Semantic Parser
In this section we will be showcasing the semantic parser, which is a very important module of EDDI that plays the part of the engine that parses the semantics introduced in EDDI Chabot's definitions.
We will need regular dictionaries in order to store our custom words and phrases .
First, we will make a POST
to /regulardictionarystore/regulardictionaries
with a JSON
in the body like this:
The API should return with 201
with a URI referencing the newly created dictionary :
eddi://ai.labs.regulardictionary/regulardictionarystore/regulardictionaries/
<UNIQUE_ID>
?version=
<VERSION>
This URI
will be used in the parser configuration.
The next step is to create a parser configuration
, including the reference to the previously created dictionary
.
A POST
to /parserstore/parsers
must be performed.
Submit this type of JSON
Important: Don't forget to replace the
<UNIQUE_ID>
and<VERSION>
!
Example of a parser configuration
Description of Semantic Parser types
Type | EDDI URI | Description |
Integer |
| Matches all positive integers |
Decimal |
| Matches decimal numbers with |
Punctuation |
| Matches common punctuation:
|
| Matches an email address with regex | |
Time |
| Matches the following time formats: e.g : 01:20 , 01h20 , 22:40 , 13:43:23 |
Number |
| Ordinal numbers in English language such as 1st, 2nd, 3rd, 4th, 5th, ... |
Regular |
| URI to a regular dictionary resource: |
In order to use the parser based on the created configurations, we will have to make a POST
to /parser/
<PARSER_ID>
?version=
<VERSION>
In the body just put plain text, it is what you would like to be parsed.
The parser will return expressions
representing the elements from your plain text
Note: Keep in mind that this parser is made for human dialog, not parsing (
full-text
) documents.
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