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<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"
id="docs-internal-guid-e2a50e8d-b03c-2027-b0de-fc362ce620fd"><span
style="font-size:14pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Second
Call for Papers: Special Issue of the journal </span><span
style="font-size:14pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:700;font-style:italic;font-variant:normal;text-decoration:none;vertical-align:baseline;">Computational
Linguistics</span><span
style="font-size:14pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">
on Language in Social Media</span></p>
<br>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">**
Apologies for cross-posting **</span></p>
<br>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">========================================</span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Special
Issue of the journal Computational Linguistics on:</span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Language
in Social Media: Exploiting discourse and other contextual
information</span></p>
<br>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">***
Deadline 15th October 2017 (11:59 pm PST) ***</span></p>
<br>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">For
more details see: <a class="moz-txt-link-freetext"
href="http://www.sfu.ca/%7Emtaboada/coli-si.html">http://www.sfu.ca/~mtaboada/coli-si.html</a></span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">========================================</span><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">
</span></p>
<br>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">**Guest
editors**</span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Farah
Benamara - IRIT, Toulouse University (<a
class="moz-txt-link-abbreviated"
href="mailto:benamara@irit.fr">benamara@irit.fr</a>)</span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Diana
Inkpen - University of Ottawa (<a
class="moz-txt-link-abbreviated"
href="mailto:diana.inkpen@uottawa.ca">diana.inkpen@uottawa.ca</a>)</span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Maite
Taboada - Simon Fraser University (<a
class="moz-txt-link-abbreviated" href="mailto:mtaboada@sfu.ca">mtaboada@sfu.ca</a>)</span></p>
<br>
<p dir="ltr"
style="line-height:1.656;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">**Contact**</span></p>
<p dir="ltr"
style="line-height:1.656;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">socialmedia.coli
AT gmail.com</span></p>
<br>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">**Call
for papers**</span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Social
media content (SMC) is changing the way people interact with
each other and share information, personal messages, and
opinions about situations, objects and past experiences. This
content (ranging from blogs, fora, reviews, and various social
networking sites) has specific characteristics that are often
referred as the five V's: volume, variety, velocity, veracity,
and value. Most of them are short online conversational posts or
comments often accompanied by non-linguistic contextual
information, including metadata such as the social network of
each user and their interactions with other users. Exploiting
the context of a word or a sentence increases the amount of
information we can get from it and enables novel applications.
Such rich contextual information, however, makes natural
language processing (NLP) of SMC a challenging research task.
Indeed, simply applying traditional text mining tools is clearly
sub-optimal, as such methods take into account neither the
interactive dimension nor the particular nature of this data,
which shares properties of both spoken and written language.</span></p>
<br>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Most
research on NLP for social media focuses primarily on
content-based processing of the linguistic information, using
lexical semantics (e.g., discovering new word senses or
multiword expressions) or semantic analysis (opinion extraction,
irony detection, event and topic detection, geo-location
detection) (Londhe et al., 2016; Aiello et al., 2013; Inkpen et
al., 2015; Ghosh et al., 2015). Other research explores the
interactions between content and extra-linguistic or
extra-textual features like time, place, author profiles,
demographic information, conversation thread and network
structure, showing that combining linguistic data with network
and/or user context improves performance over a baseline that
uses only textual information (West et al., 2014; Karoui et al.,
2015; Volkova et al., 2014; Ren et al., 2016).</span></p>
<br>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">We
expect that papers in this special issue will contribute to a
deeper understanding of these interactions from a new
perspective of discourse interpretation. We believe that we are
entering a new age of mining social media data, one that
extracts information not just from individual words, phrases and
tags, but also uses information from discourse and the wider
context. Most of the “big data” revolution in social media
analysis has examined words in isolation, a “bag-of-words”
approach. We believe it is possible to investigate big data, and
social media data in general, by exploiting contextual
information. </span></p>
<br>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">We
encourage submission of papers that address deep issues in
linguistics, computational linguistics and social science. In
particular, our focus is on the exploitation of contextual
information within the text (discourse, argumentation chains)
and extra-linguistic information (social network, demographic
information, geo-location) to improve NLP applications and help
building pragmatic-based NLP systems</span><span
style="font-size:12pt;font-family:Arial;color:#606060;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">.
