Author image not provided
 Andrew Yates

 homepage

  Affiliation history
Bibliometrics: publication history
Average citations per article2.08
Citation Count25
Publication count12
Publication years2010-2016
Available for download7
Average downloads per article154.57
Downloads (cumulative)1,082
Downloads (12 Months)160
Downloads (6 Weeks)22
Student ACM Member
SEARCH
ROLE
Arrow RightAuthor only


AUTHOR'S COLLEAGUES
See all colleagues of this author

SUBJECT AREAS
See all subject areas




BOOKMARK & SHARE


13 results found Export Results: bibtexendnoteacmrefcsv

Result 1 – 13 of 13
Sort by:

1
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: 0
Downloads (6 Weeks): 2,   Downloads (12 Months): 21,   Downloads (Overall): 21

Full text available: PDFPDF
To deploy deep learning models for ad-hoc information retrieval, suitable representations of query-document pairs are needed. Such representations ought to capture all relevant information required to assess the relevance of a document for a given query, including uni-gram term overlap as well as positional information such as proximity and term ...
Keywords: representation, relevance matching, similarity matrix, neural information retrieval, position-aware

2
April 2016 Information Retrieval: Volume 19 Issue 1-2, April 2016
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 3

The majority of Internet users search for medical information online; however, many do not have an adequate medical vocabulary. Users might have difficulties finding the most authoritative and useful information because they are unfamiliar with the appropriate medical expressions describing their condition; consequently, they are unable to adequately satisfy their ...
Keywords: Query clarification, Health search, Personalized search, Medical informatics

3
January 2015 AAAI'15: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence
Publisher: AAAI Press
Bibliometrics:
Citation Count: 5

The potential benefits of mining social media to learn about adverse drug reactions (ADRs) are rapidly increasing with the increasing popularity of social media. Unknown ADRs have traditionally been discovered by expensive post-marketing trials, but recent work has suggested that some unknown ADRs may be discovered by analyzing social media. ...

4 published by ACM
September 2014 BCB '14: Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 2,   Downloads (12 Months): 9,   Downloads (Overall): 58

Full text available: PDFPDF
Recent interest in search tools for Clinical Decision Support (CDS) has dramatically increased. These tools help clinicians assess a medical situation by providing actionable information in the form of a select few highly relevant recent medical papers. Unlike traditional search, which is designed to deal with short queries, queries in ...

5
April 2014 ECIR 2014: Proceedings of the 36th European Conference on IR Research on Advances in Information Retrieval - Volume 8416
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 0

Interest in domain-specific search is growing rapidly, creating a need for domain-specific synonym discovery. The best-performing methods for this task rely on query logs and are thus difficult to use in many circumstances. We propose a method for domain-specific synonym discovery that requires only a domain-specific corpus. Our method substantially ...
Keywords: Synonym discovery, domain-specific search, thesaurus construction

6
April 2014 ECIR 2014: Proceedings of the 36th European Conference on IR Research on Advances in Information Retrieval - Volume 8416
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 0

Interest in domain-specific search is growing rapidly, creating a need for domain-specific synonym discovery. The best-performing methods for this task rely on query logs and are thus difficult to use in many circumstances. We propose a method for domain-specific synonym discovery that requires only a domain-specific corpus. Our method substantially ...
Keywords: Synonym discovery, domain-specific search, thesaurus construction

7 published by ACM
December 2013 ACSAC '13: Proceedings of the 29th Annual Computer Security Applications Conference
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 9,   Downloads (Overall): 118

Full text available: PDFPDF
This paper introduces Senser, a system for validating retrieved web content. Senser does not rely on a PKI and operates even when SSL/TLS is not supported by the web server . Senser operates as a network of proxies located at different vantage points on the Internet. Clients query a random ...

8
November 2013 ASIST '13: Proceedings of the 76th ASIS&T Annual Meeting: Beyond the Cloud: Rethinking Information Boundaries
Publisher: American Society for Information Science
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 3,   Downloads (12 Months): 19,   Downloads (Overall): 89

Full text available: PDFPDF
Document level sentiment analysis, the task of determining whether the sentiment expressed in a document is positive or negative, is commonly performed by supervised methods. As with all supervised tasks, obtaining training data for these methods can be expensive and time-consuming. Some semi-supervised approaches have been proposed that rely on ...
Keywords: semi-supervised classification, sentiment analysis

9 published by ACM
August 2013 ASONAM '13: Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Publisher: ACM
Bibliometrics:
Citation Count: 4
Downloads (6 Weeks): 7,   Downloads (12 Months): 60,   Downloads (Overall): 319

Full text available: PDFPDF
Traditional public health surveillance requires regular clinical reports and considerable effort by health professionals to analyze data. Therefore, a low cost alternative is of great practical use. As a platform used by over 500 million users worldwide to publish their ideas about many topics, including health conditions, Twitter provides researchers ...
Keywords: Twitter, health surveillance, Wikipedia, item-set mining

10 published by ACM
May 2013 WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide Web
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 2,   Downloads (12 Months): 8,   Downloads (Overall): 73

Full text available: PDFPDF
Interest in domain-specific search is steadfastly increasing, yielding a growing need for domain-specific synonym discovery. Existing synonym discovery methods perform poorly when faced with the realistic task of identifying a target term's synonyms from among many candidates. We approach domain-specific synonym discovery as a graded relevance ranking problem in which ...
Keywords: domain-specific search, synonym discovery, thesaurus construction, domain-specific thesaurus construction

11
March 2013 ECIR'13: Proceedings of the 35th European conference on Advances in Information Retrieval
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 13

We automatically extract adverse drug reactions (ADRs) from consumer reviews provided on various drug social media sites to identify adverse reactions not reported by the United States Food and Drug Administration (FDA) but touted by consumers. We utilize various lexicons, identify patterns, and generate a synonym set that includes variations ...

12 published by ACM
August 2012 SIGIR '12: Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 3,   Downloads (12 Months): 26,   Downloads (Overall): 197

Full text available: PDFPDF
Many websites encourage people to submit reviews of various products and services. We present and evaluate a novel approach to efficiently model and analyze the text within user reviews to estimate how much reviewers care about different aspects of a product (i.e., amenities, food, location, room, etc. of a hotel). ...
Keywords: aspect ranking, opinion and sentiment analysis, review mining

13 published by ACM
April 2010 WWW '10: Proceedings of the 19th international conference on World wide web
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 2,   Downloads (12 Months): 8,   Downloads (Overall): 207

Full text available: PDFPDF  PrcPrc  ePubePub
An increasing amount of Web information is in video format. Today's search technology allows videos to be found using graphical features and textual descriptions. However, the information gleaned from video features is coarse, while textual descriptions are often short and fail to capture the precise content of videos. We hypothesize ...
Keywords: annotations, search



The ACM Digital Library is published by the Association for Computing Machinery. Copyright © 2017 ACM, Inc.
Terms of Usage   Privacy Policy   Code of Ethics   Contact Us