Why people care
description
Transcript of Why people care
Why people care
• Classic: "text understanding"• Information extraction, information
retrieval, summarization…
What influences pronoun resolution?
• Syntax• Semantics/world knowledge
Why syntax matters
• John kicked Bill. Mary told him to go home.
• Bill was kicked by John. Mary told him to go home.
• John kicked Bill. Mary punched him.
Why syntax matters
• John kicked Bill. Mary told him to go home.
• Bill was kicked by John. Mary told him to go home.
• John kicked Bill. Mary punched him.
John
Why syntax matters
• John kicked Bill. Mary told him to go home.
• Bill was kicked by John. Mary told him to go home.
• John kicked Bill. Mary punched him.
Bill
Why syntax matters
• John kicked Bill. Mary told him to go home.
• Bill was kicked by John. Mary told him to go home.
• John kicked Bill. Mary punched him.
Bill
Why syntax matters
• John kicked Bill. Mary told him to go home.
• Bill was kicked by John. Mary told him to go home.
• John kicked Bill. Mary punched him.
Grammatical role hierarchy
Why syntax matters
• John kicked Bill. Mary told him to go home.
• Bill was kicked by John. Mary told him to go home.
• John kicked Bill. Mary punched him.
Grammatical role
parallelism
Why semantics matters
The city council denied the demonstrators a permit because they {feared|advocated} violence.
Why semantics matters
The city council denied the demonstrators a permit because they {feared|advocated} violence.
Why semantics matters
The city council denied the demonstrators a permit because they {feared|advocated} violence.
Why knowledge matters
• John hit Bill. He was severely injured.
Margaret Thatcher admires Hillary Clinton, and George
W. Bush absolutely worships her.
Why Knowledge Matters
A search-based solution
• Hobbs 1978: Resolving pronoun references
Hobbs 1978
• Assessment of difficulty of problem• Incidence of the phenomenon• A simple algorithm that has
become a baseline
Hobbs’s point
…the naïve approach is quite good. Computationally speaking, it will be a long time before a semantically based algorithm is sophisticated enough to perform as well, and these results set a very high standard for any other approach to aim for.
Hobbs’s point
Yet there is every reason to pursue a semantically based approach. The naïve algorithm does not work. Any one can think of examples where it fails. In these cases it not only fails; it gives no indication that it has failed and offers no help in finding the real antecedent.
(p. 345)
A parse tree