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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/alexrenz/NuPS

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NuPS: A Parameter Server for Machine Learning with Non-Uniform Parameter Access

https://github.com/alirezamshi/AME-CMR

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Aligning Multilingual Word Embeddings for Cross-Modal Retrieval Task

https://github.com/alisonsneyd/Gender_bias_word_embeddings

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Robustness and Reliability of Gender Bias Assessment in Word Embeddings: The Role of Base Pairs

https://github.com/allenschmaltz/exa

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Detecting Local Insights from Global Labels: Supervised & Zero-Shot Sequence Labeling via a Convolutional Decomposition

https://github.com/altsoph/modality_shifts

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Leverage Points in Modality Shifts: Comparing Language-only and Multimodal Word Representations

https://github.com/amitkumarj441/cikm2023_subspaceembedding

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Lightweight Adaptation of Neural Language Models via Subspace Embedding

https://github.com/amore-upf/LSTM_ambiguity

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Putting words in context: LSTM language models and lexical ambiguity

https://github.com/amsuhane/Debiasing-Multilingual-Word-Embeddings-A-Case-Study-of-Three-Indian-Languages

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Debiasing Multilingual Word Embeddings: A Case Study of Three Indian Languages

https://github.com/ancatache/LaRoSeDa

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Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa -- A Large Romanian Sentiment Data Set

https://github.com/andreas-softwareengineer-pro/dimsum-semeval2016

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From Incremental Meaning to Semantic Unit (phrase by phrase)

https://github.com/aniloid2/semrode-macroadversarialtraining

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SemRoDe: Macro Adversarial Training to Learn Representations That are Robust to Word-Level Attacks

https://github.com/anomalyllm/anomalyllm

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AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Models

https://github.com/anoopkunchukuttan/geomm

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Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach

https://github.com/anshulwadhawan/emotion_detection

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Towards Emotion Recognition in Hindi-English Code-Mixed Data: A Transformer Based Approach

https://github.com/antonisa/embeddings

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Should All Cross-Lingual Embeddings Speak English?

https://github.com/arimuti/pejorativity

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PejorativITy: Disambiguating Pejorative Epithets to Improve Misogyny Detection in Italian Tweets

https://github.com/ark-130994/gw-solvers

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Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem

https://github.com/arsena-k/Word2Vec-bias-extraction

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Machine learning as a model for cultural learning: Teaching an algorithm what it means to be fat

https://github.com/artetxem/monoses

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Bilingual Lexicon Induction through Unsupervised Machine Translation

https://github.com/artetxem/uncovec

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Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation

https://github.com/artetxem/vecmap

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A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings

https://github.com/arthurcamara/bert-axioms

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Diagnosing BERT with Retrieval Heuristics

https://github.com/arumaekawa/dilm

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DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation

https://github.com/asappresearch/flop

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Structured Pruning of Large Language Models

https://github.com/ashischanda/sentiment-analysis

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Efficacy of BERT embeddings on predicting disaster from Twitter data

https://github.com/asiddhant/taskonomy-nlp

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Supervised Contextual Embeddings for Transfer Learning in Natural Language Processing Tasks

https://github.com/asif6827/gari

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GARI: Graph Attention for Relative Isomorphism of Arabic Word Embeddings

https://github.com/astra-vision/prolip

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Fine-Tuning CLIP's Last Visual Projector: A Few-Shot Cornucopia

https://github.com/auriml/capstone

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Learning Eligibility in Cancer Clinical Trials using Deep Neural Networks

https://github.com/autumntoney/ValNorm

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ValNorm Quantifies Semantics to Reveal Consistent Valence Biases Across Languages and Over Centuries

https://github.com/avaapm/SEMCATdataset2018

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Semantic Structure and Interpretability of Word Embeddings

https://github.com/azminewasi/banglaautokg

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BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph Filtering

https://github.com/azubiaga/tfcr

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TF-CR: Weighting Embeddings for Text Classification

https://github.com/bachtranxuan/GCTM

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A Graph Convolutional Topic Model for Short and Noisy Text Streams

https://github.com/bahareharandizade/keyetm

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Keyword Assisted Embedded Topic Model

https://github.com/baiyangwang/emgan

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Generative Adversarial Nets for Multiple Text Corpora

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