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 Pawan Goyal

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Average citations per article2.80
Citation Count42
Publication count15
Publication years2014-2017
Available for download14
Average downloads per article307.29
Downloads (cumulative)4,302
Downloads (12 Months)1,638
Downloads (6 Weeks)290
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23 results found Export Results: bibtexendnoteacmrefcsv

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1 published by ACM
July 2018 ACM Transactions on the Web (TWEB): Volume 12 Issue 3, July 2018
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 39,   Downloads (12 Months): 39,   Downloads (Overall): 39

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Microblogging sites like Twitter have become important sources of real-time information during disaster events. A large amount of valuable situational information is posted in these sites during disasters; however, the information is dispersed among hundreds of thousands of tweets containing sentiments and opinions of the masses. To effectively utilize microblogging ...
Keywords: Disasters, classification, content words, microblogs, situational tweets, summarization, twitter

2 published by ACM
June 2018 SIGIR '18: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 100,   Downloads (12 Months): 157,   Downloads (Overall): 157

Full text available: PDFPDF
In recent times, humanitarian organizations increasingly rely on social media to search for information useful for disaster response. These organizations have varying information needs ranging from general situational awareness (i.e., to understand a bigger picture) to focused information needs e.g., about infrastructure damage, urgent needs of affected people. This research ...
Keywords: class-based summarization, high-level summarization, humanitarian classes, situational information, sub-event detection

3 published by ACM
May 2018 JCDL '18: Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 6,   Downloads (12 Months): 20,   Downloads (Overall): 20

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In this paper, we present preliminary results on a novel task of extracting comparison points for a pair of entities from the text articles describing them. The task is challenging as comparison points in a typical pair of articles tend to be sparse. We presented a multi-level document analysis (viz. ...
Keywords: comparison extraction, entity comparison, information extraction

4 published by ACM
January 2018 GROUP '18: Proceedings of the 2018 ACM Conference on Supporting Groupwork
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 6,   Downloads (12 Months): 65,   Downloads (Overall): 65

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In this paper, we investigate the problem of building automatic classifiers to categorize opinions and facts into appropriate subcategories. While working on two English News article datasets and two social media datasets (Twitter hashtag idioms and Youtube comments), we achieve consistent performance with accuracies in the range of 70-85% for ...
Keywords: fact classification, opinion classification, opinion-fact diversity

5 published by ACM
December 2017 WOSP 2017: Proceedings of the 6th International Workshop on Mining Scientific Publications
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 26,   Downloads (Overall): 26

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This paper presents AppTechMiner, a rule-based information extraction framework that automatically constructs a knowledge base of all application areas and problem solving techniques. Techniques include tools, methods, datasets or evaluation metrics. We also categorize individual research articles based on their application areas and the techniques proposed/improved in the article. Our ...
Keywords: computational linguistic, application area, Information extraction, techniques

6 published by ACM
November 2017 CIKM '17: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 17,   Downloads (12 Months): 107,   Downloads (Overall): 107

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This paper presents a deep learning based approach to extract product comparison information out of user reviews on various e-commerce websites. Any comparative product review has three major entities of information: the names of the products being compared, the user opinion (predicate) and the feature or aspect under comparison. All ...
Keywords: comparison mining, deep learning, opinion extraction

7 published by ACM
August 2017 WI '17: Proceedings of the International Conference on Web Intelligence
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 6,   Downloads (12 Months): 87,   Downloads (Overall): 87

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The current study presents a two-stage question retrieval approach which, in the first phase, retrieves similar questions for a given query using a deep learning based approach and in the second phase, re-ranks initially retrieved questions on the basis of inter-question similarities. The suggested deep learning based approach is trained ...
Keywords: re-ranking, question retrieval, community question answering

8 published by ACM
August 2017 KDD '17: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 9,   Downloads (12 Months): 179,   Downloads (Overall): 179

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The rate at which nodes in evolving social networks acquire links (friends, citations) shows complex temporal dynamics. Preferential attachment and link copying models, while enabling elegant analysis, only capture rich-gets-richer effects, not aging and decline. Recent aging models are complex and heavily parameterized; most involve estimating 1-3 parameters per node ...
Keywords: aging models, network growth models, relay-link

9 published by ACM
July 2017 ASONAM '17: Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 3,   Downloads (12 Months): 46,   Downloads (Overall): 46

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Social list queries like 'valentines day gift ideas', 'best anniversary messages for your parents', etc. are quite popular on web search engines. Users expect instant answers comprising of a list of relevant items (social list) for such a query. Surprisingly, current search engines do not provide any crisp instant answers ...

