Difference between revisions of "Corpus Relation Extraction"
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== Advanced Options == | == Advanced Options == | ||
| − | The following panel allows for ''Relation Extraction Advanced Options'''. | + | The following panel allows for ''Relation Extraction Advanced Options'''. Here, you can filter relations by relation types or advanced model options. |
=== Relation Types === | === Relation Types === | ||
| − | + | You can select at previous the relations type that prefer. | |
[[Image:RE3_2.png|800px|center]] | [[Image:RE3_2.png|800px|center]] | ||
Revision as of 20:51, 16 November 2013
Contents
Operation
To perform a Relation Extraction (RE) process based in Natutal Language Processing algorithms, you should right click a Corpus data-type object and select the option Corpus -> RE-> Relation Extraction. If the Corpus is not in the clipboard, you should begin by loading the Corpus to the Clipboard.
A new wizard is presented that allows to configure the RE process.
Entity Process Selection
The first panel enables the selection of the processes that contain the entities annotated, allowing to view some statistics and process properties. After selecting the process press Next to continue.
POS-Tagger selection
The next panel allows for POS-Tagger selection. Here, you select which POS-Tagger will be used, and some information about its origin and properties will be presented. After choosing the desired POS-Tagger press Next to continue.
Relation Extraction Model Selection
The following panel allows for Relation Extraction Model Selection. Select the most adequate model (the panel below shows the expected type of results). After selecting the best model press Next.
Advanced Options
The following panel allows for Relation Extraction Advanced Options'. Here, you can filter relations by relation types or advanced model options.
Relation Types
You can select at previous the relations type that prefer.
Advanced Model Options
The user can select one of the advance relation model option.
- Using Max-Distance Verb-Entities: Define the max distance between Clue(Verb) and entities (in characters)
- Only Use Nearest Entities: Just use Nearest Verb Entities to form relations.
- Only Entities Nearest Verb: Witch Entity just form relations in closest verb.
Verb List Filter
The next panel allows choosing if a Verb List will be used to filter the results and define this list. You can select a list of verbs (a Lexical Words object) that will not be used to create relations Typically, this will be used to avoid relations with common English verbs (e.g. be, do).
Verb List Added
The next panel allows choosing an additional Verb List. You can select a list of verbs (a Lexical Words object) to add as relation clues, i.e. they provide a complement to the verbs list used internally by @Note. Once this option is selected, press Ok.
Result
The RE operation will start and a progress window is shown, indicating the execution of the operation. The RE operation will take a few minutes or hours, depending on corpus size.
When the process ends, a new RE Process object will be added to the Corpus Process View.
