Hi Tim, I live for papers that include a variant of your phrase "First, it is very interesting that the best per- forming systems are the simplest and fastest. Despite the theoretical advantages of the con- ditional random field’s global sequence opti- mization, the BIO approaches using local clas- sifiers typically obtain the best performance." I really enjoyed the paper!
~~~~~ May All Your Sequences Converge > On Jul 6, 2016, at 6:35 AM, Miller, Timothy > <[email protected]> wrote: > > Sean, for temporal expressions specifically, see this paper from BioNLP > last year: > > http://aclweb.org/anthology/W/W15/W15-3809.pdf > Timothy Miller; Steven Bethard; Dmitriy Dligach; Chen Lin; Guergana > Savova > Extracting Time Expressions from Clinical Text > > in short, yes the SVM-based BIO taggers showed better performance than > the CRF or constituency-tree classifiers. > > Tim > > > On Tue, 2016-07-05 at 21:41 +0000, Mullane, Sean *HS wrote: >> Thank you for the links. Does that mean that the SVM-based approach >> from your first link has performed better than the CRF-based approach >> in CRFTimeAnnotator.java? >> >> >> >> Thanks, >> >> Sean >> >> >> >> From: Savova, Guergana [mailto:[email protected]] >> Sent: Friday, June 24, 2016 6:24 PM >> To: '[email protected]' >> Subject: RE: update on temporal relations >> >> >> >> >> The best performing methods thus far have been released. They are >> described in http://www.ncbi.nlm.nih.gov/pubmed/26521301 >> >> The results are state-of-the-art, see the recent community shared task >> http://alt.qcri.org/semeval2016/task12/ >> >> >> >> We are actively working on the topic and will be releasing novel >> methods as we investigate them. >> >> Hope this helps. >> >> --Guergana >> >> >> >> Guergana Savova, PhD, FACMI >> >> Associate Professor >> >> PI Natural Language Processing Lab >> >> Boston Children's Hospital and Harvard Medical School >> >> 300 Longwood Avenue >> >> Mailstop: BCH3092 >> >> Enders 144.1 >> >> Boston, MA 02115 >> >> Tel: (617) 919-2972 >> >> Fax: (617) 730-0817 >> >> Harvard Scholar: http://scholar.harvard.edu/guergana_k_savova/biocv >> >> >> >> From: Mullane, Sean *HS [mailto:[email protected]] >> Sent: Friday, June 24, 2016 5:04 PM >> To: '[email protected]' <[email protected]> >> Subject: update on temporal relations >> >> >> >> >> There was some mention previously (June 2015, I think) on the mailing >> list about the next release of cTAKES including improved temporal >> relation extraction. Can anyone share information about what >> improvements or new features will be included and when the release is >> expected? >> >> >> >> Thanks, >> >> Sean >> >> >
