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#emnlp2022 — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #emnlp2022, aggregated by home.social.

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  1. Quite enjoyed Mona Diab's (twitter.com/MonaDiab77/) #EMNLP2022 keynote today.

    Lots of interesting work on #ResponsibleAI and #ResponsibleNLP. (Even if a lot of it is coming from Meta/Facebook 😬)

    One of the earlier mentions was TCT (github.com/facebookresearch/te) which re-implements a lot of #CohMetrix text statistics to help researchers characterise the corpora they're training their models on

  2. Quite enjoyed Mona Diab's (twitter.com/MonaDiab77/) #EMNLP2022 keynote today.

    Lots of interesting work on #ResponsibleAI and #ResponsibleNLP. (Even if a lot of it is coming from Meta/Facebook 😬)

    One of the earlier mentions was TCT (github.com/facebookresearch/te) which re-implements a lot of #CohMetrix text statistics to help researchers characterise the corpora they're training their models on

  3. Quite enjoyed Mona Diab's (twitter.com/MonaDiab77/) #EMNLP2022 keynote today.

    Lots of interesting work on #ResponsibleAI and #ResponsibleNLP. (Even if a lot of it is coming from Meta/Facebook 😬)

    One of the earlier mentions was TCT (github.com/facebookresearch/te) which re-implements a lot of #CohMetrix text statistics to help researchers characterise the corpora they're training their models on

  4. Quite enjoyed Mona Diab's (twitter.com/MonaDiab77/) #EMNLP2022 keynote today.

    Lots of interesting work on #ResponsibleAI and #ResponsibleNLP. (Even if a lot of it is coming from Meta/Facebook 😬)

    One of the earlier mentions was TCT (github.com/facebookresearch/te) which re-implements a lot of #CohMetrix text statistics to help researchers characterise the corpora they're training their models on

  5. 🦾 New episode of Practical AI! 🦾

    While at #EMNLP2022, @dwhitena got a chance to sit down with an amazing group of researchers creating #NLP technology that actually works for their local language communities.

    The group emphasized the need for more linguistically diverse NLP systems that work in scenarios of data scarcity, non-Latin scripts, rich morphology, etc. You don’t want to miss this one!

    🎧 practicalai.fm/205

  6. 🦾 New episode of Practical AI! 🦾

    While at #EMNLP2022, @dwhitena got a chance to sit down with an amazing group of researchers creating #NLP technology that actually works for their local language communities.

    The group emphasized the need for more linguistically diverse NLP systems that work in scenarios of data scarcity, non-Latin scripts, rich morphology, etc. You don’t want to miss this one!

    🎧 practicalai.fm/205

  7. 🦾 New episode of Practical AI! 🦾

    While at #EMNLP2022, @dwhitena got a chance to sit down with an amazing group of researchers creating #NLP technology that actually works for their local language communities.

    The group emphasized the need for more linguistically diverse NLP systems that work in scenarios of data scarcity, non-Latin scripts, rich morphology, etc. You don’t want to miss this one!

    🎧 practicalai.fm/205

  8. 🦾 New episode of Practical AI! 🦾

    While at #EMNLP2022, @dwhitena got a chance to sit down with an amazing group of researchers creating #NLP technology that actually works for their local language communities.

    The group emphasized the need for more linguistically diverse NLP systems that work in scenarios of data scarcity, non-Latin scripts, rich morphology, etc. You don’t want to miss this one!

    🎧 practicalai.fm/205

  9. Paper Title:
    Curriculum Prompt Learning with Self-Training for Abstractive Dialogue Summarization

    Authors:
    Changqun Li, Linlin Wang, Xin Lin, Gerard de Melo, Liang He

    This is joint work with researchers from East China Normal University in Shanghai, including my former PhD student Linlin Wang, who is now a faculty member there, and, most importantly, her student collaborator Changqun Li.

