IS-FBN, IS-FBS, IS-IAC: The Adaptation of Two Classic Algorithms for the Generation of Referring Expressions in order to Produce Expressions like Humans Do
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چکیده
The first algorithm is the full brevity algorithm combined with nearest neighbour learning technique which is used for the selection of the referring expression closest to training examples as uttered by humans. This algorithm obviously only imitates human behaviour with the goal to get high scores. With the Incremental Algorithm that is known and justified by its human like behaviour, we tried to beat the first one.
منابع مشابه
The Fingerprint of Human Referring Expressions and their Surface Realization with Graph Transducers (IS-FP, IS-GT, IS-FP-GT)}
The algorithm IS-FP takes up the idea from the IS-FBN algorithm developed for the shared task 2007. Both algorithms learn the individual attribute selection style for each human that provided referring expressions to the corpus. The IS-FP algorithm was developed with two additional goals (1) to improve the indentification time that was poor for the FBN algorithm and (2) to push the dice score e...
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متن کاملProceedings of the Corpus Linguistics 2005 Workshop on Using Corpora for Natural Language Generation
We report on a set of experiments using corpora to evaluate referring expression generation for spoken dialog. In dialog, participants frequently converge on the same referring expressions even if those referring expressions are inefficient. Existing rule-based algorithms for referring expression generation do not adequately model this adaptation. We extended two such algorithms with simple mod...
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تاریخ انتشار 2007