https://github.com/sailor-z/dvmnet
공식 코드DVMNet++: Rethinking Relative Pose Estimation for Unseen Objects
Papers with Code 아카이브
Natural Language Understanding
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 평가표
- 6
- 보존된 평가 기록
- 42
Natural Language Understanding is an important field of Natural Language Processing which contains various tasks such as text classification, natural language inference and story comprehension. Applications enabled by natural language understanding range from question answering to automated reasoning.
Source: Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test?
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/salesforce/DialogStudio
공식 코드DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI
https://github.com/salesforce/ebm_calibration_nlu
공식 코드Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models
https://github.com/salesforce/mpt
공식 코드https://github.com/salt-nlp/value
공식 코드https://github.com/sci-assess/sciassess
공식 코드SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis
https://github.com/scofield7419/XSRL-ACL
공식 코드Cross-Lingual Semantic Role Labeling with High-Quality Translated Training Corpus
https://github.com/scutcyr/CPED
공식 코드CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI
https://github.com/sebschu/naacl-gapping
공식 코드Sentences with Gapping: Parsing and Reconstructing Elided Predicates
https://github.com/selgroup/sepc
공식 코드https://github.com/selimfirat/bilkent-turkish-writings-dataset
공식 코드TURNA: A Turkish Encoder-Decoder Language Model for Enhanced Understanding and Generation
https://github.com/sfu-db/CleanAgent
공식 코드CleanAgent: Automating Data Standardization with LLM-based Agents
https://github.com/shailaja183/vl-glue
공식 코드VL-GLUE: A Suite of Fundamental yet Challenging Visuo-Linguistic Reasoning Tasks
https://github.com/shanyas10/Evaluating-gender-bias
공식 코드https://github.com/shiningliang/Multi-level-Causality-Detection-Network
공식 코드A Multi-level Neural Network for Implicit Causality Detection in Web Texts
https://github.com/shtoshni/learning-chess-blindfolded
공식 코드https://github.com/shtoshni92/learning-chess-blindfolded
공식 코드https://github.com/shudun23/aroma
공식 코드https://github.com/shwetanlp/yahoo-chq-summ
공식 코드CHQ-Summ: A Dataset for Consumer Healthcare Question Summarization
https://github.com/siddk/glamdp
공식 코드https://github.com/silverriver/ood4nlu
공식 코드Out-of-domain Detection for Natural Language Understanding in Dialog Systems
https://github.com/simiaozuo/moebert
공식 코드MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation
https://github.com/sisinflab/llm-memoryinspector
공식 코드Do LLMs Memorize Recommendation Datasets? A Preliminary Study on MovieLens-1M
https://github.com/sisl/EvidentialSparsification
공식 코드Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders
https://github.com/siyuyuan/kpce
공식 코드Causality-aware Concept Extraction based on Knowledge-guided Prompting
https://github.com/sjdayday/xschema
공식 코드https://github.com/skddj/loldu
공식 코드LoLDU: Low-Rank Adaptation via Lower-Diag-Upper Decomposition for Parameter-Efficient Fine-Tuning
https://github.com/smartmedia-ai/norglm
공식 코드https://github.com/snipsco/nlu-benchmark
공식 코드https://github.com/snipsco/snips-nlu
공식 코드https://github.com/snowflakedb/ArcticTraining
공식 코드Arctic-Text2SQL-R1: Simple Rewards, Strong Reasoning in Text-to-SQL
https://github.com/sonlam1102/text_augmentation_vietnamese
공식 코드Empirical Study of Text Augmentation on Social Media Text in Vietnamese
https://github.com/sonlam1102/vihsd-vietnamese-hate-speech-detection-dataset
공식 코드A Large-scale Dataset for Hate Speech Detection on Vietnamese Social Media Texts
https://github.com/sparkjiao/merit
공식 코드MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning
https://github.com/sreyan88/abex
공식 코드ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract Descriptions
https://github.com/srijamacherla24/mddial
공식 코드MDDial: A Multi-turn Differential Diagnosis Dialogue Dataset with Reliability Evaluation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.