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Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies [article]

Max Grusky, Mor Naaman, Yoav Artzi
2020 arXiv   pre-print
We analyze the extraction strategies used in NEWSROOM summaries against other datasets to quantify the diversity and difficulty of our new data, and train existing methods on the data to evaluate its utility  ...  Extracted from search and social media metadata between 1998 and 2017, these high-quality summaries demonstrate high diversity of summarization styles.  ...  Acknowledgements This work is funded by Oath as part of the Connected Experiences Laboratory and by a Google Research Award. We thank the anonymous reviewers for their feedback.  ... 
arXiv:1804.11283v2 fatcat:d6egjf6axvax7pr6ku6mzma6we

Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies

Max Grusky, Mor Naaman, Yoav Artzi
2018 Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)  
We analyze the extraction strategies used in NEWSROOM summaries against other datasets to quantify the diversity and difficulty of our new data, and train existing methods on the data to evaluate its utility  ...  Extracted from search and social media metadata between 1998 and 2017, these high-quality summaries demonstrate high diversity of summarization styles.  ...  Acknowledgements This work is funded by Oath as part of the Connected Experiences Laboratory and by a Google Research Award. We thank the anonymous reviewers for their feedback.  ... 
doi:10.18653/v1/n18-1065 dblp:conf/naacl/GruskyNA18 fatcat:xx2jqc62tjfufecbjrbpheoipi

A Statistical Approach to perform Web Based Summarization

Kirti Bhatia
2012 IOSR Journal of Computer Engineering  
Sentences are ranked and extracted based on their semantic relationships significance values. The objective of this research is thus to propose a statistical approach to text summarization.  ...  Over the past decade more and more users of the Internet rely on the search engines to help them find the information they need.  ...  Non-extractive summarization includes dynamic reformulation of the extracted content, involving a deeper understanding of the input text, and is therefore limited to small domains while generic summaries  ... 
doi:10.9790/0661-0160103 fatcat:g7vdz4wuyjgdfdfhznzf5nicba

MMDF2018 Workshop Report [article]

Chun-An Chou, Xiaoning Jin, Amy Mueller, Sarah Ostadabbas
2018 arXiv   pre-print
Driven by the recent advances in smart, miniaturized, and mass produced sensors, networked systems, and high-speed data communication and computing, the ability to collect and process larger volumes of  ...  practitioners across a wide variety of disciplines must still follow a trial-and-error process to identify the optimum procedure for each individual application and data sources.  ...  Kramer), and College of Engineering (and the Dean of Engineering, Professor Nadine Aubry) for providing invaluable support with funds, organization, and logistics.  ... 
arXiv:1808.10721v1 fatcat:w4pmt5vqgvcn7nltkisitjpyam

A Brief Review on Blind Image Quality Evaluation Methods

Sushilkumar N., Ulhas B., Priyanka M.
2017 International Journal of Computer Applications  
The human eyes extract structural information from the viewing field, so the human visual system is highly adapted for this purpose.  ...  It concerned with how image is perceived by a viewer and gives his or her opinion on a particular image and judge quality of the multimedia content.  ...  It extract image quality-related statistical features in both the spatial and frequency domains.  ... 
doi:10.5120/ijca2017913550 fatcat:tw4gejh74neipm25ws6s4vqk4a

Human Factors Research for Space Exploration: Measurement, Modeling, and Mitigation

Mary K. Kaiser, Christopher S. Allen, Immanuel Barshi, Dorrit Billman, Kritina L. Holden
2010 Proceedings of the Human Factors and Ergonomics Society Annual Meeting  
When successful, we decrease risks to crew safety and to mission success. When extremely successful (or lucky), we devise generalizable solutions that advance the state of our practice.  ...  Further, we strive to extract the overarching core HF issues from the point-designspecific concerns that capture the operators' (and managers') attention.  ...  When successful, we decrease risks to crew safety and to mission success. When extremely successful (or lucky), we devise generalizable solutions that advance the state of our practice.  ... 
doi:10.1177/154193121005400130 fatcat:v4z2a5qacfcfzdsicxcq4aybte

Modern Multi-Document Text Summarization Techniques

2020 International journal of recent technology and engineering  
This paper in its entirety condenses and interprets the numerous approaches, merits and limitations of these techniques.  ...  The Benchmark datasets of this domain and their features have also been examined.  ...  The system is successful in tackling the main issue of redundant information in multidocument summarization to a great extent and outperforms all the other existent systems.  ... 
doi:10.35940/ijrte.a1945.059120 fatcat:evc3i323wjhlxkavul3clysaha

Seek for Success: A Visualization Approach for Understanding the Dynamics of Academic Careers [article]

Yifang Wang, Tai-Quan Peng, Huihua Lu, Haoren Wang, Xiao Xie, Huamin Qu, Yingcai Wu
2021 arXiv   pre-print
domain called the Science of Science (i.e., SciSci).  ...  We propose ACSeeker, an interactive visual analytics approach to explore the potential factors of success and how the influence of multiple factors changes at different stages of academic careers.  ...  We use their career, domain, and sector sequences as social factors. It allows us to quantify how a researcher's collaborators can influence his career success.  ... 
arXiv:2108.03381v2 fatcat:35vlbzsmfvgupctfrledshdice

