crf_multitag_sequence_score {tfaddons}R Documentation

CRF multitag sequence score

Description

Computes the unnormalized score of all tag sequences matching

Usage

crf_multitag_sequence_score(
  inputs,
  tag_bitmap,
  sequence_lengths,
  transition_params
)

Arguments

inputs

A [batch_size, max_seq_len, num_tags] tensor of unary potentials to use as input to the CRF layer.

tag_bitmap

A [batch_size, max_seq_len, num_tags] boolean tensor representing all active tags at each index for which to calculate the unnormalized score.

sequence_lengths

A [batch_size] vector of true sequence lengths.

transition_params

A [num_tags, num_tags] transition matrix.

Details

tag_bitmap. tag_bitmap enables more than one tag to be considered correct at each time step. This is useful when an observed output at a given time step is consistent with more than one tag, and thus the log likelihood of that observation must take into account all possible consistent tags. Using one-hot vectors in tag_bitmap gives results identical to crf_sequence_score.

Value

sequence_scores: A [batch_size] vector of unnormalized sequence scores.


[Package tfaddons version 0.10.0 Index]