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Word Embeddings
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Word embedding is the collective name for a set of language modeling and feature learning techniques in natural language processing (NLP) where words or phrases from the vocabulary are mapped to vectors of real numbers.
Techniques for learning word embeddings can include Word2Vec, GloVe, and other neural network-based approaches that train on an NLP task such as language modeling or document classification.
<span style="color:grey; opacity: 0.6">( Image credit: Dynamic Word Embedding for Evolving Semantic Discovery )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/nathanshartmann/portuguese_word_embeddings
Portuguese Word Embeddings: Evaluating on Word Analogies and Natural Language Tasks
https://github.com/ncbi-nlp/BLUE_Benchmark
BioSentVec: creating sentence embeddings for biomedical texts
https://github.com/nehalelkaref/towards-a-better-isotropy-to-detect-hatespeech
Representation Degeneration Problem in Training Natural Language Generation Models
https://github.com/network-embeddings/temporal_embedding_matching
Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change
https://github.com/nfriedri/debie-command-line
DebIE: A Platform for Implicit and Explicit Debiasing of Word Embedding Spaces
https://github.com/nfriedri/debie-frontend
A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces
https://github.com/niccolot/NER_biLSTM-CNN
https://github.com/nileshsah/deep-text-classifier
BB_twtr at SemEval-2017 Task 4: Twitter Sentiment Analysis with CNNs and LSTMs
https://github.com/nkcr/overlap-ml
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model
https://github.com/nlp-research/bilm-tf
Evaluation of sentence embeddings in downstream and linguistic probing tasks
https://github.com/nocaps-org/updown-baseline
Guided Open Vocabulary Image Captioning with Constrained Beam Search
https://github.com/nunezpaul/MNIST
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model
https://github.com/nyk510/scdv-python
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms
https://github.com/oapio/nlp-chinese-experiments
https://github.com/omarfoq/unsupervised_translator
https://github.com/omarsar/twitter_crawler_by_keywords
DeepEmo: Learning and Enriching Pattern-Based Emotion Representations
https://github.com/omerlux/NLP-PTB
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model
https://github.com/omerlux/Recurrent_Neural_Network_-_Part_2
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model
https://github.com/onehaitao/CR-CNN-relation-extraction
Classifying Relations by Ranking with Convolutional Neural Networks
https://github.com/osamadev/NER_Using_Spacy
https://github.com/panchambanerjee/Word_embedding_biases
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
https://github.com/parno/autobid
https://github.com/pascal20100/factored_output_layer
Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets
https://github.com/pathway/crosslang_embed
https://github.com/phnk/D7047E
Representation of linguistic form and function in recurrent neural networks
https://github.com/picturate/picturate
https://github.com/pidahbus/DCoM
Sherlock: A Deep Learning Approach to Semantic Data Type Detection
https://github.com/pommedeterresautee/fastrtext
https://github.com/ppapalampidi/GraphTP
https://github.com/ppapalampidi/SUMMER
https://github.com/ppke-nlpg/fastText_factored-cbow
https://github.com/prachetaphadnis/NMT_Seq2Seq_LexicalModel
https://github.com/pth1993/NNVLP
https://github.com/pwiercinski/emoji2vec_pytorch
emoji2vec: Learning Emoji Representations from their Description
https://github.com/qGentry/MetaBiLSTM
Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings
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