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5d2b107e99
* stop word tokenizer implementation * - Addition of all-mini-lm-l6-v2 * initial implementation of keyword scorer * Cosine Similarity keyword extraction * Added lower case parsing from tokenizer config for sentence embeddings * Initial draft of pipeline complete * Addition of Maximal Marginal relevance scorer * Addition of Max Sum scorer * Lowercase and ngrams handling * Improved n-gram handling * Skip n-grams containing stopwords * Fixed short sentence input and added documentation * Updated documentation and defaults, added example * Addition of tests for keywords extractions * Updated changelog * Fixed Clippy warnings |
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| .. | ||
| async-sentiment.rs | ||
| conversation.rs | ||
| generation_gpt2.rs | ||
| generation_gpt_neo.rs | ||
| generation_reformer.rs | ||
| generation_xlnet.rs | ||
| keyword_extraction.rs | ||
| masked_language_model_bert.rs | ||
| named_entities_recognition.rs | ||
| natural_language_inference_deberta.rs | ||
| part_of_speech_tagging.rs | ||
| question_answering_bert.rs | ||
| question_answering_longformer.rs | ||
| question_answering_squad.rs | ||
| question_answering.rs | ||
| sentence_embeddings_local.rs | ||
| sentence_embeddings.rs | ||
| sentiment_analysis_fnet.rs | ||
| sentiment_analysis_sst2.rs | ||
| sentiment_analysis.rs | ||
| sequence_classification_multilabel.rs | ||
| sequence_classification.rs | ||
| summarization_bart.rs | ||
| summarization_pegasus.rs | ||
| summarization_prophetnet.rs | ||
| summarization_t5.rs | ||
| token_classification.rs | ||
| translation_builder.rs | ||
| translation_m2m100.rs | ||
| translation_marian.rs | ||
| translation_mbart.rs | ||
| translation_t5.rs | ||
| zero_shot_classification.rs | ||