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- 303 creator cristina-mota.
- 303 creator ralph-grishman.
- 303 type InProceedings.
- 303 label "Is this NE tagger getting old?".
- 303 sameAs 303.
- 303 abstract "This paper focuses on the influence of changing the text time frame on the performance of a named entity tagger. We followed a twofold approach to investigate this subject: on the one hand, we analyzed a corpus that spans 8 years, and, on the other hand, we assessed the performance of a name tagger trained and tested on that corpus. We created 8 samples from the corpus, each drawn from the articles for a particular year. In terms of corpus analysis, we calculated the corpus similarity and names shared between samples. To see the effect on tagger performance, we implemented a semi-supervised name tagger based on co-training; then, we trained and tested our tagger on those samples. We observed that corpus similarity, names shared between samples, and tagger performance all decay as the time gap between the samples increases. Furthermore, we observed that the corpus similarity and names shared correlate with the tagger F-measure. These results show that named entity recognition systems may become obsolete in a short period of time.".
- 303 hasAuthorList authorList.
- 303 hasTopic Linguistics.
- 303 isPartOf proceedings.
- 303 keyword "Acquisition, Machine Learning".
- 303 keyword "Corpus (creation, annotation, etc.)".
- 303 keyword "Named Entity recognition".
- 303 title "Is this NE tagger getting old?".