    Check out the #EMNLP2022 Paper for further details:
    gerard.demelo.org/papers/dialo
    gerard.demelo.org/papers/dialo

    2/2

  10. Paper Title:
    Curriculum Prompt Learning with Self-Training for Abstractive Dialogue Summarization

    Authors:
    Changqun Li, Linlin Wang, Xin Lin, Gerard de Melo, Liang He

    This is joint work with researchers from East China Normal University in Shanghai, including my former PhD student Linlin Wang, who is now a faculty member there, and, most importantly, her student collaborator Changqun Li.

    Check out the #EMNLP2022 Paper for further details:
    gerard.demelo.org/papers/dialo
    gerard.demelo.org/papers/dialo

    2/2

  11. Paper Title:
    Curriculum Prompt Learning with Self-Training for Abstractive Dialogue Summarization

    Authors:
    Changqun Li, Linlin Wang, Xin Lin, Gerard de Melo, Liang He

    This is joint work with researchers from East China Normal University in Shanghai, including my former PhD student Linlin Wang, who is now a faculty member there, and, most importantly, her student collaborator Changqun Li.

    Check out the #EMNLP2022 Paper for further details:
    gerard.demelo.org/papers/dialo
    gerard.demelo.org/papers/dialo

    2/2

  12. Paper Title:
    Curriculum Prompt Learning with Self-Training for Abstractive Dialogue Summarization

    Authors:
    Changqun Li, Linlin Wang, Xin Lin, Gerard de Melo, Liang He

    This is joint work with researchers from East China Normal University in Shanghai, including my former PhD student Linlin Wang, who is now a faculty member there, and, most importantly, her student collaborator Changqun Li.

    Check out the #EMNLP2022 Paper for further details:
    gerard.demelo.org/papers/dialo
    gerard.demelo.org/papers/dialo

    2/2

  13. Overwhelming amounts of dialogue are being recorded in social media, instant messaging apps, Slack channels, customer service interactions, and so on.

    Wouldn't it be great if automated tools could provide us short, succinct summaries?

    Here's talk I just gave at #EMNLP2022 about a new #LLM prompt learning method that works fairly well even when the training data is extremely limited.

    speakerdeck.com/gdm/curriculum

    1/2

    #NLP #NLProc #AI

  14. Overwhelming amounts of dialogue are being recorded in social media, instant messaging apps, Slack channels, customer service interactions, and so on.

    Wouldn't it be great if automated tools could provide us short, succinct summaries?

    Here's talk I just gave at #EMNLP2022 about a new #LLM prompt learning method that works fairly well even when the training data is extremely limited.

    speakerdeck.com/gdm/curriculum

    1/2

    #NLP #NLProc #AI

  15. Overwhelming amounts of dialogue are being recorded in social media, instant messaging apps, Slack channels, customer service interactions, and so on.

    Wouldn't it be great if automated tools could provide us short, succinct summaries?

    Here's talk I just gave at #EMNLP2022 about a new #LLM prompt learning method that works fairly well even when the training data is extremely limited.

    speakerdeck.com/gdm/curriculum

    1/2

    #NLP #NLProc #AI

  16. Overwhelming amounts of dialogue are being recorded in social media, instant messaging apps, Slack channels, customer service interactions, and so on.

    Wouldn't it be great if automated tools could provide us short, succinct summaries?

    Here's talk I just gave at #EMNLP2022 about a new #LLM prompt learning method that works fairly well even when the training data is extremely limited.

    speakerdeck.com/gdm/curriculum

    1/2

    #NLP #NLProc #AI

  17. We had lots of papers at #emnlp2022 … and lots of us were there in Abu Dhabi in person to present them!

    ai.stanford.edu/blog/emnlp-202

  18. We had lots of papers at #emnlp2022 … and lots of us were there in Abu Dhabi in person to present them!

    ai.stanford.edu/blog/emnlp-202

  19. We had lots of papers at #emnlp2022 … and lots of us were there in Abu Dhabi in person to present them!

    ai.stanford.edu/blog/emnlp-202

  20. We had lots of papers at #emnlp2022 … and lots of us were there in Abu Dhabi in person to present them!

    ai.stanford.edu/blog/emnlp-202

  21. EMNLP2022 trip report: neuro-symbolic approaches in NLP are on the rise
    keet.wordpress.com/2022/12/14/
    the report is longer than intended, yet still incomplete wrt the papers that aren’t (only) large language models, but also inject structured content, reasoners, or grammars to improve on a range of NLP tasks. #EMNLP2022

