[probably_wrong]

How does the model deal with dangling anaphora[1]? I wrote a summarizer for Spanish following a recent paper as a side project, and it looks as if I'll need a month of work to solve the issue.

[1] That is, the problem of selecting a sentence such as "He approved the motion" and then realising that "he" is now undefined.

[peterjliu]

We're not "selecting" sentences as an extractive summarizer might. The sentences are generated.

As for how does the model deal with co-reference? There's no special logic for that.

[wutbrodo]

Wouldn't it suffice to do a coreference pass before extracting sentences? Obviously you'll compound coref errors with the errors in your main logic, but that seems somewhat unavoidable.

[mark_l_watson]

I am working on this in my kbsportal.com NLP demo. With accurate coreference substitutions (eg., substituting a previous NP like 'San Francisco' for 'there' in a later sentence, substituting full previously mentioned names for pronouns, etc.) extractive summarization should provide better results, and my intuition is that this preprocessing should help abstractive summarization also.

[flamedoge]

That is inter-sentence logic? Even humans have trouble with such ambiguity for certain cases.