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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 801–850 of 1978 papers

TitleStatusHype
GLM: General Language Model Pretraining with Autoregressive Blank Infilling—0
Can We Use Probing to Better Understand Fine-tuning and Knowledge Distillation of the BERT NLU?—0
Improving Tokenisation by Alternative Treatment of Spaces—0
Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System—0
A Survey on Neural Open Information Extraction: Current Status and Future Directions—0
Goal-Oriented Chatbot Dialog Management Bootstrapping with Transfer Learning—0
Can Offline Reinforcement Learning Help Natural Language Understanding?—0
In-Context Learning for Attention Scheme: from Single Softmax Regression to Multiple Softmax Regression via a Tensor Trick—0
GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using Large Language Models—0
GPTAraEval: A Comprehensive Evaluation of ChatGPT on Arabic NLP—0
Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking—0
Inspecting Spoken Language Understanding from Kids for Basic Math Learning at Home—0
Joint Learning of Dialog Act Segmentation and Recognition in Spoken Dialog Using Neural Networks—0
Enhancing Natural Language Understanding through Cross-Modal Interaction: Meaning Recovery from Acoustically Noisy Speech—0
Enhancing LLM with Evolutionary Fine Tuning for News Summary Generation—0
Can Machine Translation Bridge Multilingual Pretraining and Cross-lingual Transfer Learning?—0
Graph-Based Semi-Supervised Learning for Natural Language Understanding—0
Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding—0
Graph Enhanced Cross-Domain Text-to-SQL Generation—0
Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding—0
Graph Retrieval-Augmented LLM for Conversational Recommendation Systems—0
Grasping the Finer Point: A Supervised Similarity Network for Metaphor Detection—0
A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search—0
Language Conditioned Imitation Learning over Unstructured Data—0
Contextual Biasing of Language Models for Speech Recognition in Goal-Oriented Conversational Agents—0
GUIDE: Graphical User Interface Data for Execution—0
A Hybrid Task-Oriented Dialog System with Domain and Task Adaptive Pretraining—0
Hakim: Farsi Text Embedding Model—0
Hallucinations and Key Information Extraction in Medical Texts: A Comprehensive Assessment of Open-Source Large Language Models—0
Handling Noun-Noun Coreference in Tamil—0
Enhancing Image Retrieval : A Comprehensive Study on Photo Search using the CLIP Mode—0
Enhancing Human-Like Responses in Large Language Models—0
Can large language models understand uncommon meanings of common words?—0
Enhancing Essay Scoring with Adversarial Weights Perturbation and Metric-specific AttentionPooling—0
Explore the Potential of LLMs in Misinformation Detection: An Empirical Study—0
A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search—0
Hierarchical Encoders for Modeling and Interpreting Screenplays—0
Continuous Model Improvement for Language Understanding with Machine Translation—0
Improving Natural Language Understanding by Reverse Mapping Bytepair Encoding—0
HierTOD: A Task-Oriented Dialogue System Driven by Hierarchical Goals—0
Hi, how can I help you?: Automating enterprise IT support help desks—0
History-Aware Question Answering in a Blocks World Dialogue System—0
How Can Large Language Models Understand Spatial-Temporal Data?—0
How Can We Accelerate Progress Towards Human-like Linguistic Generalization?—0
Improving Romanian BioNER Using a Biologically Inspired System—0
Enhanced Recommendation Combining Collaborative Filtering and Large Language Models—0
How Does Data Corruption Affect Natural Language Understanding Models? A Study on GLUE datasets—0
Conversational AI: The Science Behind the Alexa Prize—0
Enhanced English Universal Dependencies: An Improved Representation for Natural Language Understanding Tasks—0
A Retrospective Recount of Computer Architecture Research with a Data-Driven Study of Over Four Decades of ISCA Publications—0
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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