https://github.com/ArthurP-351/EduCoder
공식 코드EduCoder: An Open-Source Annotation System for Education Transcript Data
Papers with Code 아카이브
text annotation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/CreativeCodingLab/TextAnnotationGraphs
공식 코드Text Annotation Graphs: Annotating Complex Natural Language Phenomena
https://github.com/PoliNemkova/LLM_labeling_skills
공식 코드Comparing LLM Text Annotation Skills: A Study on Human Rights Violations in Social Media Data
https://github.com/Qi-Zhangyang/GPT4Scene
공식 코드GPT4Scene: Understand 3D Scenes from Videos with Vision-Language Models
https://github.com/centre-for-humanities-computing/llm-tweet-classification
공식 코드https://github.com/cssmodels/howtousellms
공식 코드https://github.com/davidjurgens/potato
공식 코드https://github.com/dominik-schnaus/itsamatch
공식 코드It's a (Blind) Match! Towards Vision-Language Correspondence without Parallel Data
https://github.com/dreamyang-liu/SciAnnotate
공식 코드SciAnnotate: A Tool for Integrating Weak Labeling Sources for Sequence Labeling
https://github.com/hawaii-ai/bus-cleaning
공식 코드https://github.com/hlchen23/verified
공식 코드VERIFIED: A Video Corpus Moment Retrieval Benchmark for Fine-Grained Video Understanding
https://github.com/huanglizi/lvit
공식 코드LViT: Language meets Vision Transformer in Medical Image Segmentation
https://github.com/idea-research/motion-x
공식 코드Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset
https://github.com/j-min/clip-caption-reward
공식 코드https://github.com/jiesutd/YEDDA
공식 코드YEDDA: A Lightweight Collaborative Text Span Annotation Tool
https://github.com/lingo-iitgn/commentator
공식 코드COMMENTATOR: A Code-mixed Multilingual Text Annotation Framework
https://github.com/ncbi-nlp/TeamTat
공식 코드https://github.com/nikolamilosevic86/Marvin
공식 코드Marvin: Semantic annotation using multiple knowledge sources
https://github.com/olawod/freevc
공식 코드FreeVC: Towards High-Quality Text-Free One-Shot Voice Conversion
https://github.com/openvinotoolkit/training_extensions
공식 코드Open Images V5 Text Annotation and Yet Another Mask Text Spotter
https://github.com/openvinotoolkit/training_extensions/tree/develop/models/text_spotting/model_templates/alphanumeric-text-spotting
공식 코드Open Images V5 Text Annotation and Yet Another Mask Text Spotter
https://github.com/pipixin321/holmesvau
공식 코드Holmes-VAU: Towards Long-term Video Anomaly Understanding at Any Granularity
https://github.com/praznat/annotationmodeling
공식 코드https://github.com/renuk9390/patent-annotation
공식 코드https://github.com/renuk9390/patent_sentiment_analysis
공식 코드https://github.com/salt-nlp/coannotating
공식 코드https://github.com/sjdai/llm-thematic-analysis
공식 코드LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysis
https://github.com/tijana-zrnic/pac-labels
공식 코드https://github.com/weijiawu/BOVText-Benchmark
공식 코드A Bilingual, OpenWorld Video Text Dataset and End-to-end Video Text Spotter with Transformer
https://github.com/weijiawu/transvtspotter
공식 코드A Bilingual, OpenWorld Video Text Dataset and End-to-end Video Text Spotter with Transformer
https://github.com/yunkun-zhang/cite
공식 코드Text-guided Foundation Model Adaptation for Pathological Image Classification
https://github.com/zhuhao-nju/describe3d
공식 코드High-Fidelity 3D Face Generation from Natural Language Descriptions
https://github.com/codemonsterphd/pneumollm
Text-guided Foundation Model Adaptation for Pathological Image Classification
https://github.com/nikolamilosevic86/TabInOut
Marvin: Semantic annotation using multiple knowledge sources
https://github.com/refuel-ai/autolabel
https://github.com/roudimit/AVLnet
AVLnet: Learning Audio-Visual Language Representations from Instructional Videos
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.