SOTAVerified

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

Showing 201250 of 1978 papers

TitleStatusHype
Inducer-tuning: Connecting Prefix-tuning and Adapter-tuningCode1
Evaluating Scoped Meaning RepresentationsCode1
Break, Perturb, Build: Automatic Perturbation of Reasoning Paths Through Question DecompositionCode1
Intent Detection and Slot Filling for VietnameseCode1
ATCO2 corpus: A Large-Scale Dataset for Research on Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control CommunicationsCode1
Convolution-enhanced Evolving Attention NetworksCode1
Active Learning by Acquiring Contrastive ExamplesCode1
CalBERT - Code-mixed Adaptive Language representations using BERTCode1
CREAK: A Dataset for Commonsense Reasoning over Entity KnowledgeCode1
Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language ModelsCode1
Cross-Lingual Semantic Role Labeling with High-Quality Translated Training CorpusCode1
Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4Code1
Attention Is (not) All You Need for Commonsense ReasoningCode1
Analyzing Multi-Task Learning for Abstractive Text SummarizationCode1
Bot or Human? Detecting ChatGPT Imposters with A Single QuestionCode1
CTRAN: CNN-Transformer-based Network for Natural Language UnderstandingCode1
An Annotated Corpus of Reference Resolution for Interpreting Common GroundingCode1
C-STS: Conditional Semantic Textual SimilarityCode1
Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESuppositionCode1
BLUEX: A benchmark based on Brazilian Leading Universities Entrance eXamsCode1
KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language UnderstandingCode1
K-PLUG: KNOWLEDGE-INJECTED PRE-TRAINED LANGUAGE MODEL FOR NATURAL LANGUAGE UNDERSTANDING AND GENERATIONCode1
Braid: Weaving Symbolic and Neural Knowledge into Coherent Logical ExplanationsCode1
Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language ModelsCode1
Can ChatGPT Replace Traditional KBQA Models? An In-depth Analysis of the Question Answering Performance of the GPT LLM FamilyCode1
Automatic Disfluency Detection from Untranscribed SpeechCode1
Joint Prompt Optimization of Stacked LLMs using Variational InferenceCode1
Large Language Models as Corporate LobbyistsCode1
Enhancing Language Representation with Constructional Information for Natural Language UnderstandingCode1
Lattice-BERT: Leveraging Multi-Granularity Representations in Chinese Pre-trained Language ModelsCode1
A Hybrid Architecture for Out of Domain Intent Detection and Intent DiscoveryCode1
Entailment as Robust Self-LearnerCode1
Beyond Autoregression: Fast LLMs via Self-Distillation Through TimeCode1
BioBART: Pretraining and Evaluation of A Biomedical Generative Language ModelCode1
LexGLUE: A Benchmark Dataset for Legal Language Understanding in EnglishCode1
AutoTrans: Automating Transformer Design via Reinforced Architecture SearchCode1
End-to-End Slot Alignment and Recognition for Cross-Lingual NLUCode1
A Win-win Deal: Towards Sparse and Robust Pre-trained Language ModelsCode1
EPIC30M: An Epidemics Corpus Of Over 30 Million Relevant TweetsCode1
BiPFT: Binary Pre-trained Foundation Transformer with Low-rank Estimation of Binarization Residual PolynomialsCode1
Back to the Future: Bidirectional Information Decoupling Network for Multi-turn Dialogue ModelingCode1
Call for Papers -- The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpusCode1
ARBML: Democritizing Arabic Natural Language Processing ToolsCode1
Endowing Language Models with Multimodal Knowledge Graph RepresentationsCode1
EPIE Dataset: A Corpus For Possible Idiomatic ExpressionsCode1
Distilling Large Vision-Language Model with Out-of-Distribution GeneralizabilityCode1
Event Time Extraction and Propagation via Graph Attention NetworksCode1
BERT for Joint Intent Classification and Slot FillingCode1
Empathetic BERT2BERT Conversational Model: Learning Arabic Language Generation with Little DataCode1
A Comprehensive Survey on Graph Neural NetworksCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HNNAccuracy90Unverified
2UDSSM-II (ensemble)Accuracy78.3Unverified
3BERT-large 340MAccuracy78.3Unverified
4UDSSM-I (ensemble)Accuracy76.7Unverified
5DSSMAccuracy75Unverified
6UDSSM-IIAccuracy75Unverified
7BERT-base 110M + MASAccuracy68.3Unverified
8USSM + Supervised Deepnet + 3 Knowledge BasesAccuracy66.7Unverified
9Word-level CNN+LSTM (full scoring)Accuracy60Unverified
10Subword-level Transformer LMAccuracy58.3Unverified
#ModelMetricClaimedVerifiedStatus
1BERT (pred POS/lemmas)Tags (Full) Acc82.5Unverified
2BERT (none)Tags (Full) Acc82Unverified
3BERT (gold POS/lemmas)Tags (Full) Acc81Unverified
4GloVe (gold POS/lemmas)Tags (Full) Acc79.3Unverified
5RoBERTa + LinearFull F1 (Preps)78.2Unverified
6GloVe (none)Tags (Full) Acc77.5Unverified
7GloVe (pred POS/lemmas)Tags (Full) Acc77.1Unverified
8SVM (feature-rich, gold syntax)Role F1 (Preps)62.2Unverified
9BiLSTM + MLP (gold syntax)Role F1 (Preps)62.2Unverified
10SVM (feature-rich, auto syntax)Role F1 (Preps)58.2Unverified
#ModelMetricClaimedVerifiedStatus
1CaseLaw-BERTCaseHOLD75.6Unverified
2Legal-BERTCaseHOLD75.1Unverified
3DeBERTaCaseHOLD72.1Unverified
4LongformerCaseHOLD72Unverified
5RoBERTaCaseHOLD71.7Unverified
6BERTCaseHOLD70.7Unverified
7BigBirdCaseHOLD70.4Unverified
#ModelMetricClaimedVerifiedStatus
1ConvBERT-DGAverage74.6Unverified
2ConvBERT-DG + Pre + MultiAverage73.8Unverified
3mslmAverage73.49Unverified
4ConvBERT + Pre + MultiAverage68.22Unverified
5BanLanGenAverage39.16Unverified
#ModelMetricClaimedVerifiedStatus
1ConvBERT + Pre + MultiAverage86.89Unverified
2mslmAverage85.83Unverified
3ConvBERT-DG + Pre + MultiAverage85.34Unverified
#ModelMetricClaimedVerifiedStatus
1MT-DNN-SMARTAverage89.9Unverified
2BERT-LARGEAverage82.1Unverified