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/pnborchert/flare
공식 코드Language Fusion for Parameter-Efficient Cross-lingual Transfer
https://github.com/poethan/swed_covid_tm
공식 코드https://github.com/portuguese-benchmark-datasets/bluex
공식 코드BLUEX: A benchmark based on Brazilian Leading Universities Entrance eXams
https://github.com/ppartha03/Dialogue-Probe-Tasks-Public
공식 코드https://github.com/pprp/acbench
공식 코드Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression
https://github.com/ppujari/xcs224u
공식 코드https://github.com/ppxscal/nlp_project
공식 코드Continuous Prompt Generation from Linear Combination of Discrete Prompt Embeddings
https://github.com/prakharguptaz/Instructdial
공식 코드InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning
https://github.com/prateeksaxena2809/EPIE_Corpus
공식 코드https://github.com/princeton-nlp/c-sts
공식 코드https://github.com/puar-playground/TextLap
공식 코드TextLap: Customizing Language Models for Text-to-Layout Planning
https://github.com/pumpkin-co/mtl-lora
공식 코드https://github.com/pysentimiento/robertuito
공식 코드RoBERTuito: a pre-trained language model for social media text in Spanish
https://github.com/pytorch/fairseq/tree/main/examples/data2vec
공식 코드data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
https://github.com/qingruzhang/platon
공식 코드PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance
https://github.com/qiushisun/bbt-rgb
공식 코드https://github.com/rabbitjy/fuzztuning
공식 코드https://github.com/rabeehk/robust-nli
공식 코드https://github.com/rabeehk/robust-nli-fixed
공식 코드https://github.com/rafaelamartelo/floodgpt-4_prototype
공식 코드https://github.com/rafiepour/CTran
공식 코드CTRAN: CNN-Transformer-based Network for Natural Language Understanding
https://github.com/rahular/joint-coref-srl
공식 코드Joint Semantic Analysis with Document-Level Cross-Task Coherence Rewards
https://github.com/rajammanabrolu/KG-A2C
공식 코드Graph Constrained Reinforcement Learning for Natural Language Action Spaces
https://github.com/rakeshchada/corefqa
공식 코드Gendered Pronoun Resolution using BERT and an extractive question answering formulation
https://github.com/raphael-sch/velma
공식 코드VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View
https://github.com/rashad101/rome
공식 코드RoMe: A Robust Metric for Evaluating Natural Language Generation
https://github.com/reddragon/efficient-dl-survey-paper
공식 코드Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better
https://github.com/rhythmcao/slu-dual-learning
공식 코드Dual Learning for Semi-Supervised Natural Language Understanding
https://github.com/rifkiaputri/idk-mrc
공식 코드IDK-MRC: Unanswerable Questions for Indonesian Machine Reading Comprehension
https://github.com/romebert/RomeBERT
공식 코드https://github.com/rosa-paper/rosa
공식 코드https://github.com/rqwang/floodgpt_prototype
공식 코드https://github.com/rujunhan/EMNLP-2020
공식 코드Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation Extraction
https://github.com/ryanliut/wsd-ue
공식 코드Ambiguity Meets Uncertainty: Investigating Uncertainty Estimation for Word Sense Disambiguation
https://github.com/sabeesh90/MosaicML_Augmentations_Efficient_Deep_Learning_MLDS_2022
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.