Applying Part-of-Seech Enhanced LSA to Automatic Essay Grading

@article{Kakkonen2006ApplyingPE,
  title={Applying Part-of-Seech Enhanced LSA to Automatic Essay Grading},
  author={Tuomo Kakkonen and Niko Myller and Erkki Sutinen},
  journal={CoRR},
  year={2006},
  volume={abs/cs/0610118}
}
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… CONTINUE READING

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