Sentence Pair Modeling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 0
- 보존된 평가 기록
- 0
Comparing two sentences and their relationship based on their internal representation.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/liuxu77/stgcl
공식 코드When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting?
https://github.com/liuyyy111/AVSE
공식 코드Asymmetric Visual Semantic Embedding Framework for Efficient Vision-Language Alignment
https://github.com/lmbxmu/mycode
공식 코드https://github.com/ltgoslo/definition_modeling
공식 코드https://github.com/luisoala/non-iid-ssdl
공식 코드https://github.com/lujunru/napss
공식 코드https://github.com/lukun199/semanticrl
공식 코드Reinforcement Learning-powered Semantic Communication via Semantic Similarity
https://github.com/lupantech/rvqa
공식 코드R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering
https://github.com/maiiabocharova/vacancysbert
공식 코드https://github.com/mainlp/dialect-BLI
공식 코드Low-resource Bilingual Dialect Lexicon Induction with Large Language Models
https://github.com/malajikuai/tdsgl
공식 코드Topology-aware Debiased Self-supervised Graph Learning for Recommendation
https://github.com/malteos/legal-document-similarity
공식 코드Evaluating Document Representations for Content-based Legal Literature Recommendations
https://github.com/manishb89/interpretable_sentence_similarity
공식 코드Logic Constrained Pointer Networks for Interpretable Textual Similarity
https://github.com/martiansideofthemoon/relic-retrieval
공식 코드https://github.com/matthewfl/nlp-entity-convnet
공식 코드Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks
https://github.com/mattroos/null_class_adversarial_defense
공식 코드https://github.com/maxxu05/relcon
공식 코드RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data
https://github.com/mayug/0-shot-llm-vision
공식 코드Do Vision and Language Encoders Represent the World Similarly?
https://github.com/mchen24/iclr2017
공식 코드Efficient Vector Representation for Documents through Corruption
https://github.com/meddjilani/fashionrecommender
공식 코드Trend-Aware Fashion Recommendation with Visual Segmentation and Semantic Similarity
https://github.com/megagonlabs/emu
공식 코드Emu: Enhancing Multilingual Sentence Embeddings with Semantic Specialization
https://github.com/metaphors/TSAttack
공식 코드TSCheater: Generating High-Quality Tibetan Adversarial Texts via Visual Similarity
https://github.com/mfaisalzaki/pair2023-semantic-similarity-metrics
공식 코드Bridging the Gap between Structural and Semantic Similarity in Diverse Planning
https://github.com/mi2datalab/sefnet-healthcare
공식 코드SeFNet: Bridging Tabular Datasets with Semantic Feature Nets
https://github.com/mi3labucm/coooler
공식 코드https://github.com/michiyasunaga/LinkBERT
공식 코드https://github.com/microsoft/Distilled-Sentence-Embedding
공식 코드Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding
https://github.com/microsoft/SDR
공식 코드https://github.com/microsoft/bimodalaudioseparation
공식 코드Weakly-supervised Audio Separation via Bi-modal Semantic Similarity
https://github.com/minasmz/persian-summarization
공식 코드https://github.com/mingdachen/disentangle-semantics-syntax
공식 코드A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations
https://github.com/mir-mu/softalign_objectives
공식 코드Soft Alignment Objectives for Robust Adaptation of Language Generation
https://github.com/mk-runner/FSE
공식 코드Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report Generation
https://github.com/mkremins/spleenwort
공식 코드Guiding and Diversifying LLM-Based Story Generation via Answer Set Programming
https://github.com/mlvlab/RALF
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.