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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/janmbuys/DeepDeepParser

공식 코드

Robust Incremental Neural Semantic Graph Parsing

https://github.com/jasl1/robustsentembed

공식 코드

RobustSentEmbed: Robust Sentence Embeddings Using Adversarial Self-Supervised Contrastive Learning

https://github.com/jcyk/AMR-parser

공식 코드

Core Semantic First: A Top-down Approach for AMR Parsing

https://github.com/jcyk/gtos

공식 코드

Graph Transformer for Graph-to-Sequence Learning

https://github.com/jcyk/mse-amr

공식 코드

Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation

https://github.com/jeongwoopark0514/morality-is-non-binary

공식 코드

Morality is Non-Binary: Building a Pluralist Moral Sentence Embedding Space using Contrastive Learning

https://github.com/jeremy-costello/rl-for-topic-models

공식 코드

Reinforcement Learning for Topic Models

https://github.com/jgroschwitz/grapes

공식 코드

AMR Parsing is Far from Solved: GrAPES, the Granular AMR Parsing Evaluation Suite

https://github.com/jiahao004/distillcse

공식 코드

DistillCSE: Distilled Contrastive Learning for Sentence Embeddings

https://github.com/jjy961228/ConCSE

공식 코드

ConCSE: Unified Contrastive Learning and Augmentation for Code-Switched Embeddings

https://github.com/johntailor/bertsenclu

공식 코드

Efficient and Flexible Topic Modeling using Pretrained Embeddings and Bag of Sentences

https://github.com/joshprk/agentrec

공식 코드

AgentRec: Agent Recommendation Using Sentence Embeddings Aligned to Human Feedback

https://github.com/justus-jonas/imaginarynlp

공식 코드

Imagination is All You Need! Curved Contrastive Learning for Abstract Sequence Modeling Utilized on Long Short-Term Dialogue Planning

https://github.com/jyhuang36/intersent

공식 코드

Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations

https://github.com/kamigaito/SLAHAN

공식 코드

Syntactically Look-Ahead Attention Network for Sentence Compression

https://github.com/kathrinblagec/neural-sentence-embedding-models-for-biomedical-applications

공식 코드

Neural sentence embedding models for semantic similarity estimation in the biomedical domain

https://github.com/kevinkrahn/ancient-greek-datasets

공식 코드

Sentence Embedding Models for Ancient Greek Using Multilingual Knowledge Distillation

https://github.com/kongds/prompt-bert

공식 코드

PromptBERT: Improving BERT Sentence Embeddings with Prompts

https://github.com/kongds/scaling_sentemb

공식 코드

Scaling Sentence Embeddings with Large Language Models

https://github.com/kornwtp/mixsp

공식 코드

Space Decomposition for Sentence Embedding

https://github.com/kuntalkumarpal/FlowGraph

공식 코드

Constructing Flow Graphs from Procedural Cybersecurity Texts

https://github.com/kwang2049/pytorch-bertflow

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

https://github.com/kwang2049/useb

공식 코드

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

https://github.com/l3cube-pune/MarathiNLP

공식 코드

L3Cube-MahaSBERT and HindSBERT: Sentence BERT Models and Benchmarking BERT Sentence Representations for Hindi and Marathi

https://github.com/lamsoma/auto_nli

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Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot Examples

https://github.com/lancopku/avg-avg

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Holistic Sentence Embeddings for Better Out-of-Distribution Detection

https://github.com/lemonsis/ctrlstruct

공식 코드

CTRLStruct: Dialogue Structure Learning for Open-Domain Response Generation

https://github.com/lexrosetta/caselaw_functional_segmentation_multilingual

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Lex Rosetta: Transfer of Predictive Models Across Languages, Jurisdictions, and Legal Domains

https://github.com/lhf-labs/finance-news-analysis-bert

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FinEAS: Financial Embedding Analysis of Sentiment

https://github.com/lingjzhu/spoken_sent_embedding

공식 코드

Bootstrapping meaning through listening: Unsupervised learning of spoken sentence embeddings

https://github.com/lisaaa1017/fanchuan

공식 코드

FanChuan: A Multilingual and Graph-Structured Benchmark For Parody Detection and Analysis

https://github.com/loginaway/storyanalogy

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StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding

https://github.com/ltgoslo/definition_modeling

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Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change Analysis

https://github.com/lukecq1231/generalized-pooling

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Enhancing Sentence Embedding with Generalized Pooling

https://github.com/lydianish/rolaser

공식 코드

Making Sentence Embeddings Robust to User-Generated Content

https://github.com/macleginn/semantic-subspaces-code

공식 코드

Investigating semantic subspaces of Transformer sentence embeddings through linear structural probing

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