End-to-end Semantics-based Summary Quality Assessment for Single-document Summarization [article]

Forrest Sheng Bao, Hebi Li, Ge Luo, Cen Chen, Yinfei Yang, Youbiao He, Minghui Qiu
2021 arXiv   pre-print
The proposed approach exhibits promising results on several summarization datasets of various domains including news, legislative bills, scientific papers, and patents.  ...  Existing efforts to address the two drawbacks are done separately and have limitations.  ...  ACKNOWLEDGMENTS Bao, Li, and Luo's work in this paper was partially supported by NSF grants CNS-1817089 and MCB-1821828.  ... 
arXiv:2005.06377v2 fatcat:6p2d3ise2vg47lordxqz3bw6ia

The Requirement of Genetic Diagnostic Technologies for Environmental Surveillance of Antimicrobial Resistance

Karine Caron, Pascal Craw, Mark B. Richardson, Levente Bodrossy, Nicolas H. Voelcker, Helmut Thissen, Tara D. Sutherland
2021 Sensors  
While the primary cost of AMR is paid in the healthcare domain, the agricultural and environmental domains are also reservoirs of resistant microorganisms and hence perpetual sources of AMR infections  ...  In this feature, we discuss the limitations of currently available AMR sensing technologies used in the clinic for sensing in other environments, and what is required to overcome these limitations.  ...  We are not aware of any quantitative DNA detection method that has a limit of detection and range to match the levels of ARGs across all environments.  ... 
doi:10.3390/s21196625 pmid:34640944 fatcat:qurx5yrkebakrjqsdhcwuqfuz4

Data-driven filtration and segmentation of mesoscale neural dynamics [article]

Sydney C Weiser, Brian R Mullen, Desiderio Ascencio, James B Ackman
2021 bioRxiv   pre-print
Video recordings of cerebral function comes with challenges, including optical and movement-associated vessel artifacts, and limited references for time series extraction.  ...  Here we present a data-driven workflow that isolates artifacts from calcium activity patterns, and segments independent functional units across the cortical surface.  ...  All recordings, metric extractions, mean frequency analysis, and domain assignments were performed by B.R.M. Control wavelet analysis was assisted by D.A.  ... 
doi:10.1101/2020.12.30.424865 fatcat:47ciujjfnnasrgmbzkhjvsjuty

A hybrid system for distortion classification and image quality evaluation

Aladine Chetouani, Azeddine Beghdadi, Mohamed Deriche
2012 Signal processing. Image communication  
Numerous Image Quality Measures (IQMs) have been proposed in the literature with different degrees of success.  ...  The proposed system is developed to cover a very large set of possible degradations commonly found in practical applications.  ...  Acknowledgments The authors wish to thank l'Université Paris 13, France, and King Fahd University of Petroleum & Minerals, Saudi Arabia, for supporting the work presented in this paper.  ... 
doi:10.1016/j.image.2012.06.001 fatcat:sdxsnvsbivhbte7lwbzty6eena

NLP Research and Resources at DaSciM, Ecole Polytechnique [article]

Hadi Abdine, Yanzhu Guo, Moussa Kamal Eddine, Giannis Nikolentzos, Stamatis Outsios, Guokan Shang, Christos Xypolopoulos, Michalis Vazirgiannis
2021 arXiv   pre-print
The group has been specifically active in the area of NLP and text mining with interesting results at methodological and resources level.  ...  DaSciM (Data Science and Mining) part of LIX at Ecole Polytechnique, established in 2013 and since then producing research results in the area of large scale data analysis via methods of machine and deep  ...  Word Senses and Disambiguation The number of senses of a given word, or polysemy, is a very subjective notion, which varies widely across annotators and resources.  ... 
arXiv:2112.00566v1 fatcat:dcmwpwdwc5emti6jcflqq5ib4a

Domain Adversarial Transfer Learning for Generalized Tool Wear Prediction

Peng (Edward) Wang, Matthew Russell
2020 Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM  
classifier across the source and target data sets (i.e., maximizing the similarity of source and target features).  ...  However, successful implementation of DL techniques relies greatly on the amount, variety, and veracity of data for robust network training.  ...  Several methods have been proposed for feature generalization of DL models across the source domain and the target domain.  ... 
doi:10.36001/phmconf.2020.v12i1.1137 fatcat:j4rpmcee6ncnvng74zxbu4n2xu

Model-Reuse Attacks on Deep Learning Systems [article]

Yujie Ji, Xinyang Zhang, Shouling Ji, Xiapu Luo, Ting Wang
2018 arXiv   pre-print
The increasing use of primitive models significantly simplifies and expedites the development cycles of ML systems.  ...  Many of today's machine learning (ML) systems are built by reusing an array of, often pre-trained, primitive models, each fulfilling distinct functionality (e.g., feature extraction).  ...  Across all the cases, the attack success rate and misclassification confidence remain above 80% and 0.845.  ... 
arXiv:1812.00483v1 fatcat:2q5nbd3pdng7rk7icbuw3lwc2u
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