crf_sequence_score: CRF sequence score

In tfaddons: Interface to 'TensorFlow SIG Addons'

Description

Computes the unnormalized score for a tag sequence.

Usage

crf_sequence_score(inputs, tag_indices, 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_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:

Value

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

tfaddons documentation built on July 2, 2020, 2:12 a.m.