118 - Coreference Resolution, with Marta Recasens
In this episode, we talked about Coreference Reso…
48 Minuten
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vor 5 Jahren
In this episode, we talked about Coreference Resolution with Marta
Recasens, a Research Scientist at Google. We discussed the
complexity involved in resolving references in language, the
simplification of the problem that the NLP community has focused on
by talking about specific datasets, and the complex coreference
phenomena that are not yet captured in those datasets. We also
briefly talked about how coreference is handled in languages other
than English, and how some of the notions we have about modeling
coreference phenomena in English do not necessarily transfer to
other languages. We ended the discussion by talking about large
language models, and to what extent they might be good at handling
coreference.
Recasens, a Research Scientist at Google. We discussed the
complexity involved in resolving references in language, the
simplification of the problem that the NLP community has focused on
by talking about specific datasets, and the complex coreference
phenomena that are not yet captured in those datasets. We also
briefly talked about how coreference is handled in languages other
than English, and how some of the notions we have about modeling
coreference phenomena in English do not necessarily transfer to
other languages. We ended the discussion by talking about large
language models, and to what extent they might be good at handling
coreference.
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