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Sentence Embeddings

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

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

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

https://github.com/simonsanvil/earlydepression-mentalriskes

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A Framework for Identifying Depression on Social Media: MentalRiskES@IberLEF 2023

https://github.com/sjtu-lit/syncse

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Contrastive Learning of Sentence Embeddings from Scratch

https://github.com/slanglab-nu/autoencoder-oos

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A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasks

https://github.com/sleepthroughdifficulties/kernelwhitening

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Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding

https://github.com/snunlp/KR-BERT

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KR-BERT: A Small-Scale Korean-Specific Language Model

https://github.com/sonalsannigrahi/document_embeddings

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Are the Best Multilingual Document Embeddings simply Based on Sentence Embeddings?

https://github.com/sopilnyak/headline-selection

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Transformers for Headline Selection for Russian News Clusters

https://github.com/staoxiao/retromae

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RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder

https://github.com/strong-ai-lab/logical-equivalence-driven-amr-data-augmentation-for-representation-learning

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Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning

https://github.com/studio-ousia/ease

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EASE: Entity-Aware Contrastive Learning of Sentence Embedding

https://github.com/supstarzh/whitenedcse

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Whitening-based Contrastive Learning of Sentence Embeddings

https://github.com/surabhisnath/creative_process

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Characterising the Creative Process in Humans and Large Language Models

https://github.com/swisscom/ai-research-keyphrase-extraction

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Simple Unsupervised Keyphrase Extraction using Sentence Embeddings

https://github.com/sydney-machine-learning/sentimentanalysis_bhagavadgita

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Semantic and sentiment analysis of selected Bhagavad Gita translations using BERT-based language framework

https://github.com/synapse-developpement/Discovery

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Mining Discourse Markers for Unsupervised Sentence Representation Learning

https://github.com/tannerbohn/AutomaticPullQuoteSelection

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Catching Attention with Automatic Pull Quote Selection

https://github.com/taoshen58/DiSAN

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DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding

https://github.com/taslanidis/geia

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Information Leakage of Sentence Embeddings via Generative Embedding Inversion Attacks

https://github.com/tencentarc/taggpt

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TagGPT: Large Language Models are Zero-shot Multimodal Taggers

https://github.com/themody/debiasing-sentence-embedders-through-contrastive-word-pairs

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Debiasing Sentence Embedders through Contrastive Word Pairs

https://github.com/tianyuzong/jtcse

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JTCSE: Joint Tensor-Modulus Constraints and Cross-Attention for Unsupervised Contrastive Learning of Sentence Embeddings

https://github.com/timoschick/amr-gen

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Transition-Based Generation from Abstract Meaning Representations

https://github.com/timoschick/dino

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Generating Datasets with Pretrained Language Models

https://github.com/transducens/crosslingualneuralfms

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Cross-lingual neural fuzzy matching for exploiting target-language monolingual corpora in computer-aided translation

https://github.com/turkunlp/paraphrase-span-detection

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Semantic Search as Extractive Paraphrase Span Detection

https://github.com/uclanlp/ParaBART

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Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models

https://github.com/uclanlp/paraamr

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ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation

https://github.com/uds-lsv/mcse

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MCSE: Multimodal Contrastive Learning of Sentence Embeddings

https://github.com/uhh-lt/comparative

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Categorizing Comparative Sentences

https://github.com/uic-nlp-lab/calsum

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Abstract Meaning Representation for Hospital Discharge Summarization

https://github.com/ukplab/adasent

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AdaSent: Efficient Domain-Adapted Sentence Embeddings for Few-Shot Classification

https://github.com/ukplab/pytorch-bertflow

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

https://github.com/ulf1/sentence-embedding-evaluation-german

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Rediscovering Hashed Random Projections for Efficient Quantization of Contextualized Sentence Embeddings

https://github.com/unnatural-language/sim2real

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Unnatural Language Processing: Bridging the Gap Between Synthetic and Natural Language Data

https://github.com/use-sum/usesum

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Sentence Embeddings as an intermediate target in end-to-end summarisation

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