</span><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">The
special issue aims also to bring researchers that propose new
solutions for processing SMC in various use-cases including
sentiment analysis, detection of offensive content, and
intention detection. These solutions need to be reliable enough
in order to prove their effectiveness against shallow
bag-of-words approaches or content-based approaches alone.</span></p>
<br>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">**Topics
of interest**</span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">We
are particularly interested in submissions that address the
topics below, by leveraging the role of discourse and/or other
contextual information. We believe there are novel and
interesting approaches that can be developed over the next few
years.</span></p>
<br>
<ul style="margin-top:0pt;margin-bottom:0pt;">
<li dir="ltr"
style="list-style-type:disc;font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Lexical
semantic resources, corpora and annotations of semantic and
pragmatic phenomena in social media.</span></p>
</li>
<li dir="ltr"
style="list-style-type:disc;font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">The
role of extra-linguistic information in improving
content-based social media applications.</span></p>
</li>
<li dir="ltr"
style="list-style-type:disc;font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Figurative
language detection (metaphor, irony, sarcasm).</span></p>
</li>
<li dir="ltr"
style="list-style-type:disc;font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Discourse
processing and argumentation mining of social media texts.</span></p>
</li>
<li dir="ltr"
style="list-style-type:disc;font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Pragmatic
phenomena in computational social linguistics.</span></p>
</li>
<li dir="ltr"
style="list-style-type:disc;font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Intention
detection (e.g., intention to purchase a product, or vote
for a particular candidate, but also other behaviours such
as suicide).</span></p>
</li>
<li dir="ltr"
style="list-style-type:disc;font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Detection
of offensive and abusive language.</span></p>
</li>
<li dir="ltr"
style="list-style-type:disc;font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Fake
news detection. Tracking rumours.</span></p>
</li>
</ul>
<br>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">We
also welcome contributions and comparisons on already studied
topics like the following, but submissions need to highlight the
role of discourse and/or other contextual phenomena: </span></p>
<br>
<ul style="margin-top:0pt;margin-bottom:0pt;">
<li dir="ltr"
style="list-style-type:disc;font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Social
structure and position analysis using microblog content; </span></p>
</li>
<li dir="ltr"
style="list-style-type:disc;font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Sentiment/opinion
retrieval, extraction and classification</span></p>
</li>
<li dir="ltr"
style="list-style-type:disc;font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Tracking
and summarization of opinion</span></p>
</li>
<li dir="ltr"
style="list-style-type:disc;font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Emotion
detection.</span></p>
</li>
</ul>
<br>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">**Paper
format and reviewing policy**</span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Papers
should be submitted according to the Computational Linguistics
style:</span><a href="http://cljournal.org/"
style="text-decoration:none;"><span
style="font-size:12pt;font-family:Arial;color:#1155cc;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;">http://cljournal.org/</span></a></p>
<br>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Send
papers using the online submission system: </span><a
href="http://cljournal.org/submissions.html"
style="text-decoration:none;"><span
style="font-size:12pt;font-family:Arial;color:#1155cc;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;">http://cljournal.org/submissions.html</span></a><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">.
In Step 1 of the submission process, please select 'Special
Issue: Language in Social Media' under the 'Journal Section'
heading.</span></p>
<br>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Please
note that papers submitted to a special issue undergo the same
reviewing process as regular papers. Special issues are the same
length as regular issues (at most 5-6 papers) </span><a
href="http://cljournal.org/specialissues.html"
style="text-decoration:none;"><span
style="font-size:12pt;font-family:Arial;color:#1155cc;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;">http://cljournal.org/specialissues.html</span></a><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">.
</span></p>
<br>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">**Deadline**</span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Paper
submission deadline: October 15, 2017 (11:59 pm PST)</span></p>
<br>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">**References**</span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">See
</span><a href="http://www.sfu.ca/%7Emtaboada/coli-si.html"
style="text-decoration:none;"><span
style="font-size:12pt;font-family:Arial;color:#1155cc;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;">http://www.sfu.ca/~mtaboada/coli-si.html</span></a><br>
<br>
<span
style="font-size:12pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">
</span></p>
<pre class="moz-signature" cols="72">--
Maite Taboada
Professor
Department of Linguistics
Simon Fraser University
8888 University Dr.
Burnaby, BC, V5A 1S6, Canada
Tel +1-778-782-5585
<a class="moz-txt-link-abbreviated" href="mailto:mtaboada@sfu.ca">mtaboada@sfu.ca</a>
<a class="moz-txt-link-freetext" href="http://www.sfu.ca/%7Emtaboada">http://www.sfu.ca/~mtaboada</a>
</pre>
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