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I am getting question from user and trying to understand syntactically.

My goal is to identify the exact question sentence from user entered question. Like

Obama is president of USA, who is his wife?

So I am able to apply anaphora resolution and get his pointing to Obama and can convert above sentence to

   Obama is president of USA, who is Obama wife?

but how can I syntactically identify exact question sentence i.e. Who is obama wife? from above entire question

I am trying with pylinkgrammar which give 54 linkage for above sentence, like

linkparser> 
    Linkage 54, cost vector = (UNUSED=0 DIS= 8.05 LEN=24)

    +------------------------------Xp------------------------------+
    +---------------------->WV---------------------->+             |
    +-------------------Xx-------------------+-->WV->+---SIs---+   |
    +----Wd---+--Ss--+--Oum--+---Mp--+-Js+   +Wq+--Q-+   +Ds**c+   |
    |         |      |       |       |   |   |  |    |   |     |   |
LEFT-WALL Obama[!] is.v president.t of USA.l , who is.v his wife.n ? 

What I want to do it defining pattern for different question type like W5H1, conjunction based question etc.

But I dont find how to write rule for these pattern, any suggestion and reference would be much appreciable?

user123
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1 Answers1

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You can try to extract different possible sub-questions (hypotheses) from your original text and test for textual entailment between your text and hypotheses. Check out http://hltfbk.github.io/Excitement-Open-Platform/#Recognizing_Textual_Entailment

D Volsky
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