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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/neulab/word-embeddings-for-nmt

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When and Why are Pre-trained Word Embeddings Useful for Neural Machine Translation?

https://github.com/neuro-symbolic-ai/multi_relational_hyperbolic_word_embeddings

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Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions

https://github.com/nfriedri/debie-backend

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DebIE: A Platform for Implicit and Explicit Debiasing of Word Embedding Spaces

https://github.com/ng-j-p/rouge-we

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Better Summarization Evaluation with Word Embeddings for ROUGE

https://github.com/ngarneau/vecmap

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A Robust Self-Learning Method for Fully Unsupervised Cross-Lingual Mappings of Word Embeddings: Making the Method Robustly Reproducible as Well

https://github.com/nguyenkh/NeuralDenoising

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Neural-based Noise Filtering from Word Embeddings

https://github.com/nickswalker/gpsr-command-understanding

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Neural Semantic Parsing with Anonymization for Command Understanding in General-Purpose Service Robots

https://github.com/nicolaffETHZ/Brain2Word_paper

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Brain2Word: Decoding Brain Activity for Language Generation

https://github.com/nikhgarg/EmbeddingDynamicStereotypes

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Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes

https://github.com/nikhilbyte/hinglish-qeval

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niksss at HinglishEval: Language-agnostic BERT-based Contextual Embeddings with Catboost for Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish Text

https://github.com/nirat1606/oadis

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Disentangling Visual Embeddings for Attributes and Objects

https://github.com/nirlotan/SocialVec

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SocialVec: Social Entity Embeddings

https://github.com/nku-hlt/diffeditor

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DiffEditor: Enhancing Speech Editing with Semantic Enrichment and Acoustic Consistency

https://github.com/nlpAThits/WOMBAT

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Transparent, Efficient, and Robust Word Embedding Access with WOMBAT

https://github.com/nlpaueb/greek-bert

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GREEK-BERT: The Greeks visiting Sesame Street

https://github.com/nlpsoc/reliability_bias

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Assessing the Reliability of Word Embedding Gender Bias Measures

https://github.com/nlpub/projlearn

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Negative Sampling Improves Hypernymy Extraction Based on Projection Learning

https://github.com/northanapon/dict-definition

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Definition Modeling: Learning to define word embeddings in natural language

https://github.com/ntunlp/multisense_embedding_alignment

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Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings

https://github.com/nusnlp/contextemb-wsd

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Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word Representations

https://github.com/nutcrtnk/dhgnet

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Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph

https://github.com/nvlabs/palavra

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"This is my unicorn, Fluffy": Personalizing frozen vision-language representations

https://github.com/nvlabs/pervlbenchmark

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"This is my unicorn, Fluffy": Personalizing frozen vision-language representations

https://github.com/nyu-dice-lab/circumventing-concept-erasure

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Circumventing Concept Erasure Methods For Text-to-Image Generative Models

https://github.com/oaraque/moral-foundations

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MoralStrength: Exploiting a Moral Lexicon and Embedding Similarity for Moral Foundations Prediction

https://github.com/oasisresearchlab/crossdisciplinary-embeddings

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Words as Bridges: Exploring Computational Support for Cross-Disciplinary Translation Work

https://github.com/oavraham1/prop2vec

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The Interplay of Semantics and Morphology in Word Embeddings

https://github.com/ofirpress/attention_with_linear_biases

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Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation

https://github.com/ofirpress/shortformer

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Shortformer: Better Language Modeling using Shorter Inputs

https://github.com/olivettigroup/materials-synthesis-generative-models

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Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks

https://github.com/ondraganov/shape-of-word-embeddings

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The Shape of Word Embeddings: Quantifying Non-Isometry With Topological Data Analysis

https://github.com/opinionchange2021/opinion_are_made_to_be_changed

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Opinions are Made to be Changed: Temporally Adaptive Stance Classification

https://github.com/oxinabox/ColoringNames.jl

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Learning of Colors from Color Names: Distribution and Point Estimation

https://github.com/panaali/word2ket

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word2ket: Space-efficient Word Embeddings inspired by Quantum Entanglement

https://github.com/park-jungin/vlap

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Bridging Vision and Language Spaces with Assignment Prediction

https://github.com/patverga/torch-relation-extraction

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Multilingual Relation Extraction using Compositional Universal Schema

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