Data Mining
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/veranchos/argmining_tweets
공식 코드https://github.com/vrcmf/dmon
공식 코드DMON: A Simple yet Effective Approach for Argument Structure Learning
https://github.com/warnikchow/sae4k
공식 코드https://github.com/webis-de/argmining-21
공식 코드Key Point Analysis via Contrastive Learning and Extractive Argument Summarization
https://github.com/webis-de/naacl-24
공식 코드A School Student Essay Corpus for Analyzing Interactions of Argumentative Structure and Quality
https://github.com/webis-de/ratio-24
공식 코드Are Large Language Models Reliable Argument Quality Annotators?
https://github.com/yanzhuguo/substanreview
공식 코드Automatic Analysis of Substantiation in Scientific Peer Reviews
https://github.com/yevzh/llm4cd-release
공식 코드LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis
https://github.com/yohanjo/emnlp20_prop_extr
공식 코드Extracting Implicitly Asserted Propositions in Argumentation
https://github.com/yohanjo/tacl_arg_rel
공식 코드Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemes
https://github.com/yuanhaoguo/circular-camera-calibration
공식 코드Probabilistic Inference for Camera Calibration in Light Microscopy under Circular Motion
https://github.com/zekaouinoureddine/Opinion-Transformers
공식 코드https://github.com/zekavat-itrc/sentiment-analysis
공식 코드Constructing Colloquial Dataset for Persian Sentiment Analysis of Social Microblogs
https://github.com/zeroix15/Twitter_Sarcasm_Detections
공식 코드Sarcasm Detection in Twitter -- Performance Impact while using Data Augmentation: Word Embeddings
https://github.com/zhangaipi/dim
공식 코드Discover and Mitigate Multiple Biased Subgroups in Image Classifiers
https://codigos.ufsc.br/lapix/Sketch2AIA
https://github.com/AstraZeneca/chemicalx
CASTER: Predicting Drug Interactions with Chemical Substructure Representation
https://github.com/BunsenFeng/news_stance_detection
KGAP: Knowledge Graph Augmented Political Perspective Detection in News Media
https://github.com/HMProenca/RobustSubgroupDiscovery
Discovering outstanding subgroup lists for numeric targets using MDL
https://github.com/HMProenca/robust-rules-for-prediction-and-description
Discovering outstanding subgroup lists for numeric targets using MDL
https://github.com/HarryHe11/CSD
https://github.com/LawrenceDuan/myLASER
Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings
https://github.com/LiyingCheng95/ArgumentPairExtraction
https://github.com/RemilYoucef/sd-4sql/tree/main/Code
"What makes my queries slow?": Subgroup Discovery for SQL Workload Analysis
https://github.com/SerenaYKim/SolarSentiment
https://github.com/Tony4469/laser-agir
Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings
https://github.com/Unbabel/COMET
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
https://github.com/Valentyn1997/semi-supervised-text-classification
https://github.com/Vidyapiratha/FYP
Towards Sub-Word Level Compositions for Sentiment Analysis of Hindi-English Code Mixed Text
https://github.com/ZhangAIPI/YOPO_MLLM_Pruning
Discover and Mitigate Multiple Biased Subgroups in Image Classifiers
https://github.com/ZhijieXiong/pyedmine
Neural Cognitive Diagnosis for Intelligent Education Systems
https://github.com/ablx/comparative-arguments-thesis
https://github.com/alemol/flat
Active learning in annotating micro-blogs dealing with e-reputation
https://github.com/antonbrazhnyi/AdaLAM
https://github.com/asking28/offenseval2020
A Corpus of English-Hindi Code-Mixed Tweets for Sarcasm Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.