Reverse Dependencies of pymultirole-plugins

The following projects have a declared dependency on pymultirole-plugins:

• pyannotators-acronyms — Annotator based on Spacy NER
• pyannotators-duckling — Annotator based on Facebook Duckling
• pyannotators-keybert — Annotator based on Huggingface transformers zero-shot classification pipeline
• pyannotators-patterns — Annotator based on Presidio pattern recognizer
• pyannotators-spacymatcher — SpacyMatcher annotator using the spacy rule-matching engine
• pyannotators-spacyner — Annotator based on Spacy NER
• pyannotators-stefan — My new Stefan Annotator
• pyannotators-trankitner — Annotator based on Trankit NER
• pyannotators-trfclassifier — Classifier based on Huggingface Text Classification pipeline
• pyannotators-zeroshotclassifier — Annotator based on Huggingface transformers zero-shot classification pipeline
• pyconverters-cairn_xml — Cairn.info XML converter.
• pyconverters-deeptranscript — DeepTranscript converter.
• pyconverters-grobid — Convert PDF to structured text using Grobid
• pyconverters-inscriptis — Sherpa HTML inscriptis converter
• pyconverters-isako — Convert PDF to structured text using Isako
• pyconverters-newsml — NewsML converter (AFP news)
• pyconverters-ocrmypdf — Convert OCRized PDF to text using [OCRmyPDF]
• pyconverters-openai_audio — OpenAIAudio converter
• pyconverters-openai_vision — OpenAIVision converter
• pyconverters-pubmedfetcher — Pubmed converter.
• pyconverters-rf_audio — RFAudio converter
• pyconverters-speech — Speech recognition converter based on Huggingface pipeline
• pyconverters-whisperx — WhisperX converter.
• pyformatters-afp_quality — Sherpa AFP Quality formatter
• pyformatters-bel_table — Sherpa BELTable formatter
• pyformatters-consolidate — Sherpa Consolidation formatter
• pyformatters-summarizer — Formatter based on Huggingface transformers summarization pipeline
• pyformatters-tabular — Sherpa Tabular formatter
• pyformatters-textranksummarizer — Formatter/processor based on TextRank
• pyformatters-xml-rf — Sherpa XML RF formatter
• pyprocessors-afp_entities — Sherpa Consolidation processor
• pyprocessors-afp_keywords — Processor based on Huggingface transformers zero-shot classification pipeline
• pyprocessors-afp_sports — Sherpa Consolidation processor
• pyprocessors-bel_entities — Sherpa Consolidation processor
• pyprocessors-categories_from_annotations — Sherpa transform annotations to categories processor
• pyprocessors-chunk_sentences — Sherpa sentence chunking processor
• pyprocessors-consolidate — Sherpa Consolidation processor
• pyprocessors-deepl — DeepL processor
• pyprocessors-document_fingerprint — Sherpa Consolidation processor
• pyprocessors-escrim_reconciliation — Sherpa ESCRIM processor
• pyprocessors-gallery — Multirole to be used as a test gallery for the UI
• pyprocessors-generative_augmenter — GenerativeazA$$ processor
• pyprocessors-mazars_table — Sherpa Mazars normalizer
• pyprocessors-normalizer — Sherpa git initnormalizer
• pyprocessors-openai_completion — OpenAICompletion processor
• pyprocessors-opennre — Processor based on Huggingface transformers zero-shot classification pipeline
• pyprocessors-pseudonimizer — Processor based on Presidio anonymizer
• pyprocessors-q_and_a — Processor based on Huggingface transformers Q&A pipeline
• pyprocessors-readinggrid — Processor that generate a focussed reading-grid (keep only the sentences containing annotation)
• pyprocessors-reconciliation — Sherpa reconciliation processor
• pyprocessors-restore_punctuation — Sherpa sentence chunking processor
• pyprocessors-rf_consolidate — RF Consolidation processor
• pyprocessors-search_segments — Similar segments processor
• pyprocessors-segment_renseignor — Sherpa Consolidation processor
• pyprocessors-silero — text repunctuation and recapitalization for
• pyprocessors-silero_te — text repunctuation and recapitalization for
• pyprocessors-similar_segments — Similar segments processor
• pyprocessors-tag2segment — Sherpa Consolidation processor
• pysegmenters-blingfire — Segmenter based on Spacy
• pysegmenters-pysdb — Rule-based segmenter
• pysegmenters-rules — Rule-based segmenter
• pysegmenters-rules_segmenter — Rule-based segmenter
• pysegmenters-spacyrules — Segmenter based on Spacy