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Sentence Embeddings

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코드

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

https://github.com/ZmeiGorynych/transformer_pytorch

A Structured Self-attentive Sentence Embedding

https://github.com/aaronmueller/contextualized-topic-models

Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence

https://github.com/abhilash1910/ClusterTransformer

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

https://github.com/ablx/comparative-arguments-thesis

Categorizing Comparative Sentences

https://github.com/acl-org/reviewer-paper-matching

Simple and Effective Paraphrastic Similarity from Parallel Translations

https://github.com/advaithsrao/TwitterSentimentAnalysis_using_UniversalSentenceEncoder

Universal Sentence Encoder

https://github.com/allenai/bilm-tf

Evaluation of sentence embeddings in downstream and linguistic probing tasks

https://github.com/altsoph/paranoid_transformer

Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books

https://github.com/aneesha/SiameseBERT-Notebook

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

https://github.com/anirudharc/transformer

A Structured Self-attentive Sentence Embedding

https://github.com/asgaardlab/test-case-similarity-technique

Universal Sentence Encoder

https://github.com/asprout/CPSC490

Mapping Between fMRI Responses to Movies and their Natural Language Annotations

https://github.com/asreview/asreview-multilingual-feature-extractor

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

https://github.com/autumn0409/Log-based-Anomaly-Detection-System

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

https://github.com/avidale/encodechka

Sentence Embeddings for Russian NLU

https://github.com/awesomericky/Speech2Pickup

Audio-Linguistic Embeddings for Spoken Sentences

https://github.com/bearblog/CoreRank

Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization

https://github.com/bhuvanakundumani/SimCSE_unsupervised

SimCSE: Simple Contrastive Learning of Sentence Embeddings

https://github.com/bm-k/kosentencebert-skt

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

https://github.com/bm-k/kosimcse-skt

SimCSE: Simple Contrastive Learning of Sentence Embeddings

https://github.com/bojone/labse

Language-agnostic BERT Sentence Embedding

https://github.com/brightjade/CS492E-CiteRec

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

https://github.com/celento/sent2vec

Unsupervised Learning of Sentence Embeddings using Compositional n-Gram Features

https://github.com/celsolbm/Attention_Text

A Structured Self-attentive Sentence Embedding

https://github.com/celsolbm/imdb_sentiment_experiments

A Structured Self-attentive Sentence Embedding

https://github.com/ceshine/textrank_summary_benchmark

Universal Sentence Encoder

https://github.com/chalothon/Sentence2Vec

Unsupervised Learning of Sentence Embeddings using Compositional n-Gram Features

https://github.com/cheng18/bilm-tf

Evaluation of sentence embeddings in downstream and linguistic probing tasks

https://github.com/chodi150/scanrefer-pointgroup

ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language

https://github.com/climsocana/tecb-de

TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning

https://github.com/cluebenchmark/simclue

SimCSE: Simple Contrastive Learning of Sentence Embeddings

https://github.com/contemn1/sentence_embeddings

Universal Sentence Encoder

https://github.com/context-mover/context-mover-distance-and-barycenters

Context Mover's Distance & Barycenters: Optimal Transport of Contexts for Building Representations

https://github.com/croitorualin/reverse-stable-diffusion

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

https://github.com/d2klab/tomodapi

Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence

https://github.com/daniter-cu/DiscoEval

Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.