We present an evaluation of three anaphora resolution algorithms – GuiTAR, JavaRAP and MARS – based on a subpart of the Susanne Corpus. The results were then compared to the GETARUNS system developed at Department of Language Sciences, Università Ca’ Foscari, Venezia, by prof. Delmonte. Our aim was to highlight differences between the systems and to see if knowledge-poor approach- es are suitable for AR, as they are much less labour-intensive and time-consum- ing than knowledge-rich systems.

Knowledge-poor and Knowledge-rich Approach in Anaphora Resolution Algorithms : a Comparison

DELMONTE, Rodolfo;
2009-01-01

Abstract

We present an evaluation of three anaphora resolution algorithms – GuiTAR, JavaRAP and MARS – based on a subpart of the Susanne Corpus. The results were then compared to the GETARUNS system developed at Department of Language Sciences, Università Ca’ Foscari, Venezia, by prof. Delmonte. Our aim was to highlight differences between the systems and to see if knowledge-poor approach- es are suitable for AR, as they are much less labour-intensive and time-consum- ing than knowledge-rich systems.
2009
Linguistica e modelli tecnologici di ricerca : atti del XL Congresso internazionale di studi della Società di linguistica italiana (SLI)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10278/39741
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