| Package | Description |
|---|---|
| com.aliasi.chunk |
Classes for extracting meaningful chunks (spans) of text.
|
| com.aliasi.crf |
Classes and interfaces for conditional random fields.
|
| com.aliasi.hmm |
Classes for estimating and decoding hidden Markov models.
|
| com.aliasi.tag |
Classes and interfaces for sequence tagging, including evaluators.
|
| Modifier and Type | Method and Description |
|---|---|
Iterator<Chunk> |
IoTagChunkCodec.nBestChunks(TagLattice<String> lattice,
int[] tokenStarts,
int[] tokenEnds,
int maxResults) |
Iterator<Chunk> |
TagChunkCodec.nBestChunks(TagLattice<String> lattice,
int[] tokenStarts,
int[] tokenEnds,
int maxResults)
Returns an iterator over chunks extracted in order of highest
probability up to the specified maximum number of results.
|
Iterator<Chunk> |
BioTagChunkCodec.nBestChunks(TagLattice<String> lattice,
int[] tokenStarts,
int[] tokenEnds,
int maxResults) |
| Modifier and Type | Class and Description |
|---|---|
class |
ForwardBackwardTagLattice<E>
The
ForwardBackwardTagLattice provides an implementation of
a tag lattice based on forward, backward, transition and
normalizing values. |
| Modifier and Type | Method and Description |
|---|---|
TagLattice<E> |
ChainCrf.tagMarginal(List<E> tokens) |
| Modifier and Type | Method and Description |
|---|---|
TagLattice<String> |
HmmDecoder.tagMarginal(List<String> tokens) |
| Modifier and Type | Method and Description |
|---|---|
TagLattice<E> |
MarginalTagger.tagMarginal(List<E> tokens)
Return the marginal tagging for the specified list of
input tokens.
|
| Modifier and Type | Method and Description |
|---|---|
void |
MarginalTaggerEvaluator.addCase(Tagging<E> referenceTagging,
TagLattice<E> responseLattice)
Add a case for evaluation consisting of the gold-standard
reference tagging and a lattice representing the output of
a marginal tagger.
|
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