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

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Showing 1101–1150 of 1978 papers

TitleStatusHype
Training Efficient CNNS: Tweaking the Nuts and Bolts of Neural Networks for Lighter, Faster and Robust ModelsCode0
Contrastive Representation Learning for Cross-Document Coreference Resolution of Events and Entities—0
Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Understanding—0
Calibration of Natural Language Understanding Models with Venn--ABERS PredictorsCode0
Down and Across: Introducing Crossword-Solving as a New NLP BenchmarkCode0
Are Prompt-based Models Clueless?—0
Enhancing Slot Tagging with Intent Features for Task Oriented Natural Language Understanding using BERT—0
PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot LearnersCode0
A Fast Attention Network for Joint Intent Detection and Slot Filling on Edge Devices—0
PathologyBERT -- Pre-trained Vs. A New Transformer Language Model for Pathology Domain—0
Towards Answering Open-ended Ethical Quandary Questions—0
DTW at Qur'an QA 2022: Utilising Transfer Learning with Transformers for Question Answering in a Low-resource DomainCode0
Task-specific Compression for Multi-task Language Models using Attribution-based Pruning—0
Data Augmentation with Paraphrase Generation and Entity Extraction for Multimodal Dialogue System—0
Explain and Conquer: Personalised Text-based Reviews to Achieve Transparency—0
From text to talk: Harnessing conversational corpora for humane and diversity-aware language technology—0
Data Augmentation and Learned Layer Aggregation for Improved Multilingual Language Understanding in Dialogue—0
Sketching a Linguistically-Driven Reasoning Dialog Model for Social Talk—0
Fully-Semantic Parsing and Generation: the BabelNet Meaning RepresentationCode0
Enhancing Cross-lingual Natural Language Inference by Prompt-learning from Cross-lingual TemplatesCode0
Knowledge Distillation Meets Few-Shot Learning: An Approach for Few-Shot Intent Classification Within and Across Domains—0
Improving Romanian BioNER Using a Biologically Inspired System—0
What Makes Good In-Context Examples for GPT-3?—0
EICO: Improving Few-Shot Text Classification via Explicit and Implicit Consistency Regularization—0
Label Anchored Contrastive Learning for Language Understanding—0
Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking—0
XDBERT: Distilling Visual Information to BERT from Cross-Modal Systems to Improve Language Understanding—0
XLMRQA: Open-Domain Question Answering on Vietnamese Wikipedia-based Textual Knowledge Source—0
Curriculum: A Broad-Coverage Benchmark for Linguistic Phenomena in Natural Language Understanding—0
Fast Few-shot Debugging for NLU Test SuitesCode0
NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks—0
Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI EvaluationCode0
IDPG: An Instance-Dependent Prompt Generation Method—0
Improving Tokenisation by Alternative Treatment of SpacesCode0
Enabling All In-Edge Deep Learning: A Literature Review—0
VALUE: Understanding Dialect Disparity in NLUCode0
Improved and Efficient Conversational Slot Labeling through Question Answering—0
Design considerations for a hierarchical semantic compositional framework for medical natural language understanding—0
Evolving Neural Selection with Adaptive Regularization—0
Deliberation Model for On-Device Spoken Language Understanding—0
Multi-task RNN-T with Semantic Decoder for Streamable Spoken Language Understanding—0
Canary Extraction in Natural Language Understanding Models—0
VLSP 2021 - ViMRC Challenge: Vietnamese Machine Reading Comprehension—0
Building Robust Spoken Language Understanding by Cross Attention between Phoneme Sequence and ASR Hypothesis—0
AraBART: a Pretrained Arabic Sequence-to-Sequence Model for Abstractive Summarization—0
Differentiable Reasoning over Long Stories -- Assessing Systematic Generalisation in Neural Models—0
A Neural-Symbolic Approach to Natural Language UnderstandingCode0
CrossAligner & Co: Zero-Shot Transfer Methods for Task-Oriented Cross-lingual Natural Language UnderstandingCode0
An Analysis of Negation in Natural Language Understanding CorporaCode0
On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency—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