10 search results - page 1 / 2 » Annotating and Recognising Named Entities in Clinical Notes |
ACL
2009
13 years 1 months ago
2009
This paper presents ongoing research in clinical information extraction. This work introduces a new genre of text which are not well-written, noise prone, ungrammatical and with m...
LREC
2008
13 years 5 months ago
2008
We report on the construction of a gold-standard dataset consisting of annotated clinical notes suitable for evaluating our biomedical named entity recognition system. The dataset...
LREC
2008
13 years 5 months ago
2008
This paper presents the evaluation of the dictionary look-up component of Mayo Clinic's Information Extraction system. The component was tested on a corpus of 160 free-text c...
LREC
2008
13 years 5 months ago
2008
We describe and evaluate a prototype system for recognising person and place names in digitised records of British parliamentary proceedings from the late 17th and early 19th cent...
ACL
2010
13 years 1 months ago
2010
One of the main obstacles to producing high quality joint models is the lack of jointly annotated data. Joint modeling of multiple natural language processing tasks outperforms si...