chore: bump version to 0.10.6

Changelog

Added batch_by, split_into_batches_after, sort_chunks, chunk_size, disable_implicit_parallelism parameters to processing (simple and multiprocessing) backends to improve performance and memory usage. Sorting chunks can improve yield up to twice the speed in some cases.
The deep learning cache mechanism now supports multitask models with weight sharing in multiprocessing mode.
Added max_tokens_per_device="auto" parameter to eds.transformer to estimate memory usage and automatically split the input into chunks that fit into the GPU.

Improved speed and memory usage of the eds.text_cnn pipe by running the CNN on a non-padded version of its input: expect a speedup up to 1.3x in real-world use cases.
Deprecate the converters' (especially for BRAT/Standoff data) bool_attributes parameter in favor of general default_attributes. This new mapping describes how to set attributes on spans for which no attribute value was found in the input format. This is especially useful for negation, or frequent attributes values (e.g. "negated" is often False, "temporal" is often "present"), that annotators may not want to annotate every time.
Default eds.ner_crf window is now set to 40 and stride set to 20, as it doesn't affect throughput (compared to before, window set to 20) and improves accuracy.
New default overlap_policy='merge' option and parameter renaming in eds.span_context_getter (which replaces eds.span_sentence_getter)

Improved error handling in multiprocessing backend (e.g., no more deadlock)
Various improvements to the data processing related documentation pages
Begin of sentence / end of sentence transitions of the eds.ner_crf component are now disabled when windows are used (e.g., neither window=1 equivalent to softmax and window=0equivalent to default full sequence Viterbi decoding)
eds tokenizer nows inherits from spacy.Tokenizer to avoid typing errors
Only match 'ne' negation pattern when not part of another word to avoid false positives cases like u[ne] cure de 10 jours
Disabled pipes are now correctly ignored in the Pipeline.preprocess method
Add "eventuel*" patterns to eds.hyphothesis