Computational Linguistics Lab @ QMUL; language, meaning, social media, web searches, dialogue systems, creativity, mental health,...
London, UK
Joined April 2020
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Computational Linguistics @ QMUL retweeted
📑new paper on the generalisability of abusive language detection models and the role of slurs and profanity in training!
💭non-abusive swearing and implicit abuse are often confusing for models. _how_ do such biases come into play?
💡open access on:
sciencedirect.com/science/ar…
Computational Linguistics @ QMUL retweeted
Nice blog post @BBCRD by @QMCompLing 's very own Iacopo Ghinassi - read about his work in topic segmenation #NLProc
EECS PhD student, Iacopo Ghinassi, has been working with @BBCRD to explore ways to segment and annotate media content without direct human effort.
The project is part of the DAME doctoral training programme sponsored by the BBC.
Read here: bbc.co.uk/rd/blog/2022-03-ar…
@QMULSciEng
Computational Linguistics @ QMUL retweeted
#NLProc come work with us at @QMCompLing, @QMCompLing, we have multiple Postdoctoral openings. 2 PDRA position in @embeddiaproject and SoDeStream (sodestream.github.io/) projects
Computational Linguistics @ QMUL retweeted
Queen Mary's Professor Shalom Lappin from @QMEECS comments on the case for regulating big tech in this article for @guardiantech 👇
Scared about the threat of AI? It’s the big tech giants that need reining in | Devdatt Dubhashi and Shalom Lappin theguardian.com/commentisfre…
Computational Linguistics @ QMUL retweeted
A snippet from our programme on December 8th:
@mpurver from @QMCogSci, @QMUL and Marko Pranjić from @trikoder will present a #comment #filtering and #hatespeech detection demo.
Don't forget to #register!
#embeddiaconference
embeddia.eu/conference/
Computational Linguistics @ QMUL retweeted
We (with @AmaniAbumansour and @arkaitz) have a survey paper on automated fact-checking published on Language and Linguistics Compass! Check it out here: onlinelibrary.wiley.com/doi/…🤩
Computational Linguistics @ QMUL retweeted
Excited to shared our binary step-by-step approach that achieves substantial improvements over the baseline!🍻 No extra data or huge models required!😆
🔵 We (w/ @XiaZeng2) participated in the SCIVER scientific claim verification task at NAACL / SDP.
Here's the paper describing our approach! 👇
arxiv.org/abs/2104.11572
Computational Linguistics @ QMUL retweeted
We have an opening for a lecturer in #NLProc to work with us at @QMEECS @QMCompLing -- apply by 20th May & help spread the word!
webapps2.is.qmul.ac.uk/jobs/…
Computational Linguistics @ QMUL retweeted
Congratulations to Morteza Rohanian and Julian Hough, on their COLING 2020 Outstanding Paper: "Re-framing Incremental Deep Language Models for Dialogue Processing with Multi-task Learning"! @QMCogSci
coling2020.org/2020/11/29/ou…
Computational Linguistics @ QMUL retweeted
We're guest editing 2 special issues:
OSNEM SI on Detecting, Understanding and Countering Online Harms (deadline 15th Nov)
journals.elsevier.com/online…
PUC SI on Intelligent Systems for Tackling Online Harms (deadline 4th Dec)
springer.com/journal/779/upd…
Computational Linguistics @ QMUL retweeted
@bertievidgen @arkaitz @miriam_fs and I are doing an OSNEM special issue on online harms. Please RT this and send us your best papers: journals.elsevier.com/online…
Computational Linguistics @ QMUL retweeted
🗓️ 10 days left to submit to the @coling2020 workshop on Rumours and Deception in Social Media #rdsm2020 #NLProc
pheme.eu/rdsm2020/
Computational Linguistics @ QMUL retweeted
My blog on how methods for longitudinal #NLProc could assist mental health monitoring.
This #MentalHealthAwarenessWeek hits when many of us are on lockdown in response to #COVID19.
In a new blog, AI Fellow @xrysoflhs (@QMUL) describes how #AI and language technology could help when human support is limited during this extraordinary time.
bit.ly/2ZoqhOY
Computational Linguistics @ QMUL retweeted
Join in: #online #lecture on #deeplearning by prof. Shalom Lappin from #embeddia's partner @QMCompLing
Prof Shalom Lappin to give 5-part online lecture series on deep learning & linguistic representation in June, details here: compling.eecs.qmul.ac.uk/nlp… #NLProc #deeplearning
Computational Linguistics @ QMUL retweeted
A good idea to get in touch in advance if interested! #NLProc #PhDposition
Join my @turinginst AI fellowship project and do an PhD in Longitudinal #NLProc methods from user generated content with applications in mental health @QMCogSci @QMUL tinyurl.com/rfconbe Funding for 3 PhD positions available. Deadline May 2nd. #TuringAIFellows #PhDposition
Computational Linguistics @ QMUL retweeted
Our @embeddiaproject colleagues at have produced this search tool for COVID-19 literature based on their automatic keyphrase extraction methods #NLProc covid19explorer.ijs.si/