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 701–750 of 1978 papers

TitleStatusHype
Topic Modelling of Swedish Newspaper Articles about Coronavirus: a Case Study using Latent Dirichlet Allocation MethodCode0
Large Language Models as Corporate LobbyistsCode1
Leveraging Semantic Representations Combined with Contextual Word Representations for Recognizing Textual Entailment in Vietnamese—0
Large Language Models Encode Clinical KnowledgeCode1
SERENGETI: Massively Multilingual Language Models for AfricaCode0
Spoken Language Understanding for Conversational AI: Recent Advances and Future Direction—0
Measure More, Question More: Experimental Studies on Transformer-based Language Models and Complement Coercion—0
PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in EnglishCode1
Quirk or Palmer: A Comparative Study of Modal Verb Frameworks with Annotated Datasets—0
MULTI3NLU++: A Multilingual, Multi-Intent, Multi-Domain Dataset for Natural Language Understanding in Task-Oriented Dialogue—0
On-the-fly Denoising for Data Augmentation in Natural Language UnderstandingCode0
NusaCrowd: Open Source Initiative for Indonesian NLP ResourcesCode2
Dense Feature Memory Augmented Transformers for COVID-19 Vaccination Search Classification—0
Decoder Tuning: Efficient Language Understanding as DecodingCode4
Convolution-enhanced Evolving Attention NetworksCode1
The KITMUS Test: Evaluating Knowledge Integration from Multiple Sources in Natural Language Understanding SystemsCode0
Efficient Long Sequence Modeling via State Space Augmented TransformerCode1
CLIPPO: Image-and-Language Understanding from Pixels Only—0
Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and LanguageCode1
The Massively Multilingual Natural Language Understanding 2022 (MMNLU-22) Workshop and Competition—0
Continuation KD: Improved Knowledge Distillation through the Lens of Continuation Optimization—0
Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning—0
RPN: A Word Vector Level Data Augmentation Algorithm in Deep Learning for Language UnderstandingCode0
Feature-Level Debiased Natural Language UnderstandingCode0
Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic LanguagesCode1
Modern French Poetry Generation with RoBERTa and GPT-2—0
NarraSum: A Large-Scale Dataset for Abstractive Narrative SummarizationCode0
Fuse and Adapt: Investigating the Use of Pre-Trained Self-Supervising Learning Models in Limited Data NLU problems—0
X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection—0
Zero-Shot Learning for Joint Intent and Slot Labeling—0
GPT-Neo for commonsense reasoning -- a theoretical and practical lensCode0
ESIE-BERT: Enriching Sub-words Information Explicitly with BERT for Joint Intent Classification and SlotFilling—0
Bidirectional Representations for Low Resource Spoken Language Understanding—0
Agent-Specific Deontic Modality Detection in Legal Language—0
Embracing Ambiguity: Improving Similarity-oriented Tasks with Contextual Synonym Knowledge—0
Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal DialoguesCode0
Where did you tweet from? Inferring the origin locations of tweets based on contextual information—0
Breakpoint Transformers for Modeling and Tracking Intermediate BeliefsCode0
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization PerspectiveCode1
A Survey of Knowledge Enhanced Pre-trained Language Models—0
Local Structure Matters Most in Most Languages—0
ATCO2 corpus: A Large-Scale Dataset for Research on Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control CommunicationsCode1
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries?—0
End-to-End Evaluation of a Spoken Dialogue System for Learning Basic Mathematics—0
Multi-level Distillation of Semantic Knowledge for Pre-training Multilingual Language Model—0
Web-API-Based Chatbot Generation with Analysis and Expansion for Training Sentences—0
CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about NegationCode1
Parameter-Efficient Tuning Makes a Good Classification HeadCode1
Debiasing Masks: A New Framework for Shortcut Mitigation in NLUCode0
Leveraging Affirmative Interpretations from Negation Improves Natural Language UnderstandingCode0
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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