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TimeML Time Tagging
Attempt to identify time references in text.
Interpreted the identified cases Convert information into standard
template Extract time, date, duration Tag using TimeML standard
Segmenting Sentences
I will see you tomorrow morning.
I
will
see
you
tomorrow
morning.
•All information is preserved•Words separated by spaces•Segmentation is indiscriminate and blind to special cases
Chunking Compound Words
The site dates to the stone age.
The
site
dates
to
the
stone
age.
The
site
dates
to
the
stone age.
Tagging Words
IN – Prepositions MONEY NUM – pure numbers POINT – this, that, next, last POSTPROP – Postpositions “ago” QTY – Quantity “many”, “few” RELATIVE – “later” TIME – “year”, “month” TIMEPROP – proper names, “Wednesday”
Tagging Words (page 2)on Saturday January 29,
1955 we went to the park.
On IN
Saturday
TP
January TP
29 NUM
1955 NUM
we
went
to IN
the
park.
I will be here tomorrow.
I
will
be
here
tomorrow.
TIME
Chunking Time Related Phrases Combinations of tagged words are
matched to predefined templates The templates attempt to find
relevant results and filter noise.
Chunking Time Related Phraseson Saturday January 29,
1955 we went to the park.
On IN
Saturday
TP
January TP
29 NUM
1955 NUM
we
went
to IN
the
park.
INTTNN – matched to template
IN – not matched, reference ignored
Value Extractionon Saturday January 29,
1955 we went to the park.
On IN
Saturday
TP
January TP
29 NUM
1955 NUM
we
went
to IN
the
park.
INTTNN – matched to template• Converts extracted data to standard format defined by TimeML Annotation Guidelines.• value=“YYYY-MM-DD”•value=“1955-01-29”
Value Extraction – Smart TagTomorrow we will go to the
park.
Tomorrow
TIME
we
will
go
to IN
the
park.
T – matched to template• Using contextual date from document•From last slide value=“1955-01-29”• value=“1955-01-30” ->uses context•Attempts to update contextual data with most recent information
Value Extraction – Smart TagMonday we will go to the
park.
Monday TIMEPROP
we
will
go
to IN
the
park.
TP – matched to template• Using contextual date from document•From last slide value=“1955-01-29”
•Saturday• value=“1955-01-31” ->uses context•Attempts to update contextual data with most recent information
Value Extraction – Smart TagMonday we will go to the
park.
Monday TIMEPROP
10:30 TIMEPROP
we
will
go
to IN
the
park.
TPTP – matched to template• Using contextual date from document•From last slide value=“1955-01-29”
•Saturday• value=“1955-01-31T10:30” ->uses context•Attempts to update contextual data with most recent information