In this paper we propose to use text chunking for controlling a bottom-up parser. As it is well known, during analysis such parsers produce many constituents not contributing to the correct final analysis, because they do not consider properly the text surrounding the portion under analysis in a given moment. This paper defines the following nested levels of chunks: words; non recursive NPs and verb groups (chunk1); non recursive PPs and DPs (chunck2); clauses and sentences. The paper compares the same CYK-like parser’s results during two blind tests (using or not a chunk-based strategy) on 51 Italian sentences (1379 words). The controlled parser was shown more efficient. Moreover, its (partial) results are qualitatively better, as here demonstrated

Controlling a Bottom-Up Parser through Text Chunking

1996-01-01

Abstract

In this paper we propose to use text chunking for controlling a bottom-up parser. As it is well known, during analysis such parsers produce many constituents not contributing to the correct final analysis, because they do not consider properly the text surrounding the portion under analysis in a given moment. This paper defines the following nested levels of chunks: words; non recursive NPs and verb groups (chunk1); non recursive PPs and DPs (chunck2); clauses and sentences. The paper compares the same CYK-like parser’s results during two blind tests (using or not a chunk-based strategy) on 51 Italian sentences (1379 words). The controlled parser was shown more efficient. Moreover, its (partial) results are qualitatively better, as here demonstrated
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/1261
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