Creates examples for the training and dev sets.

Converts BIO formatted SRL tags to the format required for evaluation with the official CONLL 2005 perl script. Spans are represented by brac

An iterator over the sentences in an individual CONLL formatted file.

If no closure is supplied, :attr:`step` should be called after ``fp16_optimizer_obj.backward(loss)``. :attr:`step` updates t

Creates examples for the training and dev sets.

Creates examples for the training and dev sets.

Creates examples for the training and dev sets.

Reads a tab separated value file.

An iterator returning file_paths in a directory containing CONLL-formatted files.

Get subj/obj position sequence.

Save a model and its configuration file to a directory, so that it can be re-loaded using the `:func: from_pretrained`` class method.

In PyTorch 1.0, Tensor._sparse_mask was changed to Tensor.sparse_mask. This wrapper allows AllenNLP to (temporarily) work with both 1.0 and 0

Wordpiece-tokenize a list of tokens and return vocab ids.

Apply conversion to val. Recursively apply conversion if `val` is a nested tuple/list structure.

Given a sequence of tags, group entities and their position Args: seq: [4, 4, 0, 0, ...] sequence of labels tags: dict

Gets the list of labels for this data set.

Copy master parameters to model parameters. Args: model_params: List of model parameters created by :func:`prep_param_lists`.

Performs a single optimization step. Parameters ---------- closure : ``callable``, optional. A closure th

We take `pre-tokenized` input here, along with a verb label. The verb label should be a one-hot binary vector, the same length as th

We take `pre-tokenized` input here, along with a verb label. The verb label should be a one-hot binary vector, the same length as th

Prints predicate argument predictions and gold labels for a single verbal predicate in a sentence to two provided file references. The Co

Zero fp32 and fp16 parameter grads.

Utility function for network_to_half(). Retained for legacy purposes.

Converts a series of BIO tags to account for a wordpiece tokenizer, extending/modifying BIO tags where appropriate to deal with words which

Converts binary verb indicators to account for a wordpiece tokenizer, extending/modifying BIO tags where appropriate to deal with words which

Converts binary verb indicators to account for a wordpiece tokenizer, extending/modifying BIO tags where appropriate to deal with words which

Creates examples for the training and dev sets.

Iterates over the Ontonotes 5.0 dataset using an optional domain identifier. If the domain identifier is present, only examples which

Iterates over the Ontonotes 5.0 dataset using an optional domain identifier. If the domain identifier is present, only examples which

For a given coref label, add it to a currently open span(s), complete a span(s) or ignore it, if it is outside of all spans. This met

Given a sequence of different label types for a single word and the current span label we are inside, compute the BIO tag for each la

Given a sequence of different label types for a single word and the current span label we are inside, compute the BIO tag for each la

Convert a list of tokens to wordpiece tokens and offsets, as well as adding BERT CLS and SEP tokens to the begining and end of the se

Convert a list of tokens to wordpiece tokens and offsets, as well as adding BERT CLS and SEP tokens to the begining and end of the se

Loads a data file into a list of `InputBatch`s

Converts a module's immediate parameters and buffers to dtype.

Converts a network's parameters and buffers to dtype.

An iterator over CONLL formatted files which yields documents, regardless of the number of document annotations in a particular file.

An iterator over CONLL formatted files which yields documents, regardless of the number of document annotations in a particular file.

An iterator returning file_paths in a directory containing CONLL-formatted files.