Papers with Code 아카이브
Natural Language Understanding
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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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://github.com/nitucristian/automaticwordpuzzlessolversystem
공식 코드https://github.com/nkh2235/SyntaxBERT
공식 코드Syntax-BERT: Improving Pre-trained Transformers with Syntax Trees
https://github.com/nkrasner/cl-clip-align
공식 코드Cross-Lingual Representation Alignment Through Contrastive Image-Caption Tuning
https://github.com/nlp-waseda/comet-atomic-ja
공식 코드PHALM: Building a Knowledge Graph from Scratch by Prompting Humans and a Language Model
https://github.com/nmndeep/perturbandrecover
공식 코드Perturb and Recover: Fine-tuning for Effective Backdoor Removal from CLIP
https://github.com/nttmdlab-nlp/VisualMRC
공식 코드https://github.com/nu-dialogue/antor
공식 코드Adaptive Natural Language Generation for Task-oriented Dialogue via Reinforcement Learning
https://github.com/nuozimiaowu/Text4VPR
공식 코드https://github.com/nusioraprivacy/eaas-privacy
공식 코드Split-and-Denoise: Protect large language model inference with local differential privacy
https://github.com/nyu-dl/NLP_DL_Lecture_Note
공식 코드Natural Language Understanding with Distributed Representation
https://github.com/nyu-dl/dl4mt-seqgen
공식 코드A Generalized Framework of Sequence Generation with Application to Undirected Sequence Models
https://github.com/nyu-mll/CNLI-generalization
공식 코드https://github.com/nyu-mll/crowdsourcing-protocol-comparison
공식 코드https://github.com/observeai-research/nli-fsl
공식 코드Exploring the Limits of Natural Language Inference Based Setup for Few-Shot Intent Detection
https://github.com/ohadrubin/epr
공식 코드https://github.com/oja/pruned-nlu
공식 코드Accelerating Natural Language Understanding in Task-Oriented Dialog
https://github.com/onlplab/hegel
공식 코드https://github.com/oooranz/baby-cothought
공식 코드Baby's CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models
https://github.com/openai/CLIP
공식 코드Learning Transferable Visual Models From Natural Language Supervision
https://github.com/orange0629/llm-personas
공식 코드https://github.com/oskarholmstrom/lang-adapters-impact
공식 코드The Impact of Language Adapters in Cross-Lingual Transfer for NLU
https://github.com/oxinabox/ColoringNames.jl
공식 코드Learning of Colors from Color Names: Distribution and Point Estimation
https://github.com/pangolulu/DCMTL
공식 코드Deep Cascade Multi-task Learning for Slot Filling in Online Shopping Assistant
https://github.com/patpizio/vennabers-for-nlu
공식 코드Calibration of Natural Language Understanding Models with Venn--ABERS Predictors
https://github.com/paulaonta/blind-valm
공식 코드Improving the Efficiency of Visually Augmented Language Models
https://github.com/persiannlp/parsinlu
공식 코드ParsiNLU: A Suite of Language Understanding Challenges for Persian
https://github.com/pgurunath/confusion2vec_2.0
공식 코드Confusion2vec 2.0: Enriching Ambiguous Spoken Language Representations with Subwords
https://github.com/phanchauthang/ViCGCN
공식 코드https://github.com/phenixace/molregpt
공식 코드https://github.com/phosseini/GisPy
공식 코드https://github.com/phusroyal/vihos
공식 코드https://github.com/pjlintw/sample-size
공식 코드Revisiting Sample Size Determination in Natural Language Understanding
https://github.com/pkhdipraja/tapir
공식 코드https://github.com/pku-tangent/configure
공식 코드ConFiguRe: Exploring Discourse-level Chinese Figures of Speech
https://github.com/pkuyym/evolvingattention
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.