Papers with Code 아카이브
Natural Language Understanding
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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://bitbucket.org/knowlp/asp-fo-abduction
공식 코드Modeling Variations of First-Order Horn Abduction in Answer Set Programming
https://bitbucket.org/tsendeemts/nse
공식 코드https://github.com/24yearsoldstudent/individual-nlu
공식 코드Understanding and Tackling Label Errors in Individual-Level Nature Language Understanding
https://github.com/ACL2020Anonymous/SymBERT
공식 코드Symmetric Regularization based BERT for Pair-wise Semantic Reasoning
https://github.com/AI-Application-and-Integration-Lab/Accept
공식 코드ACCEPT: Adaptive Codebook for Composite and Efficient Prompt Tuning
https://github.com/AI4Bharat/adapter-efficiency
공식 코드https://github.com/AI4Bharat/indicSUPERB
공식 코드IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian languages
https://github.com/Aaronhuang-778/SliM-LLM
공식 코드SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models
https://github.com/AbhilashaRavichander/EQUATE
공식 코드EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference
https://github.com/Alab-NII/onecommon
공식 코드An Annotated Corpus of Reference Resolution for Interpreting Common Grounding
https://github.com/AlessioMongelluzzo/FISinFIS_Apriori_Python
공식 코드RECKONition: a NLP-based system for Industrial Accidents at Work Prevention
https://github.com/Andrew03/transformer-abstractive-summarization
공식 코드Efficient Adaptation of Pretrained Transformers for Abstractive Summarization
https://github.com/Aradhye2002/selective-peft-toolkit
공식 코드Step-by-Step Unmasking for Parameter-Efficient Fine-tuning of Large Language Models
https://github.com/AsaCooperStickland/Bert-n-Pals
공식 코드BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning
https://github.com/CLUEbenchmark/CLUE
공식 코드https://github.com/CLUEbenchmark/FewCLUE
공식 코드https://github.com/CogComp/perspectroscope
공식 코드PerspectroScope: A Window to the World of Diverse Perspectives
https://github.com/CogComp/perspectrum
공식 코드Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims
https://github.com/CyberAgentAILab/posthoc-control-moe
공식 코드https://github.com/DLYuanGod/RPN
공식 코드RPN: A Word Vector Level Data Augmentation Algorithm in Deep Learning for Language Understanding
https://github.com/Damcy/cascadeLSTMDRL
공식 코드Cascaded LSTMs based Deep Reinforcement Learning for Goal-driven Dialogue
https://github.com/EdinburghNLP/csi-corpus
공식 코드Whodunnit? Crime Drama as a Case for Natural Language Understanding
https://github.com/GT-SALT/HiddenCut
공식 코드HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalization
https://github.com/GanjinZero/BioBART
공식 코드BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model
https://github.com/GeorgeVern/AFTERV1.0
공식 코드https://github.com/HCPLab-SYSU/Medical_DS
공식 코드End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis
https://github.com/HKUST-KnowComp/PCR
공식 코드A Brief Survey and Comparative Study of Recent Development of Pronoun Coreference Resolution
https://github.com/HKUST-KnowComp/Visual_PCR
공식 코드What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues
https://github.com/HMEIatJHU/NeuralWalker
공식 코드Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences
https://github.com/HanXudong/GLoM
공식 코드Grounding learning of modifier dynamics: An application to color naming
https://github.com/Hang422/causal-thought-graph
공식 코드Causal Graphs Meet Thoughts: Enhancing Complex Reasoning in Graph-Augmented LLMs
https://github.com/Hazelsuko07/TextHide
공식 코드TextHide: Tackling Data Privacy in Language Understanding Tasks
https://github.com/IBM/PoWER-BERT
공식 코드PoWER-BERT: Accelerating BERT Inference via Progressive Word-vector Elimination
https://github.com/INK-USC/CALM
공식 코드Pre-training Text-to-Text Transformers for Concept-centric Common Sense
https://github.com/INK-USC/IsoBN
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.