Request Correction
Use this form to request corrections to the paper metadata. Select the fields that need correction and provide the correct information.
Correction Guidelines
- Click the edit button next to a field to report a correction.
- Fill in the suggested correction value for each field you want to correct.
- Provide your name and email so we can contact you if needed.
Paper Information
Using Cooccurrence Statistics and the Web to Discover Synonyms in a Technical Language
Paper Fields
Click the edit button next to a field to report a correction.
Using Cooccurrence Statistics and the Web to Discover Synonyms in a Technical Language
Turney 2001 has shown that computing the mutual information of a pair of words by using cooccurrence counts obtained via queries to the AltaVista search engine performs very effectively in a synonym detection task. Since manual synonym detection is a challenging task for terminologists, we investigate whether the AltaVista-based Mutual Information (AVMI) method can be applied to the task of finding pairs of synonyms in the lexicon of a specialized sub-language. In particular, we experiment with synonyms in the field of nautical terminology. Our results indicate that AVMI is very good at spotting synonym couples among pairs of unrelated terms (with precision close to 90% at 62.5% recall) and that it outperforms more standard methods based on contextual cosine similarity. However, AVMI is not able to distinguish between synonyms and other semantically related terms. Thus, AVMI can be used for synonym mining only if it is combined with techniques to filter out other semantic relations.
Authors
Expand an author to correct their information. Use the remove button to request author removal, or add a new author.
PDF Attachment
You may attach a PDF as a corrected version of the paper. Max file size: 10MB. Only PDF files are accepted.
Your Information
Author Declaration *
Select at least one field to correct using the edit buttons above.