50946749d3e774573545ae684f694df6338c567b,allennlp/models/coreference_resolution/coref_v2.py,CoreferenceResolverV2,__init__,#CoreferenceResolverV2#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,64

Before Change

                TimeDistributed(torch.nn.Linear(mention_feedforward.get_output_dim(), 1)))
        self._mention_pruner = SpanPruner(feedforward_scorer)
        self._antecedent_scorer = TimeDistributed(torch.nn.Linear(antecedent_feedforward.get_output_dim(), 1))
        self._head_scorer = TimeDistributed(torch.nn.Linear(context_layer.get_output_dim(), 1))

        // 10 possible distance buckets.
        self._num_distance_buckets = 10
        self._distance_embedding = Embedding(self._num_distance_buckets, feature_size)

After Change

                                                              num_width_embeddings=max_span_width,
                                                              span_width_embedding_dim=feature_size,
                                                              bucket_widths=False)
        self._attentive_span_extractor = SelfAttentiveSpanExtractor(input_dim=text_field_embedder.get_output_dim())

        // 10 possible distance buckets.
        self._num_distance_buckets = 10

Instances