Check whether the data is flat (meaning that it's only a single sample, not even batched). Returns: bool: ``True`` to in

If input is one sample, convert it to a list which contains this unique sample Parameters ---------- input :

Convert input truth output to string representation, usually for writing to file during evaluation Parameters ----------

Given a constraint type and strings `from_tag` and `to_tag` that represent the origin and destination of the transition, return whether t

Keyphrase extraction aims to identify keywords or phrases reflecting the main topics of a document. Args: text: The text content

r""" KMeans algorithm for clustering the sentences by length. Args: x (list[int]): The list of sentence lengths.

See https://github.com/zysite/biaffine-parser/blob/master/parser/utils/alg.py#L7 Args: x(list): Lengths of sentences k(int): s

Identify the language of a given text. Args: text: A document or a list of documents. topk: ``True`` or ``in

Load config from a directory. Args: save_dir: The directory to load config. filename: A file name for config.

A intermediate step between constructor and calling the actual file loading method. Args: data: If data is a file, this method ca

The actual file loading logic. Args: filepath: The path to a dataset.

Try to load transform only. This method might fail due to the fact it avoids building the model. If it do fail, then you have to use

Load vocabularies from a directory. Args: save_dir: The directory to load vocabularies. filename: The name for vocab

Load weights from a directory. Args: save_dir: The directory to load weights from. filename: A file name for weights.

r""" Args: s_arc (~torch.Tensor): ``[batch_size, seq_len, seq_len]``. Scores of all possible arcs. s_s

# Parameters sentences : `List[List[str]]`, required. A list of lists representing the tokenised words and sentences in the document

Applies 1d convolution and a masked max-pooling https://github.com/guillaumegenthial/tf_ner/blob/master/models/chars_conv_lstm_crf/masked_con

A helper method to merge the outputs of split batch back by concatenating the output per span with the key used to split it. It's used in con

Returns unicode string from the last line until the beginning of file. Gets exhausted if:: * already reached the

Generate filename using current datetime, in 20180102_030405 format Args: fmt: (Default value = "%y%m%d_%H%M%S") Returns:

Longest-prefix-matching which tries to match the longest keyword sequentially from the head of the text till its tail. By definition, the matc

Compute the precision. The precision is the ratio ``tp / (tp + fp)`` where ``tp`` is the number of true positives and ``fp`` the number o

Predict on data. This is the base class for all components, including rule based and statistical ones. Args: *args: Any type of dat