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Natural Language Understanding

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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/IlyaGusev/summarus

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Advances of Transformer-Based Models for News Headline Generation

https://github.com/Jacobsolawetz/large-scale-oie

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LSOIE: A Large-Scale Dataset for Supervised Open Information Extraction

https://github.com/JamesHujy/ELV

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Towards Interpretable Natural Language Understanding with Explanations as Latent Variables

https://github.com/JeanKaddour/WASAM

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When Do Flat Minima Optimizers Work?

https://github.com/JohnSnowLabs/spark-nlp

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Spark NLP: Natural Language Understanding at Scale

https://github.com/Joshuaclymer/GameBench

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GameBench: Evaluating Strategic Reasoning Abilities of LLM Agents

https://github.com/KLUE-benchmark/KLUE

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KLUE: Korean Language Understanding Evaluation

https://github.com/Kc2fresh/Extracting-Counterfactual-data

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Counterfactual Detection meets Transfer Learning

https://github.com/LCS2-IIITD/MOSES

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Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal Dialogues

https://github.com/LUMIA-Group/Leveraging-Grammar-Induction

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Leveraging Grammar Induction for Language Understanding and Generation

https://github.com/LazarusNLP/NusaBERT

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NusaBERT: Teaching IndoBERT to be Multilingual and Multicultural

https://github.com/LeonCrashCode/DRS-Cross-Lingual-Training

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MACT: Model-Agnostic Cross-Lingual Training for Discourse Representation Structure Parsing

https://github.com/LilyNLP/ADFAR

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Defending Pre-trained Language Models from Adversarial Word Substitutions Without Performance Sacrifice

https://github.com/Lummetry/ProVe

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ProVe -- Self-supervised pipeline for automated product replacement and cold-starting based on neural language models

https://github.com/MC-BERT/MC-BERT

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MC-BERT: Efficient Language Pre-Training via a Meta Controller

https://github.com/ML-KULeuven/deepstochlog-lm

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Valid Text-to-SQL Generation with Unification-based DeepStochLog

https://github.com/Makbari1997/Persian-Atis

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A Persian Benchmark for Joint Intent Detection and Slot Filling

https://github.com/Makbari1997/VAE-KPCA-HDBSCAN

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A Hybrid Architecture for Out of Domain Intent Detection and Intent Discovery

https://github.com/MatNLP/KEHRL

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KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning

https://github.com/MatNLP/UniPSDA

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UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding

https://github.com/MiuLab/DuaLUG

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Dual Supervised Learning for Natural Language Understanding and Generation

https://github.com/MiuLab/E2EMathSolver

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Semantically-Aligned Equation Generation for Solving and Reasoning Math Word Problems

https://github.com/MiuLab/Lattice-SLU

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Adapting Pretrained Transformer to Lattices for Spoken Language Understanding

https://github.com/MrZhengXin/natural_language_program

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Executing Natural Language-Described Algorithms with Large Language Models: An Investigation

https://github.com/NoviScl/AdvRACE

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Benchmarking Robustness of Machine Reading Comprehension Models

https://github.com/OpenCENIA/lightweight-spanish-language-models

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ALBETO and DistilBETO: Lightweight Spanish Language Models

https://github.com/Oxford-AI-for-Society/human-learning-strategies

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Evaluating Fine-Tuning Efficiency of Human-Inspired Learning Strategies in Medical Question Answering

https://github.com/PaddlePaddle/PaddleNLP/blob/develop/paddlenlp/transformers/ernie_gram/modeling.py

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ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language Understanding

https://github.com/PaddlePaddle/PaddleNLP/tree/develop/model_zoo/ernie-3.0

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ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation

https://github.com/Pengxin-Guo/FedSA-LoRA

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Selective Aggregation for Low-Rank Adaptation in Federated Learning

https://github.com/Perevalov/intent_classifier

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Question Embeddings Based on Shannon Entropy: Solving intent classification task in goal-oriented dialogue system

https://github.com/PhakphumAdev/Thai-Winograd

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Thai Winograd Schemas: A Benchmark for Thai Commonsense Reasoning

https://github.com/Phrase-in-Context/eval

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PiC: A Phrase-in-Context Dataset for Phrase Understanding and Semantic Search

https://github.com/PolyAI-LDN/task-specific-datasets

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NLU++: A Multi-Label, Slot-Rich, Generalisable Dataset for Natural Language Understanding in Task-Oriented Dialogue

https://github.com/PragmaticsLab/CodeSwitchingAdversarial

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Call Larisa Ivanovna: Code-Switching Fools Multilingual NLU Models

https://github.com/RaghavSinghal10/fedex-lora

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FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Foundation Models

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