Hi Marco
After going through the Warm-up tasks I have started writing the GSOC
proposal. But going through the code-repo and Warm-up tasks I see current
code take as input a Wikipedia corpus and perform the following steps:
1. Verb extraction and ranking
2. Frame Classifier Training
3. Frame Extraction
But in project idea 5.1. it says these steps are to be implemented during
the GSOC period. But I see above steps are already implemented in the
current fact-extractor code right? So what are the project expectations
during the GSOC period? please clarify.
On Wed, Mar 4, 2015 at 1:59 PM, [email protected] <[email protected]>
wrote:
> Hi Kasun,
>
> The sentence substrings identified via entity linking will be the fe
> candidates.
> Then I think you got the idea behind the verb ranking step.
>
> Cheers!
>
> ----- Reply message -----
> Da: "kasun perera" <[email protected]>
> A: "Marco Fossati" <[email protected]>
> Cc: "dbpedia-gsoc" <[email protected]>
> Oggetto: GSOC_2015 Fact Extraction from Wikipedia Text
> Data: mer, mar 4, 2015 07:08
>
>
> Hi Marco
>
> On Mon, Mar 2, 2015 at 5:23 PM, Marco Fossati <[email protected]>
> wrote:
>
>>
>>
>>> 2- Also it mentioned the use of NLP techniques to process Wikipedia
>>> text. Does this means extraction of Dependency relationships to get the
>>> frame elements (FE) and lexical unit(LU)?
>>>
>> Dependency parsing may not be needed, since entity linking can be applied
>> to fulfill the task.
>
>
> I'm not clear what you mean by use of entity-linking to identify FE
> candidates. In general Named entity linking (NEL) means linking the
> mentions of entities in text to a central knowledge base(e.g. Wikipedia).
> Do you mean to use the above concept to find FE's? Can you please clarify
> bit more on use of entity-linking to identify FE's?
>
> This is the my understanding of the step-1 of the idea i.e. Verb
> extraction and Ranking.
> We use a list of domains (e.g. Sports) then dig in to more specific
> sub-domain (e.g. Soccer, Cricket, Rugby ect) of Wikipedia. The navigate to
> specific wiki-pages under the sub domain. For each wiki page we extract and
> rank the verbs based on the sub-domain and higher ranked verbs are used as
> LU's.
> What are your comments about this idea?
>
> Thanks
>
>
>
>
> --
> Regards
>
> Kasun Perera
>
>
--
Regards
Kasun Perera
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