Scimago Journal & Country Rank

NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference

Country United States  - SIR icon SIR Ranking of United States
H Index
Subject Area and CategoryComputer Science
Computer Networks and Communications
Computer Science Applications

Engineering (miscellaneous)
Publication typeConferences and Proceedings
Scope Welcome to the 2015 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies or NAACL HLT 2015 for short. This year, we received the largest number of submissions in the history of NAACL: a total of 714 submissions with 402 long paper submissions and 312 short papers submissions. From these, 117 long papers (62 oral presentations and 55 poster presentations) and 69 short papers (24 oral presentations and 45 poster presentations) were accepted to appear at the conference. The submissions to NAACL HLT 2015 were assigned to 18 technical areas including a new topic area called Language and Vision. This track was introduced with an intent to broaden research on natural language processing that is situated in a rich visual and perceptual context. We received 16 submissions for this area and seven of them will be presented at the conference. For NAACL HLT 2015 we initiated a meta review process, where each paper received an analysis of the merits of the paper from the area chair’s perspective that was based on the reviewer comments, the reviewer discussion and the author rebuttal. We found the meta reviews very helpful in consolidating the reviews and providing justifications for final decisions. As this was an experiment this year, the meta reviews were not sent to the authors. Based on comments from reviewers, nominations from area chairs, and rankings from the best paper committee, three papers were selected to receive the best paper awards at the conference. Continuing the tradition, NAACL HLT 2015 will feature 19 papers which were accepted for publication in the Transactions of the Association for Computational Linguistics (TACL). The TACL papers were split into 10 oral presentations and 9 poster presentatons.


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The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.

Citations per document

This indicator counts the number of citations received by documents from a journal and divides them by the total number of documents published in that journal. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric.

Cites per documentYearValue
Cites / Doc. (4 years)20150.000
Cites / Doc. (4 years)20164.554
Cites / Doc. (4 years)20174.694
Cites / Doc. (4 years)20184.489
Cites / Doc. (3 years)20150.000
Cites / Doc. (3 years)20164.554
Cites / Doc. (3 years)20174.694
Cites / Doc. (3 years)20184.489
Cites / Doc. (2 years)20150.000
Cites / Doc. (2 years)20164.554
Cites / Doc. (2 years)20174.694
Cites / Doc. (2 years)20180.000
Total Cites 

Evolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years.
Journal Self-citation is defined as the number of citation from a journal citing article to articles published by the same journal.

Self Cites20150
Self Cites20160
Self Cites20170
Self Cites20180
Total Cites20150
Total Cites2016847
Total Cites2017873
Total Cites2018835
External Cites per Doc 
Cites per Doc

Evolution of the number of total citation per document and external citation per document (i.e. journal self-citations removed) received by a journal's published documents during the three previous years. External citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents.

External Cites per document20150
External Cites per document20164.554
External Cites per document20174.694
External Cites per document20184.489
Cites per document20150.000
Cites per document20164.554
Cites per document20174.694
Cites per document20184.489
% International Collaboration

International Collaboration accounts for the articles that have been produced by researchers from several countries. The chart shows the ratio of a journal's documents signed by researchers from more than one country; that is including more than one country address.

YearInternational Collaboration
Citable documents 
Non-citable documents

Not every article in a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research (research articles, conference papers and reviews) in three year windows vs. those documents other than research articles, reviews and conference papers.

Non-citable documents20150
Non-citable documents20163
Non-citable documents20173
Non-citable documents20183
Citable documents20150
Citable documents2016186
Citable documents2017186
Citable documents2018186
Cited documents 
Uncited documents

Ratio of a journal's items, grouped in three years windows, that have been cited at least once vs. those not cited during the following year.

Uncited documents20150
Uncited documents201643
Uncited documents201739
Uncited documents201857
Cited documents20150
Cited documents2016146
Cited documents2017150
Cited documents2018132
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