文件名称：compling_nlp_hse_course：МатериалыкурсапокомпьютернойлингвистикеШколыЛингвистикиНИУВШЭ
文件大小：83.11MB
文件格式：ZIP
更新时间：2024-02-24 12:34:57
python nlp machine-learning course computational-linguistics
compling_nlp_hse_course：МатериалыкурсапокомпьютернойлингвистикеШколыЛингвистикиНИУВШЭ
【文件预览】：
compling_nlp_hse_course-master
----reading()
--------readme.md(223B)
----notebooks()
--------Sentence_tokenizer.ipynb(70KB)
--------srl.ipynb(21KB)
--------Dependencies.ipynb(115KB)
--------Fine_tunining_pretrained_LMs.ipynb(43KB)
--------Spellchecking.ipynb(49KB)
--------Language_Detection.ipynb(53KB)
--------Question_answering.ipynb(886KB)
--------natasha.ipynb(404KB)
--------Keyword_extraction.ipynb(87KB)
--------Topic_model_gensim_sklearn.ipynb(9.96MB)
--------Relation_extraction.ipynb(28KB)
--------spellcheck.ipynb(31KB)
--------MEMM_viterbi.ipynb(24KB)
--------random_stuff.ipynb(75KB)
--------Topic_model_BigARTM.ipynb(191KB)
--------README.md(21B)
--------deep_pavlov_ner.ipynb(155KB)
--------Ngrams.ipynb(50KB)
--------Dependencies_v2.ipynb(201KB)
--------collocations.ipynb(47KB)
--------Морфологическая дизамбигуация.ipynb(15KB)
--------Морфология.ipynb(15KB)
--------Embeddings.ipynb(273KB)
--------Topic_model_BigARTM_for_colab.ipynb(28KB)
--------WSD_WSI.ipynb(133KB)
--------Preprocessing.ipynb(119KB)
--------morpho_disamb.ipynb(56KB)
--------NER.ipynb(41KB)
----_layouts()
--------default.html(2KB)
----slides()
--------CL2Mag_L_WSD1.pptx(3.2MB)
--------CL2_L_KeyWords.pptx(2.08MB)
--------CL2_OpinionMining_Lexicons.pptx(2.03MB)
--------README.md(39B)
--------CL2_L_Collocations.pptx(3MB)
--------CL2_L_WSD_ML.pptx(3.67MB)
----assets()
--------css()
----curriculum.md(7KB)
----README.md(2KB)
----resources.md(278B)
----2020()
--------Collocations.ipynb(93KB)
--------Bag_of_words_classification.ipynb(55KB)
--------Spellchecking.ipynb(51KB)
--------1_Preprocessing.ipynb(194KB)
--------Topic_model_gensim_sklearn.ipynb(6.6MB)
--------Topic_model_BigARTM.ipynb(70KB)
--------RegExp_Basics.ipynb(23KB)
--------HW_1_Feedback.ipynb(20KB)
--------Ngrams.ipynb(25KB)
--------Embeddings.ipynb(458KB)
--------Topic_model_BigARTM_for_colab.ipynb(170KB)
--------readme.md(1KB)
----data()
--------besy_dostoevsky.txt(2.23MB)
--------lenta.txt.zip(5.46MB)
--------corpus_500.txt(1.13MB)
--------dataset_ok.csv.zip(3.24MB)
--------ng_1.jsonlines(11.28MB)
--------correct_sents.txt(118KB)
--------wiki_data.txt.zip(17.84MB)
--------wiki_texts_test.json(821KB)
--------dirty_text.txt(245KB)
--------anna_karenina.txt(2.93MB)
--------sents_with_mistakes.txt(120KB)
--------news.zip(273KB)
--------sents.txt(56KB)
--------README.md(16B)
--------wiki_texts.json(8.1MB)
--------2ch_corpus.txt.zip(5.97MB)
--------few_shot()
--------zhivago.txt(1.87MB)
--------dependencies_10000_sent.zip(2.42MB)
--------corpus_ng.txt(20.91MB)
--------habr_texts.txt.zip(17.78MB)
--------pristavki.csv(2.8MB)
----english_notebooks()
--------Topic_model_gensim_sklearn_eng.ipynb(6.55MB)
--------Preprocessing_Eng.ipynb(84KB)
--------Ngrams-Eng.ipynb(39KB)
--------Embeddings.ipynb(162KB)
--------readme.md(1B)
----hw.md(187B)
----_config.yml(197B)