Papers with Code 아카이브

Semantic Textual Similarity

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

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/hqa-attack/hqaattack-demo

공식 코드

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

https://github.com/huawei-noah/Pretrained-Language-Model/tree/master/TinyBERT

공식 코드

TinyBERT: Distilling BERT for Natural Language Understanding

https://github.com/huggingface/swift-coreml-transformers

공식 코드

DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

https://github.com/huggingface/transformers

공식 코드

DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

https://github.com/huggingface/transformers/blob/main/src/transformers/models/squeezebert/modeling_squeezebert.py

공식 코드

SqueezeBERT: What can computer vision teach NLP about efficient neural networks?

https://github.com/hugomcp/quadruplets

공식 코드

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

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

공식 코드

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

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

공식 코드

Ad Hoc Table Retrieval using Semantic Similarity

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

공식 코드

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

https://github.com/ibm/meme

공식 코드

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

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

공식 코드

Learning by Semantic Similarity Makes Abstractive Summarization Better

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

공식 코드

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

https://github.com/idealwhite/tdanet

공식 코드

Text-Guided Neural Image Inpainting

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

공식 코드

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

공식 코드

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

https://github.com/ikergarcia1996/MVM-Embeddings

공식 코드

A Common Semantic Space for Monolingual and Cross-Lingual Meta-Embeddings

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

공식 코드

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

https://github.com/intellabs/model-compression-research-package

공식 코드

Q8BERT: Quantized 8Bit BERT

https://github.com/ir2718/similarity-embedding-quality

공식 코드

Are ELECTRA's Sentence Embeddings Beyond Repair? The Case of Semantic Textual Similarity

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

공식 코드

Supervised Knowledge May Hurt Novel Class Discovery Performance

https://github.com/j4vorsky/word-importance

공식 코드

Assessing Word Importance Using Models Trained for Semantic Tasks

https://github.com/jabalazs/gating

공식 코드

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

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

공식 코드

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

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

공식 코드

Semantics or spelling? Probing contextual word embeddings with orthographic noise

https://github.com/jasenchn/TARSA

공식 코드

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

https://github.com/jasl1/robustsentembed

공식 코드

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

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

공식 코드

Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation

https://github.com/jeewoo1025/balsum

공식 코드

Balancing Lexical and Semantic Quality in Abstractive Summarization

https://github.com/jianguda/mrncs

공식 코드

Multimodal Representation for Neural Code Search

https://github.com/jiaqi5598/adavib

공식 코드

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

https://github.com/jihuishan/flexible_evaluation_for_vqa_mm24

공식 코드

Towards Flexible Evaluation for Generative Visual Question Answering

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

공식 코드

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

https://github.com/jingyangqiao/coin

공식 코드

Large Continual Instruction Assistant

https://github.com/jinlhe/pefomed

공식 코드

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

https://github.com/jjy961228/ConCSE

공식 코드

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

https://github.com/jlpainter/AMIA2025

공식 코드

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

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