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://github.com/adlnlp/form_nlu
공식 코드Form-NLU: Dataset for the Form Natural Language Understanding
https://github.com/adlnlp/tri-nlu
공식 코드Tri-level Joint Natural Language Understanding for Multi-turn Conversational Datasets
https://github.com/aeye-lab/emnlp-syntheticscanpaths-nlu-pretrainedlm
공식 코드Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding
https://github.com/ahmedssabir/Visual-Semantic-Relatedness-with-Word-Embedding
공식 코드Visual Re-ranking with Natural Language Understanding for Text Spotting
https://github.com/ahmedssabir/belief-revision-score
공식 코드Belief Revision based Caption Re-ranker with Visual Semantic Information
https://github.com/ai4bharat/indicbert
공식 코드https://github.com/aida-ugent/skillgpt
공식 코드LLM4Jobs: Unsupervised occupation extraction and standardization leveraging Large Language Models
https://github.com/aiha-lab/tsld
공식 코드Token-Scaled Logit Distillation for Ternary Weight Generative Language Models
https://github.com/ainagari/scalar_adjs
공식 코드https://github.com/aiot-mlsys-lab/efficient-llms-survey
공식 코드https://github.com/aiot-mlsys-lab/efficientllms
공식 코드https://github.com/aisingapore/bhasa
공식 코드BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models
https://github.com/aitmlouk/fedn-client-fedqas-tf
공식 코드FedQAS: Privacy-aware machine reading comprehension with federated learning
https://github.com/alab-nii/eval_vl_glue
공식 코드Effect of Visual Extensions on Natural Language Understanding in Vision-and-Language Models
https://github.com/albertan017/hicl
공식 코드HICL: Hashtag-Driven In-Context Learning for Social Media Natural Language Understanding
https://github.com/alexa/bort
공식 코드https://github.com/alexa/dialoglue
공식 코드DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue
https://github.com/alexa/massive
공식 코드https://github.com/alexwarstadt/data_generation
공식 코드Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition
https://github.com/alibaba-nlp/seqgpt
공식 코드SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence Understanding
https://github.com/alibaba/AliceMind
공식 코드Lattice-BERT: Leveraging Multi-Granularity Representations in Chinese Pre-trained Language Models
https://github.com/alibaba/AliceMind/tree/main/PALM
공식 코드PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation
https://github.com/alibaba/EasyNLP
공식 코드DKPLM: Decomposable Knowledge-enhanced Pre-trained Language Model for Natural Language Understanding
https://github.com/alibaba/federatedscope
공식 코드Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning
https://github.com/alibabaresearch/damo-convai
공식 코드Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue
https://github.com/allegro/klejbenchmark-baselines
공식 코드KLEJ: Comprehensive Benchmark for Polish Language Understanding
https://github.com/allenai/allennlp
공식 코드AllenNLP: A Deep Semantic Natural Language Processing Platform
https://github.com/allenai/comet-atomic-2020
공식 코드COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs
https://github.com/allenai/situation_modeling
공식 코드Breakpoint Transformers for Modeling and Tracking Intermediate Beliefs
https://github.com/allenai/tess-diffusion
공식 코드https://github.com/allenai/unified-io-2
공식 코드Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action
https://github.com/amazon-research/expunations
공식 코드https://github.com/amazon-research/multiatis
공식 코드End-to-End Slot Alignment and Recognition for Cross-Lingual NLU
https://github.com/amazon-research/stil-mbart-multiatis
공식 코드https://github.com/amazon-science/amazon-od3
공식 코드Task Oriented Dialogue as a Catalyst for Self-Supervised Automatic Speech Recognition
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