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 13011350 of 1978 papers

TitleStatusHype
Confusion2vec 2.0: Enriching Ambiguous Spoken Language Representations with SubwordsCode0
Commonsense Knowledge Mining from Term DefinitionsCode0
An Unsupervised Language-Independent Entity Disambiguation Method and its Evaluation on the English and Persian Languages0
Fine-tuning BERT-based models for Plant Health Bulletin ClassificationCode0
Knowledge-driven Natural Language Understanding of English Text and its Applications0
VisualMRC: Machine Reading Comprehension on Document ImagesCode1
LSOIE: A Large-Scale Dataset for Supervised Open Information ExtractionCode1
Spark NLP: Natural Language Understanding at ScaleCode2
Exploring Transitivity in Neural NLI Models through VeridicalityCode0
RomeBERT: Robust Training of Multi-Exit BERTCode1
Training Multilingual Pre-trained Language Model with Byte-level Subwords0
Multi-sense embeddings through a word sense disambiguation processCode0
A survey of joint intent detection and slot-filling models in natural language understanding0
Exploring Lexical Irregularities in Hypothesis-Only Models of Natural Language Inference0
Joint Energy-based Model Training for Better Calibrated Natural Language Understanding ModelsCode0
Understanding in Artificial Intelligence0
What Makes Good In-Context Examples for GPT-3?Code4
TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored SearchCode1
A character representation enhanced on-device Intent Classification0
CoNFET: An English Sentence to Emojis Translation AlgorithmCode0
EfficientQA : a RoBERTa Based Phrase-Indexed Question-Answering System0
I-BERT: Integer-only BERT QuantizationCode2
RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge0
BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in BanglaCode1
Discourse-level Relation Extraction via Graph Pooling0
HyperGrid Transformers: Towards A Single Model for Multiple Tasks0
Learning Chess Blindfolded0
Pre-training Text-to-Text Transformers to Write and Reason with Concepts0
K-PLUG: KNOWLEDGE-INJECTED PRE-TRAINED LANGUAGE MODEL FOR NATURAL LANGUAGE UNDERSTANDING AND GENERATIONCode1
Monte-Carlo Planning and Learning with Language Action Value Estimates0
Later Span Adaptation for Language Understanding0
Coreference Reasoning in Machine Reading ComprehensionCode0
UnNatural Language InferenceCode1
Robustness Testing of Language Understanding in Task-Oriented DialogCode1
Out of Order: How Important Is The Sequential Order of Words in a Sentence in Natural Language Understanding Tasks?0
Accurate Word Representations with Universal Visual Guidance0
Code Summarization with Structure-induced TransformerCode1
MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding PretrainingCode1
My Teacher Thinks The World Is Flat! Interpreting Automatic Essay Scoring MechanismCode0
I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling0
Towards Incorporating Entity-specific Knowledge Graph Information in Predicting Drug-Drug Interactions0
CSKG: The CommonSense Knowledge GraphCode1
Exploring Transfer Learning For End-to-End Spoken Language Understanding0
LRC-BERT: Latent-representation Contrastive Knowledge Distillation for Natural Language Understanding0
ParsiNLU: A Suite of Language Understanding Challenges for PersianCode1
Infusing Finetuning with Semantic DependenciesCode1
Towards Coinductive Models for Natural Language Understanding. Bringing together Deep Learning and Deep Semantics0
Generative Adversarial Networks for Annotated Data Augmentation in Data Sparse NLU0
Using multiple ASR hypotheses to boost i18n NLU performance0
Improvements and Extensions on Metaphor Detection0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HNNAccuracy90Unverified
2BERT-large 340MAccuracy78.3Unverified
3UDSSM-II (ensemble)Accuracy78.3Unverified
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