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 1451–1500 of 1978 papers

TitleStatusHype
Deep Natural Language Understanding of News Text—0
DEEPYANG at SemEval-2020 Task 4: Using the Hidden Layer State of BERT Model for Differentiating Common Sense—0
Delexicalized Paraphrase Generation—0
Deliberation Model for On-Device Spoken Language Understanding—0
Demonstrations of Integrity Attacks in Multi-Agent Systems—0
Local Structure Matters Most: Perturbation Study in NLU—0
Dense Feature Memory Augmented Transformers for COVID-19 Vaccination Search Classification—0
DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents—0
Design considerations for a hierarchical semantic compositional framework for medical natural language understanding—0
Designing Templates for Eliciting Commonsense Knowledge from Pretrained Sequence-to-Sequence Models—0
Designing the Next Generation of Intelligent Personal Robotic Assistants for the Physically Impaired—0
Detecting Emotion Carriers by Combining Acoustic and Lexical Representations—0
Detecting Emotion Primitives from Speech and their use in discerning Categorical Emotions—0
Developing a Natural Language Understanding Model to Characterize Cable News Bias—0
Dialog Acts for Task-Driven Embodied Agents—0
Dialog Acts for Task Driven Embodied Agents—0
Dialog-based Language Learning—0
Dialog-based Language Learning—0
Dialog Simulation with Realistic Variations for Training Goal-Oriented Conversational Systems—0
Dialog state tracking, a machine reading approach using Memory Network—0
Dialogue Act and Slot Recognition in Italian Complex Dialogues—0
Dialogue-AMR: Abstract Meaning Representation for Dialogue—0
DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade—0
Differentiable Reasoning over Long Stories -- Assessing Systematic Generalisation in Neural Models—0
Digits micro-model for accurate and secure transactions—0
Direct Network Transfer: Transfer Learning of Sentence Embeddings for Semantic Similarity—0
Discrete Reasoning Templates for Natural Language Understanding—0
Discrete Word Embedding for Logical Natural Language Understanding—0
Distill and Replay for Continual Language Learning—0
DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization—0
DKPLM: Decomposable Knowledge-enhanced Pre-trained Language Model for Natural Language Understanding—0
DLGNet-Task: An End-to-end Neural Network Framework for Modeling Multi-turn Multi-domain Task-Oriented Dialogue—0
Do as I mean, not as I say: Sequence Loss Training for Spoken Language Understanding—0
Dobby: A Conversational Service Robot Driven by GPT-4—0
Document-Level Neural Machine Translation Using BERT as Context Encoder—0
Does Knowledge Help General NLU? An Empirical Study—0
Does Meta-learning Help mBERT for Few-shot Question Generation in a Cross-lingual Transfer Setting for Indic Languages?—0
Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers—0
Domain Adaptation of Recurrent Neural Networks for Natural Language Understanding—0
Do Multi-Sense Embeddings Improve Natural Language Understanding?—0
Looking Right is Sometimes Right: Investigating the Capabilities of Decoder-only LLMs for Sequence Labeling—0
Do Not Worry if You Do Not Have Data: Building Pretrained Language Models Using Translationese—0
Don't Parse, Insert: Multilingual Semantic Parsing with Insertion Based Decoding—0
Don't Trust ChatGPT when Your Question is not in English: A Study of Multilingual Abilities and Types of LLMs—0
DoRO: Disambiguation of referred object for embodied agents—0
DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain—0
On the Importance of Word Order Information in Cross-lingual Sequence Labeling—0
DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation—0
BPDec: Unveiling the Potential of Masked Language Modeling Decoder in BERT pretraining—0
Dropping Networks for Transfer Learning—0
Show:102550
← PrevPage 30 of 40Next →
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