Computes the unnormalized score for a tag sequence.
tf.contrib.crf.crf_sequence_score(
inputs, tag_indices, sequence_lengths, transition_params
)
Args |
inputs
|
A [batch_size, max_seq_len, num_tags] tensor of unary potentials
to use as input to the CRF layer.
|
tag_indices
|
A [batch_size, max_seq_len] matrix of tag indices for which we
compute the unnormalized score.
|
sequence_lengths
|
A [batch_size] vector of true sequence lengths.
|
transition_params
|
A [num_tags, num_tags] transition matrix.
|
Returns |
sequence_scores
|
A [batch_size] vector of unnormalized sequence scores.
|