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 451–500 of 1978 papers

TitleStatusHype
End-to-End Evaluation of a Spoken Dialogue System for Learning Basic Mathematics—0
Automatic Discovery of Novel Intents & Domains from Text Utterances—0
Enhancing LLM with Evolutionary Fine Tuning for News Summary Generation—0
CRUISE: Cold-Start New Skill Development via Iterative Utterance Generation—0
CS563-QA: A Collection for Evaluating Question Answering Systems—0
Cross-Lingual Dialogue Dataset Creation via Outline-Based Generation—0
CS-NLP team at SemEval-2020 Task 4: Evaluation of State-of-the-art NLP Deep Learning Architectures on Commonsense Reasoning Task—0
Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language Understanding—0
EvoText: Enhancing Natural Language Generation Models via Self-Escalation Learning for Up-to-Date Knowledge and Improved Performance—0
Curriculum: A Broad-Coverage Benchmark for Linguistic Phenomena in Natural Language Understanding—0
Curriculum: A Broad-Coverage Benchmark for Linguistic Phenomena in Natural Language Understanding—0
Curriculum Learning for Natural Language Understanding—0
Cross-Language Assessment of Mathematical Capability of ChatGPT—0
ADEPT: An Adjective-Dependent Plausibility Task—0
Efficient Semi-supervised Consistency Training for Natural Language Understanding—0
Creation Of A ChatBot Based On Natural Language Proccesing For Whatsapp—0
Augmenting Named Entity Recognition with Commonsense Knowledge—0
Data Augmentation and Learned Layer Aggregation for Improved Multilingual Language Understanding in Dialogue—0
Audrey: A Personalized Open-Domain Conversational Bot—0
Data Augmentation with Paraphrase Generation and Entity Extraction for Multimodal Dialogue System—0
An Approach for Auto Generation of Labeling Functions for Software Engineering Chatbots—0
Efficient Semi-Supervised Learning for Natural Language Understanding by Optimizing Diversity—0
A Cohesive Distillation Architecture for Neural Language Models—0
DAWSON: Data Augmentation using Weak Supervision On Natural Language—0
DBR: Divergence-Based Regularization for Debiasing Natural Language Understanding Models—0
A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLU—0
Counteracts: Testing Stereotypical Representation in Pre-trained Language Models—0
Cost-Based Goal Recognition Meets Deep Learning—0
Corpus Generation for Voice Command in Smart Home and the Effect of Speech Synthesis on End-to-End SLU—0
Task-specific Compression for Multi-task Language Models using Attribution-based Pruning—0
A Deep Learning System for Domain-specific Speech Recognition—0
Core Building Blocks: Next Gen Geo Spatial GPT Application—0
COREALMLIB: An ALM Library Translated from the Component Library—0
Attentive Task-Agnostic Meta-Learning for Few-Shot Text Classification—0
Efficient Learning of Multiple NLP Tasks via Collective Weight Factorization on BERT—0
Deepening Hidden Representations from Pre-trained Language Models—0
DeeperDive: The Unreasonable Effectiveness of Weak Supervision in Document Understanding A Case Study in Collaboration with UiPath Inc—0
Learning to Embed Categorical Features without Embedding Tables for Recommendation—0
EfficientQA : a RoBERTa Based Phrase-Indexed Question-Answering System—0
Deep learning systems as complex networks—0
Deeply Embedded Knowledge Representation & Reasoning For Natural Language Question Answering: A Practitioner’s Perspective—0
Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE—0
Deep Natural Language Understanding of News Text—0
Bailicai: A Domain-Optimized Retrieval-Augmented Generation Framework for Medical Applications—0
DEEPYANG at SemEval-2020 Task 4: Using the Hidden Layer State of BERT Model for Differentiating Common Sense—0
A New Sentence Ordering Method Using BERT Pretrained Model—0
EICO: Improving Few-Shot Text Classification via Explicit and Implicit Consistency Regularization—0
Deliberation Model for On-Device Spoken Language Understanding—0
BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla—0
CopyBERT: A Unified Approach to Question Generation with Self-Attention—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