Literatur

Im Seminar-Teil der Lehrveranstaltung schauen wir uns eine Reihe von Standardwerken der Parsing-Literatur an, in Vorträgen der Teilnehmer/innen. Hier eine Auswahl von Themen.

Grundlagen:

• Johnson (1998), PCFG Models of Linguistic Tree Representations. Computational Linguistics.

Akkuratere Modelle:

• Collins (2003), Head-driven statistical models for natural language parsing. Computational Linguistics. See also his course notes.
• Klein & Manning (2003). Accurate unlexicalized parsing. Proceedings of ACL.
• Petrov et al. (2006). Learning Accurate, Compact, and Interpretable Tree Annotation. Proceedings of ACL.

Schnellere Algorithmen:

• Caraballo & Charniak (1998). New figures-of-merit for best-first probabilistic chart parsing. Computational Linguistics.
• Klein & Manning (2003). A* Parsing: Fast Exact Viterbi Parse Selection. Proceedings of NAACL.
• Charniak & Johnson (2005). Coarse-to-fine n-best parsing and MaxEnt discriminative reranking. Proceedings of ACL.