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

Showing 10511100 of 1978 papers

TitleStatusHype
FeelsGoodMan: Inferring Semantics of Twitch Neologisms0
The Dark Side of the Language: Pre-trained Transformers in the DarkNet0
Probing Position-Aware Attention Mechanism in Long Document Understanding0
Stable Natural Language Understanding via Invariant Causal Constraint0
FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding0
Local Structure Matters Most: Perturbation Study in NLU0
KALA: Knowledge-Augmented Language Model Adaptation0
RoMe: A Robust Metric for Evaluating Natural Language Generation0
Things not Written in Text: Exploring Spatial Commonsense from Visual Signals0
On Transferability of Prompt Tuning for Natural Language ProcessingCode1
An Enactivist account of Mind Reading in Natural Language Understanding0
Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language Understanding0
Ontology-based question answering over corporate structured data0
TaCL: Improving BERT Pre-training with Token-aware Contrastive LearningCode1
CLUES: Few-Shot Learning Evaluation in Natural Language UnderstandingCode1
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language ModelsCode1
A Case Study and Qualitative Analysis of Simple Cross-Lingual Opinion MiningCode0
Adapting to the Long Tail: A Meta-Analysis of Transfer Learning Research for Language Understanding TasksCode0
FrameNet-like Annotation of Olfactory Information in Texts0
A Brief Survey and Comparative Study of Recent Development of Pronoun Coreference Resolution in English0
Semi-supervised Intent Discovery with Contrastive Learning0
Collaborative Data Relabeling for Robust and Diverse Voice Apps Recommendation in Intelligent Personal Assistants0
Self-training with Few-shot Rationalization0
An Investigation into the Contribution of Locally Aggregated Descriptors to Figurative Language IdentificationCode0
Rethinking Denoised Auto-Encoding in Language Pre-Training0
Learning Numeracy: A Simple Yet Effective Number Embedding Approach Using Knowledge GraphCode0
How to Select One Among All ? An Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding0
Named Entity Recognition in the Romanian Legal DomainCode0
A Large-scale Comprehensive Abusiveness Detection Dataset with Multifaceted Labels from RedditCode1
On the Role of Corpus Ordering in Language Modeling0
NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM0
Ask me in your own words: paraphrasing for multitask question answeringCode0
Improving Non-autoregressive Generation with Mixup TrainingCode0
Discontinuous Grammar as a Foreign LanguageCode0
Two-stage Voice Application Recommender System for Unhandled Utterances in Intelligent Personal Assistant0
Newsalyze: Effective Communication of Person-Targeting Biases in News Articles0
How Does Data Corruption Affect Natural Language Understanding Models? A Study on GLUE datasets0
Collaborative Multi-Task Representation for Natural Language Understanding0
TableFormer: Robust Transformer Modeling for Table-Text Encoding0
Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding0
Pro-KD: Progressive Distillation by Following the Footsteps of the Teacher0
NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment0
Mention Memory: incorporating textual knowledge into Transformers through entity mention attentionCode0
AutoNLU: Detecting, root-causing, and fixing NLU model errors0
Evaluating User Perception of Speech Recognition System Quality with Semantic Distance Metric0
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design0
LIDSNet: A Lightweight on-device Intent Detection model using Deep Siamese Network0
KNOT: Knowledge Distillation using Optimal Transport for Solving NLP TasksCode1
NaRLE: Natural Language Models using Reinforcement Learning with Emotion Feedback0
LexGLUE: A Benchmark Dataset for Legal Language Understanding in EnglishCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HNNAccuracy90Unverified
2UDSSM-II (ensemble)Accuracy78.3Unverified
3BERT-large 340MAccuracy78.3Unverified
4UDSSM-I (ensemble)Accuracy76.7Unverified
5DSSMAccuracy75Unverified
6UDSSM-IIAccuracy75Unverified
7BERT-base 110M + MASAccuracy68.3Unverified
8USSM + Supervised Deepnet + 3 Knowledge BasesAccuracy66.7Unverified
9Word-level CNN+LSTM (full scoring)Accuracy60Unverified
10Subword-level Transformer LMAccuracy58.3Unverified
#ModelMetricClaimedVerifiedStatus
1BERT (pred POS/lemmas)Tags (Full) Acc82.5Unverified
2BERT (none)Tags (Full) Acc82Unverified
3BERT (gold POS/lemmas)Tags (Full) Acc81Unverified
4GloVe (gold POS/lemmas)Tags (Full) Acc79.3Unverified
5RoBERTa + LinearFull F1 (Preps)78.2Unverified
6GloVe (none)Tags (Full) Acc77.5Unverified
7GloVe (pred POS/lemmas)Tags (Full) Acc77.1Unverified
8SVM (feature-rich, gold syntax)Role F1 (Preps)62.2Unverified
9BiLSTM + MLP (gold syntax)Role F1 (Preps)62.2Unverified
10SVM (feature-rich, auto syntax)Role F1 (Preps)58.2Unverified
#ModelMetricClaimedVerifiedStatus
1CaseLaw-BERTCaseHOLD75.6Unverified
2Legal-BERTCaseHOLD75.1Unverified
3DeBERTaCaseHOLD72.1Unverified
4LongformerCaseHOLD72Unverified
5RoBERTaCaseHOLD71.7Unverified
6BERTCaseHOLD70.7Unverified
7BigBirdCaseHOLD70.4Unverified
#ModelMetricClaimedVerifiedStatus
1ConvBERT-DGAverage74.6Unverified
2ConvBERT-DG + Pre + MultiAverage73.8Unverified
3mslmAverage73.49Unverified
4ConvBERT + Pre + MultiAverage68.22Unverified
5BanLanGenAverage39.16Unverified
#ModelMetricClaimedVerifiedStatus
1ConvBERT + Pre + MultiAverage86.89Unverified
2mslmAverage85.83Unverified
3ConvBERT-DG + Pre + MultiAverage85.34Unverified
#ModelMetricClaimedVerifiedStatus
1MT-DNN-SMARTAverage89.9Unverified
2BERT-LARGEAverage82.1Unverified