10
June 2017 JCDL '17: Proceedings of the 17th ACM/IEEE Joint Conference on Digital Libraries
Publisher: IEEE Press
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 4,   Downloads (12 Months): 11,   Downloads (Overall): 11

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This paper explores an interesting new dimension to the challenging problem of predicting long-term scientific impact ( LTSI ) usually measured by the number of citations accumulated by a paper in the long-term. It is well known that early citations (within 1--2 years after publication) acquired by a paper positively ...
Keywords: early citers, long-term scientific impact, citation count, supervised regression models

11
June 2017 JCDL '17: Proceedings of the 17th ACM/IEEE Joint Conference on Digital Libraries
Publisher: IEEE Press
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 3,   Downloads (12 Months): 12,   Downloads (Overall): 12

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In order to disseminate the exponential extent of knowledge being produced in the form of scientific publications, it would be best to design mechanisms that connect it with already existing rich repository of concepts - the Wikipedia. Not only does it make scientific reading simple and easy (by connecting the ...
Keywords: citation network, entity linking, mention extraction, scientific article, metapath, wikification, author publication network

12
June 2017 JCDL '17: Proceedings of the 17th ACM/IEEE Joint Conference on Digital Libraries
Publisher: IEEE Press
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 3,   Downloads (12 Months): 8,   Downloads (Overall): 8

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Our current knowledge of scholarly plagiarism is largely based on the similarity between full text research articles. In this paper, we propose an innovative and novel conceptualization of scholarly plagiarism in the form of reuse of explicit citation sentences in scientific research articles. Note that while full-text plagiarism is an ...
Keywords: citation context, plagiarism, text reuse

13
April 2017 WWW '17 Companion: Proceedings of the 26th International Conference on World Wide Web Companion
Publisher: International World Wide Web Conferences Steering Committee
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 11,   Downloads (12 Months): 115,   Downloads (Overall): 149

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In this paper, we build a generic opinion-fact classifier to detect opinions and facts from online news articles and social media datasets such as Youtube comments and idiom hashtags. We further use this classification model to compare opinionatedness of various news article sections. The proposed classifier produces better results than ...
Keywords: fact detection, opinion detection, text classification

14 published by ACM
February 2017 CSCW '17 Companion: Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 9,   Downloads (12 Months): 99,   Downloads (Overall): 182

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Online deception is a prevalent phenomena in social media. Creation of sockpuppets are one of the ways of online deception. The detection of such accounts are very important and crucial. We study various tweets and profile based features and propose an automated framework to early detect sockpuppet accounts in Twitter. ...
Keywords: classification, social media, sockpuppet

15 published by ACM
October 2016 CIKM '16: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 11,   Downloads (12 Months): 46,   Downloads (Overall): 118

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While purchasing a product, consumers often rely on specifications as well as online reviews of the product for decision-making. While comparing, one often has in mind a specific aspect or a set of aspects which are of interest to them. Previous work has used comparative sentences, where two entities are ...
Keywords: comparison mining, decision support systems

16 published by ACM
July 2016 HT '16: Proceedings of the 27th ACM Conference on Hypertext and Social Media
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 11,   Downloads (12 Months): 118,   Downloads (Overall): 285

Full text available: PDFPDF
During mass convergence events such as natural disasters, microblogging platforms like Twitter are widely used by affected people to post situational awareness messages. These crisis-related messages disperse among multiple categories like infrastructure damage, information about missing, injured, and dead people etc. The challenge here is to extract important situational updates ...
Keywords: classification, twitter, disaster events, situational information, summarization

17
April 2016 PAKDD 2016: Proceedings, Part II, of the 20th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining - Volume 9652
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

The overwhelming number of scientific articles over the years calls for smart automatic tools to facilitate the process of literature review. Here, we propose for the first time a framework of faceted recommendation for scientific articles abbreviated as FeRoSA which apart from ensuring quality retrieval of scientific articles for a ...

18 published by ACM
October 2015 CIKM '15: Proceedings of the 24th ACM International on Conference on Information and Knowledge Management
Publisher: ACM
Bibliometrics:
Citation Count: 9
Downloads (6 Weeks): 14,   Downloads (12 Months): 121,   Downloads (Overall): 401

Full text available: PDFPDF
Microblogging sites like Twitter have become important sources of real-time information during disaster events. A significant amount of valuable situational information is available in these sites; however, this information is immersed among hundreds of thousands of tweets, mostly containing sentiments and opinion of the masses, that are posted during such ...
Keywords: classification, disaster events, situational information, summarization, twitter

19 published by ACM
October 2015 CIKM '15: Proceedings of the 24th ACM International on Conference on Information and Knowledge Management
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 11,   Downloads (12 Months): 50,   Downloads (Overall): 236

Full text available: PDFPDF
The impact and significance of a scientific publication is measured mostly by the number of citations it accumulates over the years. Early prediction of the citation profile of research articles is a significant as well as challenging problem. In this paper, we argue that features gathered from the citation contexts ...
Keywords: citation context, citation prediction, long-term impact, stratified learning

20 published by ACM
August 2015 Communications of the ACM: Volume 58 Issue 9, September 2015
Publisher: ACM
Bibliometrics:
Citation Count: 8
Downloads (6 Weeks): 6,   Downloads (12 Months): 175,   Downloads (Overall): 1,184

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A new dynamic growth model reveals how citation networks evolve over time, pointing the way toward reformulated scientometrics.



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