https://github.com/cadobe/bison
공식 코드GLOW : Global Weighted Self-Attention Network for Web Search
Papers with Code 아카이브
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/cambridgeltl/BLICEr
공식 코드Improving Bilingual Lexicon Induction with Cross-Encoder Reranking
https://github.com/cambridgeltl/contrastivebli
공식 코드Improving Word Translation via Two-Stage Contrastive Learning
https://github.com/cambridgeltl/mirrorwic
공식 코드MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models
https://github.com/candacelax/bias-in-vision-and-language
공식 코드Measuring Social Biases in Grounded Vision and Language Embeddings
https://github.com/carolinmschuster/profiling-bias-in-llms
공식 코드Profiling Bias in LLMs: Stereotype Dimensions in Contextual Word Embeddings
https://github.com/casperhansen/CPTW
공식 코드Contextually Propagated Term Weights for Document Representation
https://github.com/ccsasuke/umwe
공식 코드https://github.com/cedricdeboom/RepresentationLearning
공식 코드Representation learning for very short texts using weighted word embedding aggregation
https://github.com/cemoody/lda2vec
공식 코드Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec
https://github.com/chenych11/lm
공식 코드Compressing Neural Language Models by Sparse Word Representations
https://github.com/chevalierNoir/A2W-Segmental
공식 코드Whole-Word Segmental Speech Recognition with Acoustic Word Embeddings
https://github.com/chqiwang/convseg
공식 코드Convolutional Neural Network with Word Embeddings for Chinese Word Segmentation
https://github.com/christospi/glc-nllp-21
공식 코드Multi-granular Legal Topic Classification on Greek Legislation
https://github.com/cisnlp/ofa
공식 코드https://github.com/cja5553/LLMs_in_perioperative_care
공식 코드https://github.com/cjmay/athena
공식 코드https://github.com/cl-tohoku/zipfian-whitening
공식 코드https://github.com/clarinsi/megahr-crossling
공식 코드Predicting Concreteness and Imageability of Words Within and Across Languages via Word Embeddings
https://github.com/clay-lab/structural-alternations
공식 코드https://github.com/clin1223/vldet
공식 코드Learning Object-Language Alignments for Open-Vocabulary Object Detection
https://github.com/clips/cat
공식 코드https://github.com/clips/dutchembeddings
공식 코드Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource
https://github.com/coastalcph/MUSE_dicos
공식 코드Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction
https://github.com/cod3licious/conec
공식 코드Context encoders as a simple but powerful extension of word2vec
https://github.com/codogogo/xling-eval
공식 코드https://github.com/collection-space-navigator/csn
공식 코드Collection Space Navigator: An Interactive Visualization Interface for Multidimensional Datasets
https://github.com/commonsense/conceptnet-numberbatch
공식 코드ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
https://github.com/comp-syn/comp-syn
공식 코드https://github.com/cooelf/SemBERT
공식 코드https://github.com/copenlu/intersectional-bias-pbw
공식 코드https://github.com/coveooss/ecommerce-query-embeddings
공식 코드https://github.com/cpjku/wechsel
공식 코드https://github.com/cpystan/wsi-vqa
공식 코드WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question Answering
https://github.com/cthem/hate-speech-detection
공식 코드https://github.com/cuhksz-nlp/SANER
공식 코드Named Entity Recognition for Social Media Texts with Semantic Augmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.