Task 12: Clinical TempEval
Clinical TempEval 2016 follows in the footsteps of Clinical TempEval 2015 and the i2b2 2012 shared task in bringing timeline extraction to the clinical domain. Clinical TempEval presents systems with clinical notes and pathology reports for cancer patients from the Mayo Clinic, and asks them to extract the following temporal information:
- TS: identifying the spans of time expressions
- ES: Identifying the spans of event expressions
-
TA: identifying the attributes of time expressions
- type=DATE, TIME, DURATION, QUANTIFIER, PREPOSTEXP or SET
- value=TIMEX3 value string as defined by TimeML
-
EA: identifying the attributes of event expressions
- type=N/A, ASPECTUAL or EVIDENTIAL
- polarity=POS or NEG
- degree=N/A, MOST or LITTLE
- modality=ACTUAL, HEDGED, HYPOTHETICAL or GENERIC
-
DR: identifying the relation between an event and the document creation time
- docTimeRel=BEFORE, OVERLAP, BEFORE-OVERLAP or AFTER
- CR: identifying narrative container relations (CONTAINS a.k.a. INCLUDES)
For example, given the text:
April 23, 2014: The patient did not have any postoperative bleeding so we will resume chemotherapy with a larger bolus on Friday even if there is slight nausea.
Systems should identify:
-
TS:
- April 23, 2014
- postoperative
- Friday
-
ES:
- bleeding
- resume
- chemotherapy
- bolus
- nausea
-
TA:
- April 23, 2014: type=DATE, value=2014-04-23
- postoperative: type=PREPOSTEXP
- Friday: type=DATE, value=2014-04-25
-
EA:
- bleeding: type=N/A, degree=N/A, polarity=NEG, modality=ACTUAL
- resume: type=ASPECTUAL, degree=N/A, polarity=POS, modality=ACTUAL
- chemotherapy: type=N/A, degree=N/A, polarity=POS, modality=ACTUAL
- bolus: type=N/A, degree=N/A, polarity=POS, modality=ACTUAL
- nausea: type=N/A, degree=LITTLE, polarity=POS, modality=HYPOTHETICAL
-
DR:
- bleeding BEFORE docTime
- resume AFTER docTime
- chemotherapy AFTER docTime
- bolus AFTER docTime
- nausea AFTER docTime
-
CR:
- postoperative CONTAINS bleeding
- Friday CONTAINS resume
- Friday CONTAINS bolus
Interested Participants
Please register on the SemEval 2016 site and join the Clinical TempEval Google Group.