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Word Similarity

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전체 기법 전체 데이터셋

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평가표: 1
보존된 평가 기록: 3

Calculate a numerical score for the semantic similarity between two words.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://bitbucket.org/luisespinosa/seven

공식 코드

SeVeN: Augmenting Word Embeddings with Unsupervised Relation Vectors

https://bitbucket.org/shihaoji/wordrank

공식 코드

WordRank: Learning Word Embeddings via Robust Ranking

https://github.com/ChengyueGongR/FrequencyAgnostic

공식 코드

FRAGE: Frequency-Agnostic Word Representation

https://github.com/DannyMerkx/speech2image

공식 코드

Seeing the advantage: visually grounding word embeddings to better capture human semantic knowledge

https://github.com/EvLab-MIT/LexiContrastiveGrd

공식 코드

Visual Grounding Helps Learn Word Meanings in Low-Data Regimes

https://github.com/HHansi/Semeval-2020-Task3

공식 코드

BRUMS at SemEval-2020 Task 3: Contextualised Embeddings for Predicting the (Graded) Effect of Context in Word Similarity

https://github.com/HKUST-KnowComp/MWE

공식 코드

Multiplex Word Embeddings for Selectional Preference Acquisition

https://github.com/HSLCY/VCWE

공식 코드

VCWE: Visual Character-Enhanced Word Embeddings

https://github.com/HwiyeolJo/Extrofitting

공식 코드

Extrofitting: Enriching Word Representation and its Vector Space with Semantic Lexicons

https://github.com/Lei-Ding07/Word_Debias_DeSIP

공식 코드

Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving

https://github.com/LuminosoInsight/conceptnet-vector-ensemble

공식 코드

An Ensemble Method to Produce High-Quality Word Embeddings (2016)

https://github.com/MIR-MU/regularized-embeddings

공식 코드

Text classification with word embedding regularization and soft similarity measure

https://github.com/MiuLab/BCWS

공식 코드

BCWS: Bilingual Contextual Word Similarity

https://github.com/MiuLab/CLUSE

공식 코드

CLUSE: Cross-Lingual Unsupervised Sense Embeddings

https://github.com/aggiejiang/sexwes

공식 코드

SexWEs: Domain-Aware Word Embeddings via Cross-lingual Semantic Specialisation for Chinese Sexism Detection in Social Media

https://github.com/ainagari/semeval2020-task3-multisem

공식 코드

MULTISEM at SemEval-2020 Task 3: Fine-tuning BERT for Lexical Meaning

https://github.com/akkikiki/modularity_metric

공식 코드

A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity

https://github.com/alexandres/lexvec

공식 코드

Matrix Factorization using Window Sampling and Negative Sampling for Improved Word Representations

https://github.com/alisonsneyd/Gender_bias_word_embeddings

공식 코드

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

https://github.com/anoopkunchukuttan/geomm

공식 코드

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

https://github.com/barahona-research-group/LGDE

공식 코드

LGDE: Local Graph-based Dictionary Expansion

https://github.com/benathi/multisense-prob-fasttext

공식 코드

Probabilistic FastText for Multi-Sense Word Embeddings

https://github.com/benathi/word2gm

공식 코드

Multimodal Word Distributions

https://github.com/binbinjiang/context2vector

공식 코드

Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings

https://github.com/bionlproc/BERT-CRel-Embeddings

공식 코드

Improved Biomedical Word Embeddings in the Transformer Era

https://github.com/cambridgeltl/BLICEr

공식 코드

Improving Bilingual Lexicon Induction with Cross-Encoder Reranking

https://github.com/cambridgeltl/adversarial-postspec

공식 코드

Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization

https://github.com/cambridgeltl/post-specialisation

공식 코드

Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources

https://github.com/cambridgeltl/sw_study

공식 코드

A Systematic Study of Leveraging Subword Information for Learning Word Representations

https://github.com/ccsasuke/umwe

공식 코드

Unsupervised Multilingual Word Embeddings

https://github.com/danielhers/interchangeability

공식 코드

Syntactic Interchangeability in Word Embedding Models

https://github.com/dingwc/multisense

공식 코드

A Simple Approach to Learn Polysemous Word Embeddings

https://github.com/enscma2/categorical-modularity

공식 코드

Evaluating Word Embeddings with Categorical Modularity

https://github.com/eumesy/wrd

공식 코드

Word Rotator's Distance

https://github.com/facebookresearch/fastText

공식 코드

Enriching Word Vectors with Subword Information

https://github.com/gwohlgen/thai_word_similarity

공식 코드

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