  22. EMNLP2022 trip report: neuro-symbolic approaches in NLP are on the rise
    keet.wordpress.com/2022/12/14/
    the report is longer than intended, yet still incomplete wrt the papers that aren’t (only) large language models, but also inject structured content, reasoners, or grammars to improve on a range of NLP tasks. #EMNLP2022

  23. EMNLP2022 trip report: neuro-symbolic approaches in NLP are on the rise
    keet.wordpress.com/2022/12/14/
    the report is longer than intended, yet still incomplete wrt the papers that aren’t (only) large language models, but also inject structured content, reasoners, or grammars to improve on a range of NLP tasks. #EMNLP2022

  24. EMNLP2022 trip report: neuro-symbolic approaches in NLP are on the rise
    keet.wordpress.com/2022/12/14/
    the report is longer than intended, yet still incomplete wrt the papers that aren’t (only) large language models, but also inject structured content, reasoners, or grammars to improve on a range of NLP tasks. #EMNLP2022

  25. 🤖 New episode of Practical AI! 🤖

    José and Ricardo joined @dwhitena at #EMNLP2022 to discuss state-of-the-art machine translation, the WMT shared tasks, and quality estimation.

    Among other things, they talk about Unbabel’s innovations in quality estimation including COMET, a neural framework for training multilingual machine translation (MT) evaluation models.

    🎧 practicalai.fm/204 #ai #machinelearning #nlp

  26. 🤖 New episode of Practical AI! 🤖

    José and Ricardo joined @dwhitena at #EMNLP2022 to discuss state-of-the-art machine translation, the WMT shared tasks, and quality estimation.

    Among other things, they talk about Unbabel’s innovations in quality estimation including COMET, a neural framework for training multilingual machine translation (MT) evaluation models.

    🎧 practicalai.fm/204 #ai #machinelearning #nlp

  27. 🤖 New episode of Practical AI! 🤖

    José and Ricardo joined @dwhitena at #EMNLP2022 to discuss state-of-the-art machine translation, the WMT shared tasks, and quality estimation.

    Among other things, they talk about Unbabel’s innovations in quality estimation including COMET, a neural framework for training multilingual machine translation (MT) evaluation models.

    🎧 practicalai.fm/204 #ai #machinelearning #nlp

  28. live from #emnlp2022 talking about #ChatGPT 🤖💬 I am 😊 to have had a short interview on #AlJazeeranews explaining why it's not new, what are the opportunities, the limitations and what does it mean for the future #nlproc #AI

    🔗 to 🎥:
    mediaview.aljazeera.com/video/

  29. live from #emnlp2022 talking about #ChatGPT 🤖💬 I am 😊 to have had a short interview on #AlJazeeranews explaining why it's not new, what are the opportunities, the limitations and what does it mean for the future #nlproc #AI

    🔗 to 🎥:
    mediaview.aljazeera.com/video/

  30. live from #emnlp2022 talking about #ChatGPT 🤖💬 I am 😊 to have had a short interview on #AlJazeeranews explaining why it's not new, what are the opportunities, the limitations and what does it mean for the future #nlproc #AI

    🔗 to 🎥:
    mediaview.aljazeera.com/video/

  31. live from #emnlp2022 talking about #ChatGPT 🤖💬 I am 😊 to have had a short interview on #AlJazeeranews explaining why it's not new, what are the opportunities, the limitations and what does it mean for the future #nlproc #AI

    🔗 to 🎥:
    mediaview.aljazeera.com/video/

  32. Made it back home from #EMNLP2022! Thanks to the
    organizers for this experience and thanks to all the wonderful people I was able to meet in person! 🥳

  33. Made it back home from #EMNLP2022! Thanks to the
    organizers for this experience and thanks to all the wonderful people I was able to meet in person! 🥳

  34. It was a wonderful time at #EMNLP2022, catching up and having research discussions with old friends and new.

    Now that the week is done I hope we keep the conversations going! In addition to Twitter, would suggest Mastodon. Sign up sigmoid.social and cross-post (T ➡️ M).

