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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/hazel1994/visually_grounded_word_embeddings_2

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Language with Vision: a Study on Grounded Word and Sentence Embeddings

https://github.com/hhansi/twitter-event-data-2019

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Embed2Detect: Temporally Clustered Embedded Words for Event Detection in Social Media

https://github.com/hillary-dawkins/genderswappedstereoset

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Projective Methods for Mitigating Gender Bias in Pre-trained Language Models

https://github.com/huggingface/pytorch-transformers

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Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models

https://github.com/huthlab/rep_structure

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Low-Dimensional Structure in the Space of Language Representations is Reflected in Brain Responses

https://github.com/hyintell/topicx

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Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics

https://github.com/i-samenko/Triplet-net

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Intuitive Contrasting Map for Antonym Embeddings

https://github.com/ialab-puc/BioNLP-StressTest

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Stress Test Evaluation of Biomedical Word Embeddings

https://github.com/iclr-complex-order/complex-order

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Encoding word order in complex embeddings

https://github.com/idiap/analogy_learning

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Can language models learn analogical reasoning? Investigating training objectives and comparisons to human performance

https://github.com/idiap/joint-embedding-nmt

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Beyond Weight Tying: Learning Joint Input-Output Embeddings for Neural Machine Translation

https://github.com/ijauregiCMCRC/healthNER

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Recurrent neural networks with specialized word embeddings for health-domain named-entity recognition

https://github.com/ikergarcia1996/MVM-Embeddings

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A Common Semantic Space for Monolingual and Cross-Lingual Meta-Embeddings

https://github.com/imonban/RadiologyReportEmbedding

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Intelligent Word Embeddings of Free-Text Radiology Reports

https://github.com/informagi/GEEER

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Graph-Embedding Empowered Entity Retrieval

https://github.com/ishutov/nlp2018_hp_asoif_rus

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Russian Language Datasets in the Digitial Humanities Domain and Their Evaluation with Word Embeddings

https://github.com/ispras-texterra/pioner

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pioNER: Datasets and Baselines for Armenian Named Entity Recognition

https://github.com/ispras-texterra/word-embeddings-eval-hy

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Word Embeddings for the Armenian Language: Intrinsic and Extrinsic Evaluation

https://github.com/ivri/DiffVec

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Take and Took, Gaggle and Goose, Book and Read: Evaluating the Utility of Vector Differences for Lexical Relation Learning

https://github.com/jacoxu/STC2

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Self-Taught Convolutional Neural Networks for Short Text Clustering

https://github.com/jacsonrbinf/bulner

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BULNER: BUg Localization with word embeddings and NEtwork Regularization

https://github.com/jam963/semantics-or-spelling

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Semantics or spelling? Probing contextual word embeddings with orthographic noise

https://github.com/janenglerrwth/sensepolar

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SensePOLAR: Word sense aware interpretability for pre-trained contextual word embeddings

https://github.com/jbarnesspain/blse

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Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages

https://github.com/jerryspan/FacebookR

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Social Emotion Mining Techniques for Facebook Posts Reaction Prediction

https://github.com/jhlau/doc2vec

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An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation

https://github.com/jhzab/dist_w2v

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Asynchronous Training of Word Embeddings for Large Text Corpora

https://github.com/jiangyctarheel/sq-transformer

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Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings

https://github.com/jiesutd/RichWordSegmentor

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Neural Word Segmentation with Rich Pretraining

https://github.com/jiesutd/SubwordEncoding-CWS

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Subword Encoding in Lattice LSTM for Chinese Word Segmentation

https://github.com/jivnesh/sanskritshala

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SanskritShala: A Neural Sanskrit NLP Toolkit with Web-Based Interface for Pedagogical and Annotation Purposes

https://github.com/jlfj345wf/rapo

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RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction

https://github.com/jmerullo/lm_vector_arithmetic

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Language Models Implement Simple Word2Vec-style Vector Arithmetic

https://github.com/jmzhao/bag-of-substring-embedder

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Generalizing Word Embeddings using Bag of Subwords

https://github.com/jmzhao/pbos

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PBoS: Probabilistic Bag-of-Subwords for Generalizing Word Embedding

https://github.com/joelescudefont/genbiasmt

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Equalizing Gender Biases in Neural Machine Translation with Word Embeddings Techniques

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