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Natural Language Understanding

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?

Papers

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Showing 101–150 of 1978 papers

TitleStatusHype
AceGPT, Localizing Large Language Models in ArabicCode1
Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and LanguageCode1
Empathetic BERT2BERT Conversational Model: Learning Arabic Language Generation with Little DataCode1
BioBART: Pretraining and Evaluation of A Biomedical Generative Language ModelCode1
BERT for Joint Intent Classification and Slot FillingCode1
Analyzing Multi-Task Learning for Abstractive Text SummarizationCode1
Bot or Human? Detecting ChatGPT Imposters with A Single QuestionCode1
An Annotated Corpus of Reference Resolution for Interpreting Common GroundingCode1
A Dataset for Statutory Reasoning in Tax Law Entailment and Question AnsweringCode1
Break, Perturb, Build: Automatic Perturbation of Reasoning Paths Through Question DecompositionCode1
CalBERT - Code-mixed Adaptive Language representations using BERTCode1
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural NetworksCode1
Call for Papers -- The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpusCode1
Entailment as Robust Self-LearnerCode1
Efficient Long Sequence Modeling via State Space Augmented TransformerCode1
An Empirical Study of Tokenization Strategies for Various Korean NLP TasksCode1
Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM CompressionCode1
ChatLog: Carefully Evaluating the Evolution of ChatGPT Across TimeCode1
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language ModelsCode1
Can ChatGPT Replace Traditional KBQA Models? An In-depth Analysis of the Question Answering Performance of the GPT LLM FamilyCode1
Capabilities of GPT-4 on Medical Challenge ProblemsCode1
Evolving Attention with Residual ConvolutionsCode1
Cephalo: Multi-Modal Vision-Language Models for Bio-Inspired Materials Analysis and DesignCode1
Causal Distillation for Language ModelsCode1
Adversarial Regularization as Stackelberg Game: An Unrolled Optimization ApproachCode1
Causality-aware Concept Extraction based on Knowledge-guided PromptingCode1
Does It Make Sense? And Why? A Pilot Study for Sense Making and ExplanationCode1
Efficient Long-Text Understanding with Short-Text ModelsCode1
Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT PerspectiveCode1
Enhancing Language Representation with Constructional Information for Natural Language UnderstandingCode1
FaVIQ: FAct Verification from Information-seeking QuestionsCode1
AllenNLP: A Deep Semantic Natural Language Processing PlatformCode1
Dual Learning for Semi-Supervised Natural Language UnderstandingCode1
DroidCall: A Dataset for LLM-powered Android Intent InvocationCode1
Benchmarking Natural Language Understanding Services for building Conversational AgentsCode1
Dual Inference for Improving Language Understanding and GenerationCode1
Dual Supervised Learning for Natural Language Understanding and GenerationCode1
On the Importance of Effectively Adapting Pretrained Language Models for Active LearningCode1
Adapting Pretrained Transformer to Lattices for Spoken Language UnderstandingCode1
Distilling Large Vision-Language Model with Out-of-Distribution GeneralizabilityCode1
Belief Revision based Caption Re-ranker with Visual Semantic InformationCode1
Benchmarking Robustness of Machine Reading Comprehension ModelsCode1
Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy InstructionsCode1
DVMNet++: Rethinking Relative Pose Estimation for Unseen ObjectsCode1
ALBETO and DistilBETO: Lightweight Spanish Language ModelsCode1
DeLoRA: Decoupling Angles and Strength in Low-rank AdaptationCode1
Joint Prompt Optimization of Stacked LLMs using Variational InferenceCode1
A Large-scale Comprehensive Abusiveness Detection Dataset with Multifaceted Labels from RedditCode1
BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in BanglaCode1
Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature PerspectiveCode1
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All datasetsPDP60STREUSLELexGLUEDialoGLUE fewshotDialoGLUE fullGLUE

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HNNAccuracy90—Unverified
2UDSSM-II (ensemble)Accuracy78.3—Unverified
3BERT-large 340MAccuracy78.3—Unverified
4UDSSM-I (ensemble)Accuracy76.7—Unverified
5DSSMAccuracy75—Unverified
6UDSSM-IIAccuracy75—Unverified
7BERT-base 110M + MASAccuracy68.3—Unverified
8USSM + Supervised Deepnet + 3 Knowledge BasesAccuracy66.7—Unverified
9Word-level CNN+LSTM (full scoring)Accuracy60—Unverified
10Subword-level Transformer LMAccuracy58.3—Unverified
#ModelMetricClaimedVerifiedStatus
1BERT (pred POS/lemmas)Tags (Full) Acc82.5—Unverified
2BERT (none)Tags (Full) Acc82—Unverified
3BERT (gold POS/lemmas)Tags (Full) Acc81—Unverified
4GloVe (gold POS/lemmas)Tags (Full) Acc79.3—Unverified
5RoBERTa + LinearFull F1 (Preps)78.2—Unverified
6GloVe (none)Tags (Full) Acc77.5—Unverified
7GloVe (pred POS/lemmas)Tags (Full) Acc77.1—Unverified
8SVM (feature-rich, gold syntax)Role F1 (Preps)62.2—Unverified
9BiLSTM + MLP (gold syntax)Role F1 (Preps)62.2—Unverified
10SVM (feature-rich, auto syntax)Role F1 (Preps)58.2—Unverified
#ModelMetricClaimedVerifiedStatus
1CaseLaw-BERTCaseHOLD75.6—Unverified
2Legal-BERTCaseHOLD75.1—Unverified
3DeBERTaCaseHOLD72.1—Unverified
4LongformerCaseHOLD72—Unverified
5RoBERTaCaseHOLD71.7—Unverified
6BERTCaseHOLD70.7—Unverified
7BigBirdCaseHOLD70.4—Unverified
#ModelMetricClaimedVerifiedStatus
1ConvBERT-DGAverage74.6—Unverified
2ConvBERT-DG + Pre + MultiAverage73.8—Unverified
3mslmAverage73.49—Unverified
4ConvBERT + Pre + MultiAverage68.22—Unverified
5BanLanGenAverage39.16—Unverified
#ModelMetricClaimedVerifiedStatus
1ConvBERT + Pre + MultiAverage86.89—Unverified
2mslmAverage85.83—Unverified
3ConvBERT-DG + Pre + MultiAverage85.34—Unverified
#ModelMetricClaimedVerifiedStatus
1MT-DNN-SMARTAverage89.9—Unverified
2BERT-LARGEAverage82.1—Unverified