More recent applications of memory-based learning:

• Shallow/partial parsing (Argamon, Dagan, and Krymolowski, 1998; Cardie and Pierce, 1998; Daelemans, Veenstra, and Buchholz, 1999)

• Word sense disambiguation (Ng and Lee, 1996; Mooney, 1996)

• Domain-specific lexical tagging (Cardie, 1993, 1994)

• Machine translation (Jones, 1996)

• Text categorisation (Riloff and Lehnert, 1994)

• Word pronunciation (Van den Bosch and Daelemans, 1993; Daelemans, Gillis, and Durieux, 1994; Van den Bosch, 1997)

• Word morphology (Van den Bosch, Daelemans, and Weijters, 1996; Van den Bosch and Daelemans, 1999)

• Part-of-speech tagging (Daelemans, Zavrel, Berck, and Gillis, 1996; Zavrel and Daelemans, 1999)

• Attachment and subcategorisation (Zavrel, Daelemans and Veenstra, 1998; Buchholz, 1998)

• Phrase chunking (Veenstra, 1998; Tjong Kim Sang and Veenstra, 1999)

Statistical NLP:

• Maximum entropy (Ratnaparkhi, 1998) - full shift-reduce parsing on top of tagging and chunking

• Winnow (Golding and Roth, 1997) - spelling correction

• DOP (Bod, 1997) - full parsing

• HMM (Brants, Skut, and Krenn)

• PCFG

• ...

Other inductive learning (cf. Cardie and Mooney tutorial):

• Parsing with decision trees (Schmid; Magerman; Hermjakob)

• Machine translation with decision trees (Hermjakob)

• Dialogue act classification with decision trees (Litman; Andernach)

• Semantic parsing with inductive logic programming (Zelle and Mooney; Muggleton et al.)

• ...