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Semantic Textual Similarity

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하위 태스크: 2
평가표: 13
보존된 평가 기록: 280

Semantic textual similarity deals with determining how similar two pieces of texts are. This can take the form of assigning a score from 1 to 5. Related tasks are paraphrase or duplicate identification.

Image source: Learning Semantic Textual Similarity from Conversations

코드

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

https://github.com/dayeonki/oracle

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Mitigating Semantic Leakage in Cross-lingual Embeddings via Orthogonality Constraint

https://github.com/ddangelov/Top2Vec

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Top2Vec: Distributed Representations of Topics

https://github.com/deepsoftwareanalytics/race

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RACE: Retrieval-Augmented Commit Message Generation

https://github.com/dell-research-harvard/linktransformer

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LinkTransformer: A Unified Package for Record Linkage with Transformer Language Models

https://github.com/dennisrv/iail2022

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Using Sentence Embeddings and Semantic Similarity for Seeking Consensus when Assessing Trustworthy AI

https://github.com/diego-feijo/bertpt

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Mono vs Multilingual Transformer-based Models: a Comparison across Several Language Tasks

https://github.com/dinghanshen/SWEM

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Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms

https://github.com/dipamgoswami/fscil-calibration

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Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers

https://github.com/dipta007/semeval24-task8

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UMBCLU at SemEval-2024 Task 1A and 1C: Semantic Textual Relatedness with and without machine translation

https://github.com/divettemarco/pragsim

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A Collection of Pragmatic-Similarity Judgments over Spoken Dialog Utterances

https://github.com/djz233/clusterns

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Clustering-Aware Negative Sampling for Unsupervised Sentence Representation

https://github.com/dll-wu/is-cse

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Instance Smoothed Contrastive Learning for Unsupervised Sentence Embedding

https://github.com/doribear/A-Novel-Patent-Similarity-Measurement-Methodology

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A Novel Patent Similarity Measurement Methodology: Semantic Distance and Technological Distance

https://github.com/drbenchmark/drbenchmark

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DrBenchmark: A Large Language Understanding Evaluation Benchmark for French Biomedical Domain

https://github.com/dsfsi/embedding-eval-data

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Training Cross-Lingual embeddings for Setswana and Sepedi

https://github.com/dukesun99/ACL-PRISM

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PRISM: A Framework for Producing Interpretable Political Bias Embeddings with Political-Aware Cross-Encoder

https://github.com/duyngtr16061999/kdmcse

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KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive Learning

https://github.com/dvlab-research/rival

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Real-World Image Variation by Aligning Diffusion Inversion Chain

https://github.com/e-qin/gear

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Explicitly Integrating Judgment Prediction with Legal Document Retrieval: A Law-Guided Generative Approach

https://github.com/echopluto/fhda

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Few-shot Hybrid Domain Adaptation of Image Generators

https://github.com/elakhatibi/cdf-rag

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CDF-RAG: Causal Dynamic Feedback for Adaptive Retrieval-Augmented Generation

https://github.com/eleutherai/sae-auto-interp

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Automatically Interpreting Millions of Features in Large Language Models

https://github.com/embeddings-benchmark/mteb

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MTEB: Massive Text Embedding Benchmark

https://github.com/ernlavr/multihal

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MultiHal: Multilingual Dataset for Knowledge-Graph Grounded Evaluation of LLM Hallucinations

https://github.com/erxinyu/disbert

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Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables

https://github.com/eternityyw/llm_healthcare

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Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language Understanding

https://github.com/eumesy/wrd

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Word Rotator's Distance

https://github.com/facebookresearch/InferSent

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Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

https://github.com/facebookresearch/SentEval

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Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

https://github.com/facebookresearch/SpanBERT

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SpanBERT: Improving Pre-training by Representing and Predicting Spans

https://github.com/facebookresearch/sieve

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Sieve: Multimodal Dataset Pruning Using Image Captioning Models

https://github.com/faceless0124/mghstn

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Urban Traffic Accident Risk Prediction Revisited: Regionality, Proximity, Similarity and Sparsity

https://github.com/fajri91/ffci

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FFCI: A Framework for Interpretable Automatic Evaluation of Summarization

https://github.com/fduxuan/sdm-attack

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Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision Making

https://github.com/flipz357/smatchpp

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SMATCH++: Standardized and Extended Evaluation of Semantic Graphs

https://github.com/forrestbao/suenes

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SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling

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