Abstract
In producing identifying descriptions, speakers often
overspecify and manifest preferences for certain at-
tributes. However, current computational models which
incorporate this observation tend not to make precise
predictions about when and how much speakers do this.
The present paper proposes and evaluates two alter-
native models, based on the results of a new experi-
ment. Unlike current models, the new ones are non-
deterministic and seek to make precise quantitative pre-
dictions about the extent to which speakers overspecify.
overspecify and manifest preferences for certain at-
tributes. However, current computational models which
incorporate this observation tend not to make precise
predictions about when and how much speakers do this.
The present paper proposes and evaluates two alter-
native models, based on the results of a new experi-
ment. Unlike current models, the new ones are non-
deterministic and seek to make precise quantitative pre-
dictions about the extent to which speakers overspecify.
Original language | English |
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Title of host publication | Proceedings of the CogSci workshop Production of Referring Expressions |
Place of Publication | Boston |
Number of pages | 7 |
Publication status | Published - Jul 2011 |
Event | CogSci 2011 - Boston, MA, United States Duration: 20 Jul 2011 → 23 Jul 2011 |
Conference
Conference | CogSci 2011 |
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Country | United States |
City | Boston, MA |
Period | 20/07/11 → 23/07/11 |