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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/Sachin19/seq2seq-con

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Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs

https://github.com/Sandipan99/POLAR

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The POLAR Framework: Polar Opposites Enable Interpretability of Pre-Trained Word Embeddings

https://github.com/SarahAlqurashi/COVID19-Misinformation-dataset-

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Eating Garlic Prevents COVID-19 Infection: Detecting Misinformation on the Arabic Content of Twitter

https://github.com/Shaul1321/nullspace_projection

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Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection

https://github.com/SimengSun/revisit-nplm

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Revisiting Simple Neural Probabilistic Language Models

https://github.com/SouravDutta91/map-low-resource-embeddings

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Mapping Supervised Bilingual Word Embeddings from English to low-resource languages

https://github.com/SunbowLiu/SurfaceFusion

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Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning

https://github.com/Svobikl/cr-analogy

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Evaluation of Croatian Word Embeddings

https://github.com/Svobikl/cz_corpus

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New word analogy corpus for exploring embeddings of Czech words

https://github.com/TManzini/DebiasMulticlassWordEmbedding

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Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings

https://github.com/TadejSkvorc/MICE

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MICE: Mining Idioms with Contextual Embeddings

https://github.com/TalSchuster/CrossLingualELMo

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

https://github.com/TimeTraveller-San/RAN-Debias

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Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word Embeddings

https://github.com/Tixierae/WECD

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Word Embeddings for the Construction Domain

https://github.com/Tom556/OrthogonalTransformerProbing

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Introducing Orthogonal Constraint in Structural Probes

https://github.com/UBC-NLP/dialex

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DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word Embeddings

https://github.com/UKPLab/acl2019-BERT-argument-classification-and-clustering

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Classification and Clustering of Arguments with Contextualized Word Embeddings

https://github.com/UKPLab/arxiv2018-xling-sentence-embeddings

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Concatenated Power Mean Word Embeddings as Universal Cross-Lingual Sentence Representations

https://github.com/UKPLab/coling2018-xling_argument_mining

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Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need!

https://github.com/UKPLab/elmo-bilstm-cnn-crf

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Alternative Weighting Schemes for ELMo Embeddings

https://github.com/UKPLab/emnlp2017-bilstm-cnn-crf

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Optimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling Tasks

https://github.com/UKPLab/linspector

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LINSPECTOR: Multilingual Probing Tasks for Word Representations

https://github.com/UKPLab/linspector-web

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LINSPECTOR WEB: A Multilingual Probing Suite for Word Representations

https://github.com/UKPLab/tacl2018-preference-convincing

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Finding Convincing Arguments Using Scalable Bayesian Preference Learning

https://github.com/W4ngatang/sent-bias

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On Measuring Social Biases in Sentence Encoders

https://github.com/WangXFng/ELMRec

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Enhancing High-order Interaction Awareness in LLM-based Recommender Model

https://github.com/WangYuxuan93/CLBT

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Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing

https://github.com/WanzhengZhu/Euphemism

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Self-Supervised Euphemism Detection and Identification for Content Moderation

https://github.com/WeiDongjunGabriel/AutoSUM

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AutoSUM: Automating Feature Extraction and Multi-user Preference Simulation for Entity Summarization

https://github.com/Westhealth/scipy2020

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Quasi-orthonormal Encoding for Machine Learning Applications

https://github.com/X-AISIG/LenAtten

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LenAtten: An Effective Length Controlling Unit For Text Summarization

https://github.com/XiangLi1999/syntactic-VIB

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Specializing Word Embeddings (for Parsing) by Information Bottleneck

https://github.com/Xujxyang/Fairness-NC-main

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Collapsed Language Models Promote Fairness

https://github.com/YatinChaudhary/Multi-view-Multi-source-Topic-Modeling

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Multi-source Neural Topic Modeling in Multi-view Embedding Spaces

https://github.com/YerevaNN/warp

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WARP: Word-level Adversarial ReProgramming

https://github.com/YinpeiDai/NAUM

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Deep learning for language understanding of mental health concepts derived from Cognitive Behavioural Therapy

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