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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/SagarDollin/unsupervised_WSD_on_top_of_word2vec

A Simple Approach to Learn Polysemous Word Embeddings

https://github.com/SarangShaikh201/fastText

Enriching Word Vectors with Subword Information

https://github.com/Shujian2015/meta-embedding-paper-list

Learning Meta-Embeddings by Using Ensembles of Embedding Sets

https://github.com/SilverQ/NER_Final

Few-shot Learning for Named Entity Recognition in Medical Text

https://github.com/SilverQ/NamedEntityRecognition

Few-shot Learning for Named Entity Recognition in Medical Text

https://github.com/SimengSun/CIS530-project

Unsupervised Learning of Sentence Embeddings using Compositional n-Gram Features

https://github.com/SteffenEger/ocr_spelling_deuparl

Diachronic Analysis of German Parliamentary Proceedings: Ideological Shifts through the Lens of Political Biases

https://github.com/SuphanutN/Thai-NER-BiLSTM-WordCharEmbedding

Optimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling Tasks

https://github.com/SuphanutN/Thai-NER-BiLSTMCRF-WordCharEmbedding

Optimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling Tasks

https://github.com/System-T/UniversalPropositions

Improved Semantic Role Labeling using Parameterized Neighborhood Memory Adaptation

https://github.com/TAUSBV/sentence-level-domain-classification

Universal Sentence Encoder

https://github.com/TJUIRLAB/CIKM2018_QMWFLM

A Quantum Many-body Wave Function Inspired Language Modeling Approach

https://github.com/TalSchuster/CrossLingualContextualEmb

Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing

https://github.com/Tanasho0928/chat-oriented

Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models

https://github.com/Tanasho0928/ncm

Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models

https://github.com/TarunVallabhuni/awesome-feature-engineering-master

Named Entity Recognition with Bidirectional LSTM-CNNs

https://github.com/Tixierae/gow_tools

Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization

https://github.com/TobiasLee/Text-Classification

Adversarial Training Methods for Semi-Supervised Text Classification

https://github.com/UC-MACSS/persp-analysis_A18

The Geometry of Culture: Analyzing Meaning through Word Embeddings

https://github.com/Varchita-Beena/Word-Translation-Without-Parallel-Data

Word Translation Without Parallel Data

https://github.com/Wurmloch/TopicModeling

Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec

https://github.com/YCAyca/CLIP_ML_Decoder

CLIP-Decoder : ZeroShot Multilabel Classification using Multimodal CLIP Aligned Representation

https://github.com/YJHMITWEB/GLoMo-tensorflow

GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations

https://github.com/YPCC/medical-data

Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data

https://github.com/YoungXiyuan/DCA

Neural Fine-Grained Entity Type Classification with Hierarchy-Aware Loss

https://github.com/YovaKem/generalized-procrustes-MUSE

Word Translation Without Parallel Data

https://github.com/ZZhangyutong/fasttext

Enriching Word Vectors with Subword Information

https://github.com/ZacharyChenpk/Local_ETHZ

Neural Fine-Grained Entity Type Classification with Hierarchy-Aware Loss

https://github.com/ZahinAkram/Unsupervised-Neural-Machine-Translation-Bangla-To-English-English-to-Bangla-

Word Translation Without Parallel Data

https://github.com/ZhanpengWang96/pytorch-speech2vec

Speech2Vec: A Sequence-to-Sequence Framework for Learning Word Embeddings from Speech

https://github.com/ZubinGou/NER-BiLSTM-CRF-PyTorch

Named Entity Recognition with Bidirectional LSTM-CNNs

https://github.com/aaaasssddf/word-embedding-dimensionality-selection

On the Dimensionality of Word Embedding

https://github.com/abstatic/ire_project18

Automatic Argumentative-Zoning Using Word2vec

https://github.com/accessai/dynamic_word_embeddings

Dynamic Word Embeddings

https://github.com/advaithsrao/TwitterSentimentAnalysis_using_UniversalSentenceEncoder

Universal Sentence Encoder

https://github.com/adventure2165/GAN2vec

Generative Adversarial Networks for text using word2vec intermediaries

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