172 citations · 646 across the 82 of their papers we have counts for
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A Memory-Based Approach to Learning Shallow Natural Language Patterns
Shlomo Argamon, Ido Dagan, Yuval Krymolowski
Recognizing shallow linguistic patterns, such as basic syntactic relationships between words, is a common task in applied natural language and text processing. The common practice…
Similarity-Based Methods For Word Sense Disambiguation
Ido Dagan, Lillian Lee, Fernando Pereira
We compare four similarity-based estimation methods against back-off and maximum-likelihood estimation methods on a pseudo-word sense disambiguation task in which we controlled for…
Mistake-Driven Learning in Text Categorization
Ido Dagan, Yael Karov, Dan Roth
Learning problems in the text processing domain often map the text to a space whose dimensions are the measured features of the text, e.g., its words. Three characteristic properti…
Minimizing Manual Annotation Cost In Supervised Training From Corpora
Sean P. Engelson, Ido Dagan
Corpus-based methods for natural language processing often use supervised training, requiring expensive manual annotation of training corpora. This paper investigates methods for r…
Similarity-Based Estimation of Word Cooccurrence Probabilities
Ido Dagan, Fernando Pereira, Lillian Lee
In many applications of natural language processing it is necessary to determine the likelihood of a given word combination. For example, a speech recognizer may need to determine…