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From "Ahmed Abdeen Hamed" <ahmed.elma...@gmail.com>
Subject Re: ConceptMapper POS
Date Wed, 16 Jul 2008 18:20:07 GMT
Can you point me to the source for those UIMA annotators? I would like to
use one of them for a really simple task. Thanks again!Ahmed

On Wed, Jul 16, 2008 at 1:56 PM, Michael Tanenblatt <slothrop@park-slope.net>
wrote:

> I have used the OpenNLP tagger as well as the IBM LanguageWare product,
> both of which are available as UIMA annotators.
>
>
>
> On Jul 16, 2008, at 1:49 PM, Ahmed Abdeen Hamed wrote:
>
>  Thanks Michael. I like the idea of attaching the POS to dictionary terms.
>> What POS tagger are you using then? Is it the Stanford or LingPipe? I
>> doubt
>> that UIMA has a native POS-tagger.Ahmed
>>
>> On Wed, Jul 16, 2008 at 1:24 PM, Michael Tanenblatt <
>> slothrop@park-slope.net>
>> wrote:
>>
>>  ConceptMapper maps entries in the dictionary to new annotations using the
>>> AE descriptor parameters "AttributeList" and "FeatureList". From the
>>> comments in the descriptor:
>>>
>>> AttributeList: List of attribute names for XML dictionary entry record -
>>> must correspond to FeatureList
>>>
>>> FeatureList: List of feature names for CAS annotation - must correspond
>>> to
>>> AttributeList
>>>
>>> In other words, these are two parallel arrays mapping from the attributes
>>> in the dictionary entries to the new annotation features. So, if your
>>> dictionary entries had attributes named "POS_Tag", e.g.:
>>>
>>> <token canonical="abdomen, nos" POS_Tag ="NN" >
>>>  <variant base="abdomen, nos" />
>>>  <variant base="abdomen" />
>>> </token>
>>>
>>> and the resultant annotations had the feature "PartOfSpeechTag", the
>>> parameter "AttributeList" (an array) would have "POS_Tag" at the same
>>> position (array index) as the parameter "FeatureList" would have
>>> "PartOfSpeechTag".
>>>
>>> One key pice of information: ConceptMapper does not do any POS tagging,
>>> it
>>> only maps from the dictionary. In some cases, I have run a
>>> tokenizer/POS-tagger, then use this technique to unconditionally override
>>> the computed POS tag in the token using the
>>> TokenClassWriteBackFeatureNames
>>> parameter. This allows any attributes from the dictionary to be stuffed
>>> back
>>> into all of the matching tokens, which can sometimes be useful...
>>>
>>> TokenClassWriteBackFeatureNames: names of features that should be written
>>> back to a token, such as a POS tag
>>>
>>>
>>>
>>>
>>>
>>> On Jul 16, 2008, at 1:07 PM, Ahmed Abdeen Hamed wrote:
>>>
>>> Hello,TokenAnnotation objects don't get fully populated with data after
>>>
>>>> annotation. For instance, POS feature returns null when printing out an
>>>> annotation object. Apparently, this feature needs to be set while doing
>>>> the
>>>> annotation. How does ConceptMapper do the POS tagging? I appreciate any
>>>> insights!
>>>> Best wishes,
>>>> Ahmed
>>>>
>>>>
>>>
>>>
>

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