https://github.com/miulab/plm-icd
공식 코드PLM-ICD: Automatic ICD Coding with Pretrained Language Models
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/mivg/sled
공식 코드https://github.com/mlgroupjlu/rwkv-survey
공식 코드https://github.com/mlvlab/Flipped-VQA
공식 코드Large Language Models are Temporal and Causal Reasoners for Video Question Answering
https://github.com/mmcdermott/structure_inducing_pre-training
공식 코드https://github.com/mnschmit/conan
공식 코드Continuous Entailment Patterns for Lexical Inference in Context
https://github.com/modelscope/adaseq
공식 코드Chinese Sequence Labeling with Semi-Supervised Boundary-Aware Language Model Pre-training
https://github.com/moein-shariatnia/OpenAI-CLIP
공식 코드ENIGMA-51: Towards a Fine-Grained Understanding of Human-Object Interactions in Industrial Scenarios
https://github.com/mohammad-mozaffari/slim
공식 코드SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression
https://github.com/mohammed-elkomy/quran-qa
공식 코드https://github.com/mooler0410/llmspracticalguide
공식 코드Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
https://github.com/mosharafhossain/large-afin-and-nlu
공식 코드Leveraging Affirmative Interpretations from Negation Improves Natural Language Understanding
https://github.com/mosharafhossain/negation-and-nlu
공식 코드An Analysis of Negation in Natural Language Understanding Corpora
https://github.com/mourga/contrastive-active-learning
공식 코드On the Importance of Effectively Adapting Pretrained Language Models for Active Learning
https://github.com/moussaKam/BARThez
공식 코드BARThez: a Skilled Pretrained French Sequence-to-Sequence Model
https://github.com/mpoemsl/kitmus
공식 코드https://github.com/mrflogs/LoRA-Pro
공식 코드https://github.com/msadat3/scinli
공식 코드SciNLI: A Corpus for Natural Language Inference on Scientific Text
https://github.com/msh2481/language_transfer
공식 코드https://github.com/msmadi/Arabic-Dataset-for-Commonsense-Validationion
공식 코드Is this sentence valid? An Arabic Dataset for Commonsense Validation
https://github.com/mthcom/hscore-dataset-pruning
공식 코드Automatic Pruning of Fine-tuning Datasets for Transformer-based Language Models
https://github.com/muhayyuddin/vlas
공식 코드Vision Language Action Models in Robotic Manipulation: A Systematic Review
https://github.com/nafissadeq/informask
공식 코드InforMask: Unsupervised Informative Masking for Language Model Pretraining
https://github.com/naiqili/logic-of-thought
공식 코드https://github.com/namisan/mt-dnn
공식 코드Multi-Task Deep Neural Networks for Natural Language Understanding
https://github.com/nardien/kala
공식 코드https://github.com/naver-ai/cream
공식 코드https://github.com/naver-ai/elva
공식 코드https://github.com/necla-ml/debug-test-suites
공식 코드https://github.com/nert-gu/streusle
공식 코드Comprehensive Supersense Disambiguation of English Prepositions and Possessives
https://github.com/nert-nlp/streusle
공식 코드https://github.com/ngxtnhi/vilexnorm
공식 코드ViLexNorm: A Lexical Normalization Corpus for Vietnamese Social Media Text
https://github.com/nhhoang96/cof-cot
공식 코드https://github.com/nhhoang96/multicl_slot_induction
공식 코드Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive Learning
https://github.com/nicolas-lair/AidMe
공식 코드User-in-the-loop Adaptive Intent Detection for Instructable Digital Assistant
https://github.com/nii-cl/projectivity-of-presupposition
공식 코드PROPRES: Investigating the Projectivity of Presupposition with Various Triggers and Environments
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.