NLP 领域常见任务的实现,包括新词发现、以及基于pytorch的词向量、中文文本分类、实体识别、摘要文本生成、句子相似度判断、三元组抽取、预训练模型等。
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Updated
May 20, 2023 - Python
NLP 领域常见任务的实现,包括新词发现、以及基于pytorch的词向量、中文文本分类、实体识别、摘要文本生成、句子相似度判断、三元组抽取、预训练模型等。
Spanish word embeddings computed with different methods and from different corpora
🌸 fastText + Bloom embeddings for compact, full-coverage vectors with spaCy
Tools for shrinking fastText models (in gensim format)
Text to abstract art generation for the holidays!
A monolingual and cross-lingual meta-embedding generation and evaluation framework
Persian sentiment analysis ( آناکاوی سهش های فارسی | تحلیل احساسات فارسی )
PyTorch repository for text categorization and NER experiments in Turkish and English.
Improving Word Translation via Two-Stage Contrastive Learning (ACL 2022). Keywords: Bilingual Lexicon Induction, Word Translation, Cross-Lingual Word Embeddings.
An evaluation of word-embeddings for classification
Repository for the experiments described in the paper named "DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus"
Language Models for the legal domain in Spanish done @ BSC-TEMU within the "Plan de las Tecnologías del Lenguaje" (Plan-TL).
Machine Translation from Sanskrit to Hindi using Unsupervised and Supervised Learning
Ensemble PhoBERT with FastText Embedding to improve performance on Vietnamese Sentiment Analysis tasks.
Improving Bilingual Lexicon Induction with Cross-Encoder Reranking (Findings of EMNLP 2022). Keywords: Bilingual Lexicon Induction, Word Translation, Cross-Lingual Word Embeddings.
Repository for the free online book Oddly Satisfying Deep Learning from Scratch (link below!)
Romanian Word Embeddings. Here you can find pre-trained corpora of word embeddings. Current methods: CBOW, Skip-Gram, Fast-Text (from Gensim library). The .vec and .model files are available for download (all in one archive).
Biomedical Word embeddings generated from Spanish Biomedical corpora.
Machine learning- based solution to the problem of duplicity in the bug reports repository.
This project contains the code to use custom fasttext embeddings with flair framework.
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