Searching for authors named "Claire Cardie" – sorted by Relevance.

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69 documents found, showing 1 through 10. Next 10 →

Integrating Case-Based Learning and Cognitive Biases for Machine Learning of Natural Language
by Claire Cardie — 1999
…This paper shows that psychological constraints on human information processing can be used effectively to guide feature set selection for case-based learning of linguistic knowledge. Given as input a baseline case representation for a natural language learning task, our algorithm selects the rele…
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Embedded Machine Learning Systems for Natural Language Processing: A General Framework
by Claire Cardie — 1996 — Lecture Notes in Artificial Intelligence Series
…. This paper presents Kenmore, a general framework for knowledge acquisition for natural language processing (NLP) systems. To ease the acquisition of knowledge in new domains, Kenmore exploits an online corpus using robust sentence analysis and embedded symbolic machine learning techniques while re…
Cited by 12 (2 self) – Add To MetaCart

Automating Feature Set Selection for Case-Based Learning of Linguistic Knowledge
by Claire Cardie — 1996
…This paper addresses the issue of "algorithm vs. representation" for case-based learning of linguistic knowledge. We first present empirical evidence that the success of case-based learning methods for natural language processing tasks depends to a large degree on the feature set used to describe th…
Cited by 26 (0 self) – Add To MetaCart

Improving minority class prediction using case-specific feature weights
by Claire Cardie — 1997 — Proceedings of the Fourteenth International Conference on Machine Learning
…This paper addresses the problem of handling skewed class distributions within the case-based learning (CBL) framework. We rst present as a baseline an informationgain-weighted CBL algorithm and apply it to three data sets from natural language processing (NLP) with skewed class distributions. Altho…
Cited by 39 (3 self) – Add To MetaCart

A Case-Based Approach to Knowledge Acquisition for Domain-Specific Sentence Analysis
by Claire Cardie — 1993
…This paper describes a case-based approach to knowledge acquisition for natural language systems that simultaneously learns part of speech, word sense, and concept activation knowledge for all open class words in a corpus. The parser begins with a lexicon of function words and creates a case base o…
Cited by 63 (13 self) – Add To MetaCart

Domain-Specific Knowledge Acquisition For Conceptual Sentence Analysis
by Claire Cardie — 1994
… The availability of on-line corpora is rapidly changing the field of natural language processing (NLP) from one dominated by theoretical models of often very specific linguistic phenomena to one guided by computational models that simultaneously account for a wide variety of phenomena that occur i…
Cited by 26 (4 self) – Add To MetaCart

Using Decision Trees to Improve Case-Based Learning
by Claire Cardie — 1993 — In Proceedings of the Tenth International Conference on Machine Learning
…This paper shows that decision trees can be used to improve the performance of casebased learning (CBL) systems. We introduce a performance task for machine learning systems called semi-flexible prediction that lies between the classification task performed by decision tree algorithms and the flexib…
Cited by 81 (8 self) – Add To MetaCart

Empirical Methods in Information Extraction
by Claire Cardie — 1997 — AI magazine
…this article surveys the use of empirical methods for a particular natural language understanding task that is inherently domain-specific. The task is information extraction. Very generally, an information extraction system takes as input an unrestricted text and "summarizes" the text with respect t…
Cited by 90 (6 self) – Add To MetaCart

Corpus-Based Acquisition of Relative Pronoun Disambiguation Heuristics
by Claire Cardie — 1992
…This paper presents a corpus-based approach for deriving heuristics to locate the antecedents of relative pronouns. The technique duplicates the performance of hand-coded rules and requires human intervention only during the training phase. Because the training instances are built on parser output r…
Cited by 14 (7 self) – Add To MetaCart

Using natural language processing to improve eRulemaking
by Claire Cardie — 2006 — In Proceedings of Digital Government Research (dg.o
…This paper describes in brief Cornell’s interdisciplinary eRulemaking project that was recently funded (December, 2005) by the National Science Foundation. 1.…
Cited by 3 (0 self) – Add To MetaCart

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