Computer Science – Information Retrieval
Scientific paper
2006-10-19
Proceedings of the 4th IEEE International Conference on Information Technology: Research and Education (ITRE 2006). Tel Aviv,
Computer Science
Information Retrieval
Scientific paper
Latent Semantic Analysis (LSA) is a widely used Information Retrieval method based on "bag-of-words" assumption. However, according to general conception, syntax plays a role in representing meaning of sentences. Thus, enhancing LSA with part-of-speech (POS) information to capture the context of word occurrences appears to be theoretically feasible extension. The approach is tested empirically on a automatic essay grading system using LSA for document similarity comparisons. A comparison on several POS-enhanced LSA models is reported. Our findings show that the addition of contextual information in the form of POS tags can raise the accuracy of the LSA-based scoring models up to 10.77 per cent.
Kakkonen Tuomo
Myller Niko
Sutinen Erkki
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