework: In order to capture the uncertainty of ... See full document

... on document summarization are extractive which principally based on two im- portant objectives, namely maximizing the rele- vance and minimizing the redundancy (Carbonell and Goldstein, 1998; Erkan and ... See full document

... We now present our query-focused MDS frame- work consisting of three steps: Sentence Rank- ing, Sentence Compression and Post-processing. First, sentence ranking determines the importance of each sentence given the ... See full document

... extractive summarization tasks, sentence ranking is the issue of most concern (Wei et ...the literature from different aspects to rank ...in summarization for learning op- timal feature weights ... See full document

... in summarization, we chose to develop our own sentence extractor as a first attempt at summarizing evaluative argu- ...open-source framework for multi- document summarization, to suit ... See full document

... the document first and scoring the individual sentences with respect to the ...in document summarization to discover the topics present in a document ...clustering-based summarization ... See full document

... Abstract: Multi document summarization is the process of transforming a set of documents into a single summarized ...summarized document can give overall idea of the document ... See full document

... DPP: Determinantal point processes (DPPs) (Kulesza and Taskar, 2012) are prob- abilistic models of sets which balance the selection of important information and diverse groups of sentences within a given length. ... See full document

... Note that we use u to represent the vector dimen- sion throughout the model description (specific value settings are given in Section 5). The rep- resentations for news sentences S and news docu- ments D are learned in a ... See full document

... Given a set of topically related documents, the segmentation process is carried out using a Bayesian framework. By using similar sentences from different documents more accurate segment likelihood estimations are ... See full document

... We present a novel framework of system combination for multi-document summarization. For each input set (input), we generate candidate summaries by combining whole sentences from the summaries ... See full document

... In this paper, we develop a neural summariza- tion model which can effectively process multi- ple input documents and distill abstractive sum- maries. Our model augments the previously pro- posed Transformer ... See full document

... Each sentence in the document set is then ranked, using the key concept structures. An example is shown in Figure 2. The ranking algorithm rewards most specific concepts first; for example, a sentence containing ... See full document

... in multi-document summarization has been extractive, and in our observation, scientific articles contain the type of information that we would want in a sum- mary, we follow this ...abstractive ... See full document

... Formally speaking, in this paper we introduce (1) a novel text representation model expanding a classic Vector Space Model (Salton et al., 1975) to Hyperplane and Half-spaces, (2) re-formulated extractive ... See full document

... The existing system is to regard the aspects that are often commented in consumer reviews as important. Though consumers’ feedback on the aspects may not influence their overall opinions on the product, and their ... See full document