Do you have any sample document URLs? That would help anyone seeking to
respond to your request that produces these kinds of solutions.
Here's a text sample. There's actually quite a lot of salient information
to extract: Persons, inter-personal relationships, locations, events
(including sequence). But I'm not looking for comprehensive narrative
mining. For now, I'm looking only for limited relation extraction and
representation, to support queries across the relationship graph.
Sandy was removed from her home by CPS and placed in foster care
after her class teacher observed multiple bruises on Sandy's body. It is
alleged that mother's boyfriend inflicted the injuries. Mother claims she
was unaware of the injuries. Mother has a history of reported drug and
alcohol use and was intoxicated at the time of CPS investigation. Sandy is
currently placed in the agency-operated foster boarding home of Ms. Jones.
Child's mother is allowed to have supervised visits at the foster care
agency until the next planning conference. Caseworker visited the foster
boarding home of Ms. Jones today to assess Sandy's adjustment to placement
with the Jones' family. Present in Ms. Jones's home were Ms. Jones, her
two daughters (Erika and Mona), and her foster child, Sandy. Ms. Jones
said her husband was away on business as an insurance evaluator. The home
was messy with clothes strewn all over the living room floor. The sink was
piled high with dirty dishes and two roaches were observed crawling on the
wall. There were an opened box of cereal, bread, and peanut butter on the
dining table. The apartment is sparsely furnished with a dining table and
chairs, a sofa that is fabric upholstered and heavily soiled, and a
television set. The sleeping arrangement is adequate but there are no
closets or chests of drawers to store the children's clothing. Mary has
her own bedroom and Johnny and Jonathan share a bedroom with two small
beds. Ms. Brown has her own bedroom. The home has safety devices installed
(window guards, fire and carbon monoxide alarms). Ms. White, Sandy's
mother came to the office today for a supervised visit. Mother looked
somewhat disheveled; her hair was uncombed, her clothes were heavily
soiled and she smelled of alcohol. Caseworker asked mother if she had been
drinking. Mother said she had just had a beer. Sandy took a while to warm
up to her mother. Mother brought a packet of potato chips for Sandy. Sandy
took the chips after much prodding from Ms. Jones but returned to snuggle
up to Ms. Jones. Sandy disclosed to caseworker that she was fearful of
returning home in case mother's boyfriend hurt her again. Sandy said
mother's boyfriend often hit her for no reason.
Thanks,
Seth
On Mon, 18 Apr 2016, Kingsley Idehen wrote:
On 4/18/16 2:47 PM, Seth Grimes wrote:
Yes, that's pretty much it, thanks. Anaphora (pronoun) resolution
would be a big plus.
Seth
Do you have any sample document URLs? That would help anyone seeking to
respond to your request that produces these kinds of solutions.
Kingsley
On Mon, 18 Apr 2016, Kingsley Idehen wrote:
On 4/18/16 9:44 AM, Seth Grimes wrote:
Hello,
Are there any available information-extraction systems that
implement the FOAF Relationship vocabulary
(http://vocab.org/relationship/)? By available, I mean commercial or
open source and currently maintained. My particular interest at this
moment is identification and extraction of familial relationships from
documents, and preferably also of attributes associated with the
relationships, and representation of extracted relationships.
Thanks,
Seth
--
Seth Grimes gri...@altaplana.com +1 301-270-0795 @sethgrimes
Alta Plana Corp, analytics strategy consulting, http://altaplana.com
Sentiment Analysis Symposium, July 12 in NYC, SentimentSymposium.com
Hi Seth,
Are you looking for technology that would perform the following tasks?
[1] analyze a document containing a collection of English sentences
representing familial relationships
[2] extract said relationships and then convert to RDF sentences using
terms from the FOAF vocabulary
[3] return an RDF document and the final output artifact.
I've copied the LOD list in on this response to broaden audience for
this exchange.
--
Seth Grimes gri...@altaplana.com +1 301-270-0795 @sethgrimes
Alta Plana Corp, analytics strategy consulting, http://altaplana.com
Sentiment Analysis Symposium, July 12 in NYC, SentimentSymposium.com
--
Seth Grimes gri...@altaplana.com +1 301-270-0795 @sethgrimes
Alta Plana Corp, analytics strategy consulting, http://altaplana.com
Sentiment Analysis Symposium, July 12 in NYC, SentimentSymposium.com
