| Safe Haskell | None |
|---|---|
| Language | Haskell2010 |
NLP.Nerf.Schema
Description
Observation schema blocks for Nerf.
Synopsis
- type Ox a = Ox Word Text a
- type Schema a = Vector Word -> Int -> Ox a
- void :: a -> Schema a
- sequenceS_ :: [Vector Word -> a -> Ox b] -> Vector Word -> a -> Ox ()
- schematize :: Schema a -> [Word] -> Sent Ob
- data Body a = Body {}
- type Entry a = Maybe (Body a)
- entry :: [Int] -> Entry ()
- entryWith :: a -> [Int] -> Entry a
- data SchemaConf = SchemaConf {}
- nullConf :: SchemaConf
- defaultConf :: [Dict] -> Maybe Dict -> Maybe Dict -> IO SchemaConf
- fromConf :: SchemaConf -> Schema ()
- type Block a = Vector Word -> [Int] -> Ox a
- fromBlock :: Block a -> [Int] -> Schema a
- orthB :: Block ()
- splitOrthB :: Block ()
- lowPrefixesB :: [Int] -> Block ()
- lowSuffixesB :: [Int] -> Block ()
- lemmaB :: Int -> Block ()
- shapeB :: Block ()
- packedB :: Block ()
- shapePairB :: Block ()
- packedPairB :: Block ()
- dictB :: Dict -> Block ()
Types
type Ox a = Ox Word Text a Source #
The Ox monad specialized to word token type and text observations.
type Schema a = Vector Word -> Int -> Ox a Source #
A schema is a block of the Ox computation performed within the context of the sentence and the absolute sentence position.
sequenceS_ :: [Vector Word -> a -> Ox b] -> Vector Word -> a -> Ox () Source #
Sequence the list of schemas (or blocks) and discard individual values.
Usage
schematize :: Schema a -> [Word] -> Sent Ob Source #
Use the schema to extract observations from the sentence.
Configuration
Body of configuration entry.
Constructors
| Body | |
data SchemaConf Source #
Configuration of the schema. All configuration elements specify the
range over which a particular observation type should be taken on account.
For example, the [-1, 0, 2] range means that observations of particular
type will be extracted with respect to previous (k - 1), current (k)
and after the next (k + 2) positions when identifying the observation
set for position k in the input sentence.
Constructors
| SchemaConf | |
Fields
| |
Instances
| Show SchemaConf Source # | |
Defined in NLP.Nerf.Schema Methods showsPrec :: Int -> SchemaConf -> ShowS # show :: SchemaConf -> String # showList :: [SchemaConf] -> ShowS # | |
| Binary SchemaConf Source # | |
Defined in NLP.Nerf.Schema | |
nullConf :: SchemaConf Source #
Null configuration of the observation schema.
Arguments
| :: [Dict] | Named Entity dictionaries |
| -> Maybe Dict | Dictionary of internal triggers |
| -> Maybe Dict | Dictionary of external triggers |
| -> IO SchemaConf |
Default configuration of the observation schema.
fromConf :: SchemaConf -> Schema () Source #
Build the schema based on the configuration.
Schema blocks
type Block a = Vector Word -> [Int] -> Ox a Source #
A block is a chunk of the Ox computation performed within the context of the sentence and the list of absolute sentence positions.
fromBlock :: Block a -> [Int] -> Schema a Source #
Transform the block to the schema depending on the list of relative sentence positions.
splitOrthB :: Block () Source #
Orthographic form split into two observations: the lowercased form and the original form (only when different than the lowercased one).
lowPrefixesB :: [Int] -> Block () Source #
List of lowercased prefixes of given lengths.
lowSuffixesB :: [Int] -> Block () Source #
List of lowercased suffixes of given lengths.
lemmaB :: Int -> Block () Source #
Lemma substitute parametrized by the number specifying the span
over which lowercased prefixes and suffixes will be saved.
For example, lemmaB 2 will take affixes of lengths 0, -1 and -2
on account.
shapePairB :: Block () Source #
Combined shapes of two consecutive (at k-1 and k positions) words.
packedPairB :: Block () Source #
Combined packed shapes of two consecutive (at k-1 and k positions)
words.