Co-occurrence Vectors from Corpora vs Distance Vectors from Dictionaries
<|reference_start|>Co-occurrence Vectors from Corpora vs Distance Vectors from Dictionaries: A comparison was made of vectors derived by using ordinary co-occurrence statistics from large text corpora and of vectors derived by measuring the inter-word distances in dictionary definitions. The precision of word sense disambiguation by using co-occurrence vectors from the 1987 Wall Street Journal (20M total words) was higher than that by using distance vectors from the Collins English Dictionary (60K head words + 1.6M definition words). However, other experimental results suggest that distance vectors contain some different semantic information from co-occurrence vectors.<|reference_end|>
@article{niwa1995co-occurrence,
    title={Co-occurrence Vectors from Corpora vs. Distance Vectors from
  Dictionaries},
    author={Yoshiki Niwa and Yoshihiko Nitta (ARL, Hitachi, Ltd.)},
    journal={COLING94, 304-309.},
    year={1995},
    number={ARL Research Report No. 94-003},
    archivePrefix={arXiv},
    eprint={cmp-lg/9503025},
    primaryClass={cmp-lg cs.CL}
}