[Corpora-List] event-participants-time-location-etc tagger
Fatemeh Torabi Asr
torabiasr at gmail.com
Thu Dec 19 10:45:19 UTC 2013
Hi Joel
Thanks a lot, that's a useful answer. I didn't know those packages are
available now for download. In addition to what I see in the TimeML format
the event participants are needed to be detected for my task (semantic
roles should appear somewhere in the output annotated text). This I guess
is missing in what I get after an end-to-end (ABC TempEval 2013) type
running of the packages. That was why I exemplified the FASTUS :)
Best wishes,
Fatemeh
On Tue, Dec 17, 2013 at 10:22 PM, Joel Nothman <joel at it.usyd.edu.au> wrote:
> Hi Fatemeh,
>
> On Wed, Dec 18, 2013 at 4:47 AM, Fatemeh Torabi Asr <torabiasr at gmail.com>wrote:
>
>> Hi all,
>>
>> Does anybody know of the latest [state-of-the-art] [efficient] [open
>> source] package or toolkit for detecting events plus whatever within
>> document information about them (the more the better).
>>
>> Most favorable example which I copy from FASTUS old paper:
>>
>> *Incident: Date* - 19 Apr 89*Incident: Location* El Salvador: San Salvador (CITY)*Incident: Type* Bombing*Perpetrator: Individual ID* "urban guerrillas"*Perpetrator: Organization ID* "FMLN"*Perpetrator: Organization* Suspected or Accused by Authorities: "FMLN"
>> *Confidence* *Physical Target: Description* "vehicle"*Physical Target: Effect* Some Damage: "vehicle"*Human Target: Name* "Roberto Garcia Alvarado"*Human Target: Description* "attorney general": "Roberto Garcia Alvarado"
>> "driver"
>> "bodyguards"*Human Target: Effect* Death: "Roberto Garcia Alvarado"
>> No Injury: "driver"
>> Injury: "bodyguards"
>>
>> This sort of extraction is very task-dependent (do you actually want to
> extract Latin American terrorist incidents?), and I'm not sure what's
> available as software.
>
>> A second related question: is TARSQI the best implementation of the TimeML which is readily available?
>>
>> No. Some of the systems that performed well at the recent TempEval
> evaluations of TimeML technology are available online:
>
> - TIMEE/TIPSem by Hector Llorens: http://gplsi.dlsi.ua.es/demos/TIMEE/ (binary
> release)
> - ClearTk,including Steven Bethard's TimeML tagger:
> https://code.google.com/p/cleartk/ (open-source, built on UIMA)
>
> Other tools are available for individual components of the task, such as
> temporal expression recognition and normalisation (e.g.
> https://code.google.com/p/heideltime/).
>
> Cheers,
>
> Joel Nothman
> Schwa Lab
> School of IT
> University of Sydney
>
--
Fatemeh
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