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Semantic Similarity

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하위 태스크: 2
평가표: 28
보존된 평가 기록: 21

The main objective Semantic Similarity is to measure the distance between the semantic meanings of a pair of words, phrases, sentences, or documents. For example, the word “car” is more similar to “bus” than it is to “cat”. The two main approaches to measuring Semantic Similarity are knowledge-based approaches and corpus-based, distributional methods.

Source: Visual and Semantic Knowledge Transfer for Large Scale Semi-supervised Object Detection

코드

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

https://github.com/halvani/constituent-treelib

공식 코드

Weakly-supervised Audio Separation via Bi-modal Semantic Similarity

https://github.com/hbrouwer/dfs-tools

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Distributional Formal Semantics

https://github.com/heavenhellchen/recse

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reCSE: Portable Reshaping Features for Sentence Embedding in Self-supervised Contrastive Learning

https://github.com/heidelberg-nlp/cckg

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Similarity-weighted Construction of Contextualized Commonsense Knowledge Graphs for Knowledge-intense Argumentation Tasks

https://github.com/helboukkouri/character-bert

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CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters

https://github.com/hhc1997/l2rm

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Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval

https://github.com/hirl-team/hirl

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HIRL: A General Framework for Hierarchical Image Representation Learning

https://github.com/historicalink/SSD-Old-Spanish

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Historical Ink: Semantic Shift Detection for 19th Century Spanish

https://github.com/hku-medai/wsi-hgnn

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Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning

https://github.com/hpicgs/topic-models-and-dimensionality-reduction-sensitivity-study

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A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text Spatializations

https://github.com/hqa-attack/hqaattack-demo

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HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text

https://github.com/hugomcp/quadruplets

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A Quadruplet Loss for Enforcing Semantically Coherent Embeddings in Multi-output Classification Problems

https://github.com/iai-group/sigir2019-table2vec

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Table2Vec: Neural Word and Entity Embeddings for Table Population and Retrieval

https://github.com/iai-group/www2018-table

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Ad Hoc Table Retrieval using Semantic Similarity

https://github.com/ibm/comparing-corpora

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Measuring the Measuring Tools: An Automatic Evaluation of Semantic Metrics for Text Corpora

https://github.com/ibm/meme

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Measuring the Measuring Tools: An Automatic Evaluation of Semantic Metrics for Text Corpora

https://github.com/icml-2020-nlp/semsim

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Learning by Semantic Similarity Makes Abstractive Summarization Better

https://github.com/idea-finai/tog-2

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Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation

https://github.com/idealwhite/tdanet

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Text-Guided Neural Image Inpainting

https://github.com/iesl/knnlm-retrieval-quality

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You can't pick your neighbors, or can you? When and how to rely on retrieval in the $k$NN-LM

https://github.com/ihmc/findings-of-acl-2022-concern-detection

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From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and Domains

https://github.com/infzhou/sam-pd

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SAM-PD: How Far Can SAM Take Us in Tracking and Segmenting Anything in Videos by Prompt Denoising

https://github.com/j-l-o/sk-hurt-ncd

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Supervised Knowledge May Hurt Novel Class Discovery Performance

https://github.com/jabalazs/gating

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Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical Study

https://github.com/jacoxu/short-text-hashing-HMTT

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Short Text Hashing Improved by Integrating Multi-Granularity Topics and Tags

https://github.com/jam963/semantics-or-spelling

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Semantics or spelling? Probing contextual word embeddings with orthographic noise

https://github.com/jasenchn/TARSA

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Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification

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

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Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation

https://github.com/jeewoo1025/balsum

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Balancing Lexical and Semantic Quality in Abstractive Summarization

https://github.com/jianguda/mrncs

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Multimodal Representation for Neural Code Search

https://github.com/jiaqi5598/adavib

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Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information Flow

https://github.com/jimengshi/hypercube-rag

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Hypercube-RAG: Hypercube-Based Retrieval-Augmented Generation for In-domain Scientific Question-Answering

https://github.com/jingyangqiao/coin

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Large Continual Instruction Assistant

https://github.com/jinlhe/pefomed

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PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging

https://github.com/jlpainter/AMIA2025

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Ontology-based Semantic Similarity Measures for Clustering Medical Concepts in Drug Safety

https://github.com/joongbo/tta

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Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning

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