https://github.com/ppartha03/Semantic-Loss-Dialogue-Generation
공식 코드A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic loss
Papers with Code 아카이브
Semantic Similarity
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 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/prashantksharma/CaCD
공식 코드https://github.com/princeton-nlp/c-sts
공식 코드https://github.com/princeton-nlp/semsup
공식 코드SemSup: Semantic Supervision for Simple and Scalable Zero-shot Generalization
https://github.com/princetonvisualai/imagenetood
공식 코드ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms
https://github.com/priya22/semantic-textual-relatedness
공식 코드What Makes Sentences Semantically Related: A Textual Relatedness Dataset and Empirical Study
https://github.com/prometheusXN/D-LADAN
공식 코드Distinguish Confusion in Legal Judgment Prediction via Revised Relation Knowledge
https://github.com/psyonp/accidental_misalignment
공식 코드Accidental Misalignment: Fine-Tuning Language Models Induces Unexpected Vulnerability
https://github.com/ptarau/recursors
공식 코드Full Automation of Goal-driven LLM Dialog Threads with And-Or Recursors and Refiner Oracles
https://github.com/puerrrr/Self-Paced-Adversarial-Training
공식 코드Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting
https://github.com/qijimrc/robustoie
공식 코드Syntactically Robust Training on Partially-Observed Data for Open Information Extraction
https://github.com/qiongwu86/semantic-aware-resource-management-for-c-v2x-platooning-via-multi-agent-reinforcement-learning
공식 코드Semantic-Aware Resource Management for C-V2X Platooning via Multi-Agent Reinforcement Learning
https://github.com/raphael-sch/HC_Sentence_Summarization
공식 코드Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction
https://github.com/rashad101/rome
공식 코드RoMe: A Robust Metric for Evaluating Natural Language Generation
https://github.com/rdenaux/acred
공식 코드Linked Credibility Reviews for Explainable Misinformation Detection
https://github.com/recombee/beeformer
공식 코드beeFormer: Bridging the Gap Between Semantic and Interaction Similarity in Recommender Systems
https://github.com/reinforest-team/reinforest
공식 코드REINFOREST: Reinforcing Semantic Code Similarity for Cross-Lingual Code Search Models
https://github.com/rhymesg/SRNN
공식 코드Scalable Learning With a Structural Recurrent Neural Network for Short-Term Traffic Prediction
https://github.com/richermans/AudioCaption
공식 코드https://github.com/rongchengtu1/uhscm
공식 코드https://github.com/ruathudo/tfw2v
공식 코드TFW2V: An Enhanced Document Similarity Method for the Morphologically Rich Finnish Language
https://github.com/ruc-wjyu/iot-match
공식 코드Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction
https://github.com/rui-qian/read
공식 코드Reasoning to Attend: Try to Understand How <SEG> Token Works
https://github.com/rulegreen/cue-cot
공식 코드Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs
https://github.com/rulegreen/dialogue_cot
공식 코드Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs
https://github.com/ruocwang/mixture-of-prompts
공식 코드One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts
https://github.com/rupakdas18/fake-news-detection-after-llm-laundering
공식 코드Fake News Detection After LLM Laundering: Measurement and Explanation
https://github.com/sara-rajaee/multilingual-isotropy
공식 코드An Isotropy Analysis in the Multilingual BERT Embedding Space
https://github.com/satoshi-kosugi/powerful-attention
공식 코드https://github.com/sayeh1994/medical-corpus-semantic-similarity-evaluation
공식 코드https://github.com/schen149/sub-sentence-encoder
공식 코드Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations
https://github.com/sczwangxiao/radar-mm2022
공식 코드Micro-video Tagging via Jointly Modeling Social Influence and Tag Relation
https://github.com/semantic-textual-relatedness/semantic_relatedness_semeval2024
공식 코드SemEval-2024 Task 1: Semantic Textual Relatedness for African and Asian Languages
https://github.com/sense-gvt/sncse
공식 코드SNCSE: Contrastive Learning for Unsupervised Sentence Embedding with Soft Negative Samples
https://github.com/sgoel97/neurips-embedding-positional-bias
공식 코드https://github.com/shanzhenren/PLE
공식 코드Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.