CambridgeNLP

@cambridgenlp

The // research group in the University of Cambridge, Computer Science department.

Vrijeme pridruživanja: ožujak 2016.

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  1. proslijedio/la je Tweet

    🔎 We're looking for a lecturer who can contribute to research and teaching in Natural Language Processing / Computational Linguistics. Do you know anyone who's interested? Please RT!

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    10. sij

    Today, a 3-day FACT-CHECKING HACKATHON organised by begins at . We are really excited to see what new approaches to tackling fake news the interdisciplinary participants can come up with!

    Image by igorstevanovic/Shutterstock.com
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    18. pro 2019.

    Online hate speech could be contained like a computer virus, say researchers

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    🎉 Dr Andreas Vlachos has won an ERC Grant for a project that will combat fake news by revolutionising automated fact checking in politics, economics and science. 🏛️💲🔬

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  5. 22. stu 2019.

    Great talk from from visiting the NLP lab today on "Unsupervised cross-lingual representation learning"

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  6. 14. stu 2019.

    An excellent talk by James Thorne () on automated fact checking at the London NLP meetup.

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  7. 8. stu 2019.

    Don’t Forget the Long Tail! A Comprehensive Analysis of Morphological Generalization in Bilingual Lexicon Induction. paper by , , Edouard Grave, and Ann Copestake.

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  8. 8. stu 2019.

    The organizers of another great workshop and shared task on Fact Extraction and Verification (FEVER)

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  9. 8. stu 2019.

    Evaluating adversarial attacks against multiple fact verification systems by , , and Arpit Mittal.

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  10. 8. stu 2019.

    Semi-Supervised Bootstrapping of Dialogue State Trackers for Task-Oriented Modelling, by Bo-Hsiang Tseng, , Paweł Budzianowski, Richard Turner, Bill Byrne and .

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  11. 7. stu 2019.

    Modelling the interplay of metaphor and emotion through multitask learning. Investigating architectures for combining figurative and emotive language in this new paper by Verna Dankers, , Martha Lewis and Ekaterina Shutova.

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  12. 7. stu 2019.

    It’s All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution by , , and Simone Teufel. 2019

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  13. 7. stu 2019.

    Recursive Context-Aware Lexical Simplification by and Ekaterina Kochmar.

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  14. 7. stu 2019.

    Bad Form: Comparing Context-Based and Form-Based Few-Shot Learning in Distributional Semantic Models. New paper about rare word embeddings by , Guy Emerson and at the workshop. .

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    7. stu 2019.

    3 great posters at @emnlp2019 from on show! and Rowan Hall Maudslay

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  16. proslijedio/la je Tweet

    We are thrilled to welcome our 100,000th visitor this afternoon! Thanks for coming, Chris and !

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  17. proslijedio/la je Tweet
    4. lis 2019.

    The Geographic Diversity of NLP Conferences, a new blog post by and myself. Analysing the global distribution of authors and organizations at major NLP conferences.

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  18. proslijedio/la je Tweet

    Tackling online abuse: our survey of automated abuse detection methods is now on arXiv:

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  19. proslijedio/la je Tweet
    6. kol 2019.

    Up over 1000 followers, but surely there are more people on Twitter than that! One especially good reason to follow this account: from 2020 onwards, we won't be switching from ACL to ACL: will become ACL 2021 once ACL 2020 is done with it!

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  20. proslijedio/la je Tweet
    8. kol 2019.

    Quiz fans! Test your general knowledge AND help our research 👉 Should be about 5-10mins (tell me if not), please RT!

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