Lucia Specia
@lspecia
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Chief scientist at https://t.co/cfFbRbmAkw & Professor of Natural Language Processing, Imperial College
London, England
Joined October 2012
I personally tested this for hours and this AI assistant is amazing. For you non-coders this is a game changer. I built an entire match-3 game in minutes with this!
Need a little help building your islands? The Epic Developer Assistant Beta is here to lend a hand! This new AI-powered assistant helps you write Verse code for your UEFN projects, provides answers, workflow guidance, code snippets, and more. Check it out now on the Epic
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Need a little help building your islands? The Epic Developer Assistant Beta is here to lend a hand! This new AI-powered assistant helps you write Verse code for your UEFN projects, provides answers, workflow guidance, code snippets, and more. Check it out now on the Epic
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The Department of Computing at Imperial College London is the top-rated Computer Science and Informatics department for research in the UK according to REF2021. 1/2 #computing #STEM
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Great news! The workshop will run during NAACL 2022 and we have a call for papers up! The focus of this year's workshop will be on the online abuse in areas and languages that are underserved by language technology. Find our CfP here:
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Excited to announce our shared task on "Explainable Quality Estimation" (explainable reference-free evaluation metrics for MT) in the Eval4NLP workshop @ EMNLP 2021. The submission deadline is September 1, 2021. Please consider participating! https://t.co/iergGx8899
@emnlpmeeting
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Professor and founder @BjoernSchuller presents his work how machine learning can be used to detect COVID symptoms from speech. Join us on the livestream https://t.co/4xwpMKhI60
#AI #DataScience #MachineLearning #ML #ArtificialIntelligence #NaturalLanguageProcessing #NLP #COVID19
eventbrite.com
Professor and founder Björn Schuller presents his work how machine learning can be used to detect COVID symptoms from speech
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⚡️ Our Second Call for Papers is Out ⚡️ Submissions are due on February 8, 2021. Submit your exciting #NLProc work, and get a chance to hear our guest speakers @lspecia and @adinamwilliams
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Congratulations to @feralvam and Chiraag Lala who had successful PhD vivas today and yesterday! My two last @SheffieldNLP students. Very proud!!!
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Listed as STEM influencer in Ireland :-)
Considering adding some STEM influencers to your Twitter or LinkedIn feeds? We've got plenty, including @PaulaNeary1, @abigailruthf, @fjobrien, @BOGallachoir and @Flygirl_Joanie #ScienceWeek
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Looking forward to presenting our work on unsupervised QE w/Shuo Sun, Lisa Yankovskaya @fblain @guzmanhe Mark Fishel @nikaletras @VishravC and @lspecia at #emnlp2020 We will be happy to chat at Q&A today 16Nov 16UTC Paper: https://t.co/oDlvZ6wGrQ Video:
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MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset
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'I feel a combination of optimism and relief that AI will make us better translators but not obsolete,' says @KatyDerbyshire at the close of 'Translators: Robots in Disguise'. Big thank you to Katy, Duncan Large @bcltuea and @lspecia for their talk on #AI and #LiteraryTranslation
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Does using #MachineTranslation reduce errors in literary #translation? Expert @lspecia answered our questions about latest developments & current status of #AI in the field of translation! Check our website for a lot more on the topic: https://t.co/fpAwbaLGxi
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Throughout the heat wave we continue working on the final evaluations for the @ape_quest project. Stay tuned for the results! @sheffielduni @crosslang @lspecia
@feralvam #MachineTranslation #QualityEstimation
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Guest post on Neural MT Quality Estimation. Thanks @lspecia!
Issue #84 of The Neural MT Weekly is now online! This week we are delighted to have a guest post from Prof. Lucia Specia. @lspecia takes a look at how quality estimation for machine translation is being applied in the context of Neural MT. ➡️ https://t.co/AmvxTeEBo9
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Our paper on Unsupervised QE is out!
"Unsupervised Quality Estimation for Neural Machine Translation" accepted to TACL! We explore model uncertainty for glass-box QE. https://t.co/n9zxgWrYU6 Joint work with Shuo Sun Lisa Yankovskaya @fblain @guzmanhe Mark Fishel @nikaletras @VishravC @lspecia
#NLProc #WMT2020
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Excited to announce the Hateful Memes Challenge, a new dataset and competition for vision and language, focusing on multimodal understanding and reasoning: https://t.co/pbkqLQZOyv "Mean" memes shown here as an illustration of the problem. Some highlights: (1/7)
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We just released "ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations" Paper: https://t.co/dJtGtPtsGA Dataset: https://t.co/4ulyCd0Kba Joint work with @feralvam @AntoineBordes @carolscarton @bensagot @lspecia [1/4]
github.com
A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations - facebookresearch/asset
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DCU is pleased to announce the appointment of Prof Lucia Specia, a leader in the field of natural language processing (NLP). Prof Specia has taken up a professional role at @dcucomputing & @DCUEngineering within our @AdaptCentre. Read here: https://t.co/IloO1sRGPD
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