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 1051–1100 of 1978 papers

TitleStatusHype
Question Modifiers in Visual Question Answering—0
Quirk or Palmer: A Comparative Study of Modal Verb Frameworks with Annotated Datasets—0
R2GQA: Retriever-Reader-Generator Question Answering System to Support Students Understanding Legal Regulations in Higher Education—0
RAG-based Crowdsourcing Task Decomposition via Masked Contrastive Learning with Prompts—0
RankAug: Augmented data ranking for text classification—0
RDR: the Recap, Deliberate, and Respond Method for Enhanced Language Understanding—0
Reasoning about Quantities in Natural Language—0
Reasoning-Driven Question-Answering for Natural Language Understanding—0
MMLU-SR: A Benchmark for Stress-Testing Reasoning Capability of Large Language Models—0
Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL—0
Reasoning with Heterogeneous Knowledge for Commonsense Machine Comprehension—0
Recent Neural Methods on Slot Filling and Intent Classification for Task-Oriented Dialogue Systems: A Survey—0
RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm—0
(Re)construing Meaning in NLP—0
Recursive Template-based Frame Generation for Task Oriented Dialog—0
Refining Implicit Argument Annotation for UCCA—0
RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models—0
Relation Extraction Model Based on Semantic Enhancement Mechanism—0
Reliable Natural Language Understanding with Large Language Models and Answer Set Programming—0
Remixers: A Mixer-Transformer Architecture with Compositional Operators for Natural Language Understanding—0
Representing Affect Information in Word Embeddings—0
Representing Inferences and their Lexicalization—0
RescoreBERT: Discriminative Speech Recognition Rescoring with BERT—0
Research on Violent Text Detection System Based on BERT-fasttext Model—0
Resolution of Difficult Pronouns Using the ROSS Method—0
Rethinking Denoised Auto-Encoding in Language Pre-Training—0
Rethinking Emotion Annotations in the Era of Large Language Models—0
Rethinking End-to-End Evaluation of Decomposable Tasks: A Case Study on Spoken Language Understanding—0
Rethinking the Evaluating Framework for Natural Language Understanding in AI Systems: Language Acquisition as a Core for Future Metrics—0
Retraining DistilBERT for a Voice Shopping Assistant by Using Universal Dependencies—0
Retrieval-based Video Language Model for Efficient Long Video Question Answering—0
Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training—0
Rethinking Relation Classification with Graph Meaning Representations—0
Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Understanding—0
Revisiting the Boundary between ASR and NLU in the Age of Conversational Dialog Systems—0
Revisiting the Roles of “Text” in Text Games—0
Revisiting the Roles of "Text" in Text Games—0
Reweighted Proximal Pruning for Large-Scale Language Representation—0
RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot Learning—0
RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge—0
RikiNet: Reading Wikipedia Pages for Natural Question Answering—0
RL-based Query Rewriting with Distilled LLM for online E-Commerce Systems—0
RLSF: Reinforcement Learning via Symbolic Feedback—0
Surfer: Progressive Reasoning with World Models for Robotic Manipulation—0
Robotic-CLIP: Fine-tuning CLIP on Action Data for Robotic Applications—0
Robustly Optimized and Distilled Training for Natural Language Understanding—0
Increasing Robustness to Spurious Correlations using Forgettable Examples—0
Role of Bias Terms in Dot-Product Attention—0
RoMe: A Robust Metric for Evaluating Natural Language Generation—0
ROSS User's Guide and Reference Manual (Version 1.0)—0
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All datasetsPDP60STREUSLELexGLUEDialoGLUE fewshotDialoGLUE fullGLUE

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HNNAccuracy90—Unverified
2BERT-large 340MAccuracy78.3—Unverified
3UDSSM-II (ensemble)Accuracy78.3—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