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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/google-research/electra

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ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

https://github.com/google-research/google-research/tree/master/bam

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BAM! Born-Again Multi-Task Networks for Natural Language Understanding

https://github.com/google-research/google-research/tree/master/cubert

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Learning and Evaluating Contextual Embedding of Source Code

https://github.com/google-research/google-research/tree/master/smith

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Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document Matching

https://github.com/google-research/language/tree/master/language/mentionmemory

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Mention Memory: incorporating textual knowledge into Transformers through entity mention attention

https://github.com/google-research/tapas

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TableFormer: Robust Transformer Modeling for Table-Text Encoding

https://github.com/google-research/xtreme

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XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation

https://github.com/grig-guz/coherence-rst

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Neural RST-based Evaluation of Discourse Coherence

https://github.com/gucci-j/llm-cva

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An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Language Model Inference

https://github.com/guolinke/TUPE

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Rethinking Positional Encoding in Language Pre-training

https://github.com/gychant/CSKMTermDefn

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Commonsense Knowledge Mining from Term Definitions

https://github.com/halnegheimish/forcedinvalidation

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Towards preserving word order importance through Forced Invalidation

https://github.com/hancheolp/compression_for_capturing_ambiguity

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Deep Model Compression Also Helps Models Capture Ambiguity

https://github.com/harvardnlp/encoder-agnostic-adaptation

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Encoder-Agnostic Adaptation for Conditional Language Generation

https://github.com/hdzhang-code/dftplus

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Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training

https://github.com/he-y/nlp-dataset-pruning

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Swift Cross-Dataset Pruning: Enhancing Fine-Tuning Efficiency in Natural Language Understanding

https://github.com/helsinki-nlp/nlu-dataset-diagnostics

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How Does Data Corruption Affect Natural Language Understanding Models? A Study on GLUE datasets

https://github.com/helsinki-nlp/uncertainty-aware-nli

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Uncertainty-Aware Natural Language Inference with Stochastic Weight Averaging

https://github.com/henry8527/COT

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Complement Objective Training

https://github.com/hillary-ngai/doctor_xavier

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Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI Evaluation

https://github.com/hirupert/sede

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Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data

https://github.com/hitz-zentroa/xnli-eu

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XNLIeu: a dataset for cross-lingual NLI in Basque

https://github.com/hkust-knowcomp/exo-pcr

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Exophoric Pronoun Resolution in Dialogues with Topic Regularization

https://github.com/hlzhang109/icl-calibration

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A Study on the Calibration of In-context Learning

https://github.com/hongwang600/flair

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Bot or Human? Detecting ChatGPT Imposters with A Single Question

https://github.com/huawei-noah/Pretrained-Language-Model

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Training Multilingual Pre-trained Language Model with Byte-level Subwords

https://github.com/huawei-noah/Pretrained-Language-Model/tree/master/PMLM

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Probabilistically Masked Language Model Capable of Autoregressive Generation in Arbitrary Word Order

https://github.com/huawei-noah/Pretrained-Language-Model/tree/master/TinyBERT

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TinyBERT: Distilling BERT for Natural Language Understanding

https://github.com/huawei-noah/kd-nlp

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DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

https://github.com/huawei-noah/noah-research

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XeroAlign: Zero-Shot Cross-lingual Transformer Alignment

https://github.com/huawei-noah/noah-research/tree/master/NLP/cross_aligner

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CrossAligner & Co: Zero-Shot Transfer Methods for Task-Oriented Cross-lingual Natural Language Understanding

https://github.com/huawei-noah/noah-research/tree/master/xero_align

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XeroAlign: Zero-Shot Cross-lingual Transformer Alignment

https://github.com/huggingface/transformers

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Is Supervised Syntactic Parsing Beneficial for Language Understanding? An Empirical Investigation

https://github.com/huggingface/transformers/tree/master/src/transformers/models/ibert

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I-BERT: Integer-only BERT Quantization

https://github.com/hysonlab/videberta

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ViDeBERTa: A powerful pre-trained language model for Vietnamese

https://github.com/hyunsoocho77/lacl-official

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Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble

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