Results 31 to 40 of about 156,586 (309)

Abstractive Multi-Document Summarization via Phrase Selection and Merging [PDF]

open access: yes, 2015
We propose an abstraction-based multi-document summarization framework that can construct new sentences by exploring more fine-grained syntactic units than sentences, namely, noun/verb phrases.
Bing, Lidong   +5 more
core   +1 more source

CMDC:an iterative algorithm for complementary multi-view document clustering

open access: yesTongxin xuebao, 2020
In response to the problems traditional multi-view document clustering methods separate the multi-view document representation from the clustering process and ignore the complementary characteristics of multi-view document clustering,an iterative ...
Ruizhang HUANG   +5 more
doaj   +2 more sources

Multi-document video summarization

open access: yes2009 IEEE International Conference on Multimedia and Expo, 2009
Most previous works on video summarization target on a single video document. With the popularity of video corpus (e.g. news video archives) and web videos, video article that consists of a set of relevant videos are frequently confronted by users. By the traditional single-document summarization, these videos are treated independently and the results ...
Feng Wang, Bernard Merialdo
openaire   +3 more sources

Hierarchical Dirichlet Multinomial Allocation Model for Multi-Source Document Clustering

open access: yesIEEE Access, 2020
Mining a document structure from multiple data sources in terms of their underlying topics has become an important task of document clustering. The traditional document clustering approach cannot be applied directly to the multi-source document ...
Ruizhang Huang   +3 more
doaj   +1 more source

Multi Document Reading Comprehension

open access: yes, 2022
Reading Comprehension (RC) is a task of answering a question from a given passage or a set of passages. In the case of multiple passages, the task is to find the best possible answer to the question. Recent trials and experiments in the field of Natural Language Processing (NLP) have proved that machines can be provided with the ability to not only ...
openaire   +2 more sources

Pindex: Private multi-linked index for encrypted document retrieval.

open access: yesPLoS ONE, 2021
Cryptographic cloud storage is used to make optimal use of the cloud storage infrastructure to outsource sensitive and mission-critical data. The continuous growth of encrypted data outsourced to cloud storage requires continuous updating.
A John Prakash, B Lydia Elizabeth
doaj   +1 more source

A Framework for Generating Extractive Summary from Multiple Malayalam Documents

open access: yesInformation, 2021
Automatic extractive text summarization retrieves a subset of data that represents most notable sentences in the entire document. In the era of digital explosion, which is mostly unstructured textual data, there is a demand for users to understand the ...
K. Manju   +2 more
doaj   +1 more source

Sub-Topic Segmentation in Multi-Document

open access: yesAdvanced Materials Research, 2012
The similar sentences in multi-document set are combined into one class, and each class is one sub-topic. Describing the sub-topics from the perspective of understanding makes the multi-document summarization become the one with greater coverage and less redundancy.
Wei Teng, Xiaoyan Yun
openaire   +1 more source

MSˆ2: Multi-Document Summarization of Medical Studies [PDF]

open access: yesProceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
To assess the effectiveness of any medical intervention, researchers must conduct a time-intensive and highly manual literature review. NLP systems can help to automate or assist in parts of this expensive process. In support of this goal, we release MS^2 (Multi-Document Summarization of Medical Studies), a dataset of over 470k documents and 20k ...
DeYoung, Jay   +4 more
openaire   +2 more sources

Pre-training of Heterogeneous Graph Neural Networks for Multi-label Document Classification [PDF]

open access: yesJisuanji kexue
Multi-label document classification aims to associate document instances with relevant labels,which has received increasing research attention in recent years.Existing multi-label document classification methods attempt to explore the fusion of ...
WU Jiawei, FANG Quan, HU Jun, QIAN Shengsheng
doaj   +1 more source

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