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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/pluslabnlp/ampere

공식 코드

AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model

https://github.com/pluslabnlp/deam

공식 코드

DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations

https://github.com/pootiet/augcse

공식 코드

AugCSE: Contrastive Sentence Embedding with Diverse Augmentations

https://github.com/potamides/unsupervised-metrics

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USCORE: An Effective Approach to Fully Unsupervised Evaluation Metrics for Machine Translation

https://github.com/pournaki/soteu-narratives

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A graph-based approach to extracting narrative signals from public discourse

https://github.com/ppfliu/open-intent-discovery

공식 코드

Open Intent Discovery through Unsupervised Semantic Clustering and Dependency Parsing

https://github.com/pratogab/rae

공식 코드

Towards Lossless Encoding of Sentences

https://github.com/primerai/primer-research

공식 코드

Neural Embeddings for Text

https://github.com/princeton-nlp/SimCSE

공식 코드

SimCSE: Simple Contrastive Learning of Sentence Embeddings

https://github.com/psoulos/role-decomposition

공식 코드

Discovering the Compositional Structure of Vector Representations with Role Learning Networks

https://github.com/puerrrr/focal-infonce

공식 코드

Improving Contrastive Learning of Sentence Embeddings with Focal-InfoNCE

https://github.com/punyajoy/Hateminers-EVALITA

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Hateminers : Detecting Hate speech against Women

https://github.com/qiyuw/peercl

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PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings

https://github.com/rafaelanchieta/sema

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SEMA: an Extended Semantic Evaluation Metric for AMR

https://github.com/raghavlite/GenEOL

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GenEOL: Harnessing the Generative Power of LLMs for Training-Free Sentence Embeddings

https://github.com/rainavyas/naacl-2022-residue-detector

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Residue-Based Natural Language Adversarial Attack Detection

https://github.com/ryuliuxiaodong/DefSent-Plus

공식 코드

DefSent+: Improving sentence embeddings of language models by projecting definition sentences into a quasi-isotropic or isotropic vector space of unlimited dictionary entries

https://github.com/salesforce/compedit

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Improving Factual Consistency in Summarization with Compression-Based Post-Editing

https://github.com/sap-samples/acl2023-micse

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miCSE: Mutual Information Contrastive Learning for Low-shot Sentence Embeddings

https://github.com/sapienzanlp/leakdistill

공식 코드

Incorporating Graph Information in Transformer-based AMR Parsing

https://github.com/satzbeleg/keras-hrp

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Rediscovering Hashed Random Projections for Efficient Quantization of Contextualized Sentence Embeddings

https://github.com/satzbeleg/study-hrp

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Rediscovering Hashed Random Projections for Efficient Quantization of Contextualized Sentence Embeddings

https://github.com/schen149/sub-sentence-encoder

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Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations

https://github.com/sdadas/polish-sentence-evaluation

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Evaluation of Sentence Representations in Polish

https://github.com/sebischair/fusionsent

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Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many Classes

https://github.com/sense-gvt/sncse

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SNCSE: Contrastive Learning for Unsupervised Sentence Embedding with Soft Negative Samples

https://github.com/sent-subsent-embs/clustering-network-analysis

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Clustering and Network Analysis for the Embedding Spaces of Sentences and Sub-Sentences

https://github.com/seongminp/graph-dialogue-summary

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Unsupervised Abstractive Dialogue Summarization with Word Graphs and POV Conversion

https://github.com/seongminp/hyperseg

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Unsupervised Extractive Dialogue Summarization in Hyperdimensional Space

https://github.com/seznam/czech-semantic-embedding-models

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Some Like It Small: Czech Semantic Embedding Models for Industry Applications

https://github.com/sh0416/clrcmd

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Toward Interpretable Semantic Textual Similarity via Optimal Transport-based Contrastive Sentence Learning

https://github.com/sheffieldnlp/AMR2Text-summ

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Guided Neural Language Generation for Abstractive Summarization using Abstract Meaning Representation

https://github.com/shijx12/AR-Tree

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Learning to Embed Sentences Using Attentive Recursive Trees

https://github.com/shirawein/amr-translationese

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Lost in Translationese? Reducing Translation Effect Using Abstract Meaning Representation

https://github.com/shlurbee/dmrs-text-generation-naacl2019

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Neural Text Generation from Rich Semantic Representations

https://github.com/shuohangwang/SeqMatchSeq

공식 코드

Learning Natural Language Inference with LSTM

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