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Ehud's thoughts and observations about Natural Language Generation

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Category: academics

academics

Can I present my paper twice?

Apr 26, 2022 ehudreiterLeave a comment

I’ve come to realise that there is some confusion, especially amongst newcomers to NLP/AI, about when a research paper can be presented at two venues. I try to explain the rules and principles as I understand them.

academics

Doing Less

Feb 13, 2022Feb 15, 2022 ehudreiterLeave a comment

Like many others, I am trying to do too much in my university academic role. I’m looking for areas where I can “do less” without having a major impact on research and teaching.

academics

More discussion, fewer papers at conferences?

Oct 5, 2021 ehudreiterLeave a comment

When I asked participants what they most liked at the recent INLG conference, people highlighted events and sessions which focused on discussion and interaction, not technical research papers. Perhaps there is a lesson here that conferences should focus more on interaction and community, and not simply be regarded as venues for presenting research papers.

academics

Publication Requirements for PhD Students

May 21, 2021 ehudreiter2 Comments

I was surprised to find out that some institutions require PhD students to publish a certain number of papers before they can graduate. This is not my view; my goal as a supervisor is to train students to be good scientists, and rigid publication targets are not appropriate for this goal.

academics

Challenging NLG datasets and tasks

Mar 4, 2021 ehudreiter5 Comments

I would like neural NLG researchers to focus on more challenging datasets, and make some suggestions.

academics

Best Papers I Read in 2020

Dec 28, 2020Dec 28, 2020 ehudreiterLeave a comment

Seven papers which I blogged or tweeted about in 2020, covering evaluation, safety, engineering and system building, and long-term perspective on NLP. I recommend these to all; they made an impact on me, perhaps they will make an impact on you as well!

academics

Academic NLG should not fixate on end-to-end neural

Dec 1, 2020Dec 1, 2020 ehudreiter1 Comment

I was shocked when a PhD student recently told me that he thought he had to focus on end-to-end neural approaches, because this dominates the conferences he wants to publish in. I’m all for research in end-to-end neural, but fixating on this to the exclusion of everything else is a mistake. Especially since end-to-end neural approaches do not currently work very well.

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