https://github.com/adlnlp/doc_gcn
공식 코드Doc-GCN: Heterogeneous Graph Convolutional Networks for Document Layout Analysis
Papers with Code 아카이브
Data Mining
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/alessiopittiglio/mm-argfallacy
공식 코드Leveraging Context for Multimodal Fallacy Classification in Political Debates
https://github.com/alibaba-nlp/key-point-analysis
공식 코드Exploring Key Point Analysis with Pairwise Generation and Graph Partitioning
https://github.com/aminhn/MPP
공식 코드Constraint-based Sequential Pattern Mining with Decision Diagrams
https://github.com/aminhn/bdtrie
공식 코드Memory-Efficient Sequential Pattern Mining with Hybrid Tries
https://github.com/anaryegen/few_shot_argument_mining
공식 코드Argument Mining in Data Scarce Settings: Cross-lingual Transfer and Few-shot Techniques
https://github.com/anasishfaque/voltavision
공식 코드VoltaVision: A Transfer Learning model for electronic component classification
https://github.com/apairofbigwings/cross-lingual-opinion-mining
공식 코드A Case Study and Qualitative Analysis of Simple Cross-Lingual Opinion Mining
https://github.com/arvind-balaji/debate-cards
공식 코드DebateSum: A large-scale argument mining and summarization dataset
https://github.com/bigdata-ustc/NeuralCD
공식 코드Neural Cognitive Diagnosis for Intelligent Education Systems
https://github.com/bigdata-ustc/Zero-1-to-3
공식 코드https://github.com/bigdata-ustc/coral
공식 코드Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling
https://github.com/bigdata-ustc/educat
공식 코드Survey of Computerized Adaptive Testing: A Machine Learning Perspective
https://github.com/bimk/intelligent-education
공식 코드DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis
https://github.com/bobxwu/cfdtm
공식 코드https://github.com/bobxwu/topmost
공식 코드https://github.com/bxshi/DiscourseVisualization
공식 코드https://github.com/cedricdeboom/RepresentationLearning
공식 코드Representation learning for very short texts using weighted word embedding aggregation
https://github.com/clarkdinh/chusp
공식 코드https://github.com/corradomonti/learnable-opinion-dynamics
공식 코드https://github.com/cruiseresearchgroup/AuxMobLCast
공식 코드Leveraging Language Foundation Models for Human Mobility Forecasting
https://github.com/cslijt/id-cdf
공식 코드https://github.com/cvg/lightglue
공식 코드https://github.com/damo-nlp-sg/llm-argumentation
공식 코드Exploring the Potential of Large Language Models in Computational Argumentation
https://github.com/dengyang17/OAAG
공식 코드Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce
https://github.com/devilyangs/emo-nas-cd
공식 코드https://github.com/dsi-lab1/huspm
공식 코드https://github.com/ecnu-ilog/lrcd
공식 코드Language Representation Favored Zero-Shot Cross-Domain Cognitive Diagnosis
https://github.com/engsalem/arglegalsumm
공식 코드ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument Mining
https://github.com/epochx/opinatt
공식 코드Mining fine-grained opinions on closed captions of YouTube videos with an attention-RNN
https://github.com/epochx/opminreplicability
공식 코드Replication issues in syntax-based aspect extraction for opinion mining
https://github.com/eusip/POM
공식 코드A multimodal movie review corpus for fine-grained opinion mining
https://github.com/facebookresearch/LASER
공식 코드Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings
https://github.com/facebookresearch/muss
공식 코드MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases
https://github.com/fromm-m/aaai2021-am-peer-reviews
공식 코드https://github.com/fxing79/ibaa
공식 코드Discovering Bayesian Market Views for Intelligent Asset Allocation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.