  35. It was a wonderful time at #EMNLP2022, catching up and having research discussions with old friends and new.

    Now that the week is done I hope we keep the conversations going! In addition to Twitter, would suggest Mastodon. Sign up sigmoid.social and cross-post (T ➡️ M).

  36. It was a wonderful time at #EMNLP2022, catching up and having research discussions with old friends and new.

    Now that the week is done I hope we keep the conversations going! In addition to Twitter, would suggest Mastodon. Sign up sigmoid.social and cross-post (T ➡️ M).

  37. Best paper awards session is refreshingly mostly about something other than LMs themselves. #emnlp2022

  38. Best paper awards session is refreshingly mostly about something other than LMs themselves. #emnlp2022

  39. Best paper awards session is refreshingly mostly about something other than LMs themselves. #emnlp2022

  40. #EMNLP2022 attendees:

    We have fully-funded Post-Doc / PhD positions in the Berlin area in Germany
    at HPI / University of Potsdam
    nlproc.org/join/

    Feel free to reach out to me for further details.

  41. #EMNLP2022 attendees:

    We have fully-funded Post-Doc / PhD positions in the Berlin area in Germany
    at HPI / University of Potsdam
    nlproc.org/join/

    Feel free to reach out to me for further details.

  42. #EMNLP2022 attendees:

    We have fully-funded Post-Doc / PhD positions in the Berlin area in Germany
    at HPI / University of Potsdam
    nlproc.org/join/

    Feel free to reach out to me for further details.

  43. #EMNLP2022 attendees:

    We have fully-funded Post-Doc / PhD positions in the Berlin area in Germany
    at HPI / University of Potsdam
    nlproc.org/join/

    Feel free to reach out to me for further details.

  44. Mona Diab unwell(?) or otherwise unable to attend, #emnlp2022 has substituted with panel discussion

  45. Mona Diab unwell(?) or otherwise unable to attend, #emnlp2022 has substituted with panel discussion

  46. Mona Diab unwell(?) or otherwise unable to attend, #emnlp2022 has substituted with panel discussion

  47. the answer is no because robojudges are bad at processing negative precedent, which they try to fix but don't quite get to positive-precedent performance #emnlp2022

  48. the answer is no because robojudges are bad at processing negative precedent, which they try to fix but don't quite get to positive-precedent performance #emnlp2022

  49. the answer is no because robojudges are bad at processing negative precedent, which they try to fix but don't quite get to positive-precedent performance #emnlp2022

  50. Attending a talk in the CL/TACL session on whether we'll have robojudges by Valvoda et al. #emnlp2022

  51. Attending a talk in the CL/TACL session on whether we'll have robojudges by Valvoda et al. #emnlp2022

  52. Attending a talk in the CL/TACL session on whether we'll have robojudges by Valvoda et al. #emnlp2022

  53. Here's a blog post from one of the more interesting startups seen at #EMNLP2022: "Search is Overfitted Create; Create is Underfitted Search"

    jina.ai/news/search-is-overfit

  54. Here's a blog post from one of the more interesting startups seen at #EMNLP2022: "Search is Overfitted Create; Create is Underfitted Search"

    jina.ai/news/search-is-overfit

  55. Here's a blog post from one of the more interesting startups seen at #EMNLP2022: "Search is Overfitted Create; Create is Underfitted Search"

    jina.ai/news/search-is-overfit