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 10011025 of 1978 papers

TitleStatusHype
Parameter-Efficient Tuning with Special Token AdaptationCode0
Event Extraction: A Survey0
Join-Chain Network: A Logical Reasoning View of the Multi-head Attention in Transformer0
Time Will Change Things: An Empirical Study on Dynamic Language Understanding in Social Media Classification0
Understanding Prior Bias and Choice Paralysis in Transformer-based Language Representation Models through Four Experimental Probes0
ParaZh-22M: A Large-Scale Chinese Parabank via Machine Translation0
Aligning Multilingual Embeddings for Improved Code-switched Natural Language UnderstandingCode0
Improving Event Temporal Relation Classification via Auxiliary Label-Aware Contrastive Learning0
Are Visual-Linguistic Models Commonsense Knowledge Bases?Code0
A Transformer-based Threshold-Free Framework for Multi-Intent NLU0
Competence-based Question Generation0
To What Extent Do Natural Language Understanding Datasets Correlate to Logical Reasoning? A Method for Diagnosing Logical Reasoning.0
Building Korean Linguistic Resource for NLU Data Generation of Banking App CS Dialog System0
Improving Commonsense Contingent Reasoning by Pseudo-data and Its Application to the Related Tasks0
Does Meta-learning Help mBERT for Few-shot Question Generation in a Cross-lingual Transfer Setting for Indic Languages?0
Evaluating Coreference Resolvers on Community-based Question Answering: From Rule-based to State of the ArtCode0
RSGT: Relational Structure Guided Temporal Relation Extraction0
EventBERT: Incorporating Event-based Semantics for Natural Language Understanding0
Machine Reading, Fast and Slow: When Do Models “Understand” Language?0
TextGraphs-16 Natural Language Premise Selection Task: Zero-Shot Premise Selection with Prompting Generative Language Models0
Dialog Acts for Task-Driven Embodied Agents0
Representing Affect Information in Word Embeddings0
Adaptive Natural Language Generation for Task-oriented Dialogue via Reinforcement LearningCode0
Can Offline Reinforcement Learning Help Natural Language Understanding?0
Machine Reading, Fast and Slow: When Do Models "Understand" Language?0
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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