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Given this context and these user needs, Natural Language Processing (NLP) provides the appropriate mechanisms that allow people to automatically deal with Web textual information, speeding up and simplifying ... Although both versions were shown to be reliable methods for generating this type of summaries, the results obtained indicate that the version without sentence regeneration yielded to better results, improving ... We hypothesize that in such an environment the natural language generation tools should perform better and improve the performance of the regeneration approach. ...doi:10.1016/j.eswa.2015.05.026 fatcat:ivt2rz7xmzaznikb6zt56hoggm
Radev and McKeown Generating Natural Language Summaries et al. 1992), and the use of concept-based pattern matchers that use semantic concepts as pattern categories as well as part-of-speech information ... At least four previous systems developed elsewhere use natural language to sum- 475 ...
Existing techniques of extractive text summarization extract important sentences from original document and generate summary without any modification of actual data. ... Automatic text summarization provides solution by generating summary automatically. Text summarization techniques classified into extractive and abstractive text summarization types. ... Once the clusters obtained, top scored PASs obtained using simple natural language generation and a simple heuristic rules form to generate summary sentences from PASs. ...doi:10.5281/zenodo.1252402 fatcat:6khvqb535jamdnk3abc4jra3ui
In this work, we introduce a new dataset and present a neural model for automatically generating natural language summaries for charts. ... We found that our approach outperforms the base model on a content selection metric by a wide margin (55.42% vs. 8.49%) and generates more informative, concise, and coherent summaries. ... Acknowledgments This work was supported by the Natural Sciences and Engineering Research Council (NSERC), Canada. We thank Dhruv Nayyar for helping with preparing the datset. ...arXiv:2010.09142v2 fatcat:k6k7bwoyxfgbta2speu4c7yyhe
Generating summaries of multiple news articles. In Proceedings of SIGIR, Seattle, WA, July. McKeown, K., J. Robin, and K. Kukich. 1995. Generating concise natural language summaries. ... Generating summaries of workflow diagrams. In Proceedings of the International Conference on Natural Language Processing and Industrial Applications (NLP-IA’96), Moncton, New Brunswick, Canada. ...
We propose two techniques to improve the level of abstraction of generated summaries. ... First, we decompose the decoder into a contextual network that retrieves relevant parts of the source document, and a pretrained language model that incorporates prior knowledge about language generation ... Including mechanisms to promote paraphrase generation in the summary generator could be an interesting direction. ...doi:10.18653/v1/d18-1207 dblp:conf/emnlp/KryscinskiPXS18 fatcat:5hmv4qlbhjfvxdq5vbkg4uesoe
We exploit user-generated content from reviews and microblogs in different domains, and compile and analyse four types of ultra-concise summaries: a) positive information, b) negative information; c) both ... Our research proposes an approach towards the production of automatic ultraconcise summaries from multiple Web 2.0 sources. ... Ultra-concise Summary Generation To the best of our knowledge, this is one of the first attempts aiming at generating this new type of summaries starting from text sources of different nature (i.e., multi-genre ...doi:10.18653/v1/w17-1006 dblp:conf/acl-multiling/LloretBMP17 fatcat:d3pl4qu2qvg27coticycu4cvyi
This book provides a concise summary of the elements of organic chemistry and gives one a general survey of the essential interesting elementary facts about the compounds of carbon. ... A Concise Summary of Elementary Organic Chemistry 1929 Frederick H. Constable—149 pages—$2.00—E. P. Dutton & Company, Ine. ...
Document Summarization focuses in generating integrated list of summaries for dense information that have long readability. ... Considering the lexical indices, the summary of the document is more close to POS tagger in the proposed approach. I. ... The summarization is investigated through Natural Language Processing (NLP) community. Therefore the summary generation is according to either focusing on users, or topic or query. ...doi:10.22214/ijraset.2018.4646 fatcat:qjkyys66ubeprhtt6fuhyts4ye
Given the signature and body of a method, our automatic comment generator identifies the content for the summary and generates natural language text that summarizes the method's overall actions. ... According to programmers who judged our generated comments, the summaries are accurate, do not miss important content, and are reasonably concise. ... The system takes a method signature and body as input and outputs a natural language summary comment for the method. ...doi:10.1145/1858996.1859006 dblp:conf/kbse/SridharaHMPV10 fatcat:jiqts2grzvellagzipqcc7joti
We propose two techniques to improve the level of abstraction of generated summaries. ... First, we decompose the decoder into a contextual network that retrieves relevant parts of the source document, and a pretrained language model that incorporates prior knowledge about language generation ... Including mechanisms to promote paraphrase generation in the summary generator could be an interesting direction. ...arXiv:1808.07913v1 fatcat:jjw2ouhs4vao5lraufx2m2z56e
It is a natural generalization of an L code, which was discussed by Saloma, Maurer, and Honkala. The class of L codes is strictly included in the class of F codes. ... Summary (translated from the Russian): “This paper is the first part of a work whose main result is a generalization of regular expressions that specify all CF-languages and only these languages. ...
By fully elaborating current approaches in the field, our work sheds light on future research directions of program comprehension and comment generation. ... We exhaustively investigated and described the data extraction techniques, description generation methods, evaluation methods and relevant artifacts of those works. ... Then the comment can be used to generate a summary. 4) Natural Language Process Natural Language Process (NLP) is a technology which can analyze natural language data, identify different components in ...arXiv:1909.04352v2 fatcat:xdxfdihcdfhbfnnilc2ofif4le
Summarization is to produce short and concise summaries. The paper presents the review of the state of the art of summarization techniques in software engineering context. ... The paper briefly describes the general process of summarization. The paper reviews the papers published from 2010 to June 2017 and classifies the works into extractive and abstractive summarization. ...  have created a tool called CrowdSummarizer which uses crowdsourcing, gamification and natural language processing to generate the accurate and comprehensive natural language summaries for java ...doi:10.5121/ijcsit.2017.9512 fatcat:4unydg54tbh6ji7hstvixyfrsm
In this paper, we are proposing an architecture that utilizes image/video captioning methods and Natural Language Processing systems to generate a title and a concise abstract for a video. ... together with text summarization; and finally, a title and an abstract are generated for the video. ... Text summarization  is the task of generating a concise and fluent summary for a document(s) while preserving key information content. ...arXiv:2104.03337v1 fatcat:djot6uybhzel5csgw64jn6pw6a
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