Difference: ThesisAbstracts (5 vs. 6)
Revision 62008-04-03 - goodmami
| Line: 1 to 1 | ||||||||
|---|---|---|---|---|---|---|---|---|
Lab member thesis topics | ||||||||
| Line: 13 to 13 | ||||||||
| I will explore methods for using resources such as the Turing Center's Transgraph to automatically map words to lexical types, as well as methods to evaluate the performance of such a system. Some of the expected problems include: how to extract, derive, or assume syntactic constraints for words when faced with minimal resources, how to deal with source words that don't map to a single word in the target language (eg. English "hurt" vs. Italian "make harm"), how to deal with small and incomplete grammars (eg. not all possible lexical types are represented), when/how to solicit information from the user/linguist, etc. (updated 2008.04.02) | ||||||||
| Deleted: | ||||||||
| < < | -- Main.ebender - 02 Apr 2008 | |||||||
Generating Referring Expressions (MA)Margaret Ann MitchellI'm exploring the problem of how to refer to entities naturally. This is a sub-task within natural language generation, mapping nonlinguistic data to a linguistic output. My focus is primarily on creating distinguishing descriptions, ie, given a set of objects from which one object is selected, what noun phrase will be used to refer to it? Current approaches are based off Dale & Reiter's Incremental Algorithm, which uses the Gricean Maxims as a guide to naturalness, but these maxims are prescriptive, not descriptive, and fail to capture what humans actually do. I intend to do some data-mining to create a basic preference ordering for adjectives, and use this to propose a new algorithm that better captures human referring expression generation. I also want to touch on which types of referring expressions are used in which contexts, in an attempt to help natural language generators decide how to refer to entities in a stream of text. The domain will probably be limited to the Wall Street Journal. | ||||||||
View topic | History: r8 < r7 < r6 < r5 | More topic actions...
Copyright &© by the contributing authors. All material on this collaboration platform is the property of the contributing authors. Ideas, requests, problems regarding TWiki? Send feedback
Privacy Statement Terms & Conditions