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 451475 of 1978 papers

TitleStatusHype
Cross-lingual Transfer or Machine Translation? On Data Augmentation for Monolingual Semantic Textual Similarity0
Automatic Discovery of Novel Intents & Domains from Text Utterances0
Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking0
CRUISE: Cold-Start New Skill Development via Iterative Utterance Generation0
CS563-QA: A Collection for Evaluating Question Answering Systems0
Creation Of A ChatBot Based On Natural Language Proccesing For Whatsapp0
CS-NLP team at SemEval-2020 Task 4: Evaluation of State-of-the-art NLP Deep Learning Architectures on Commonsense Reasoning Task0
Augmenting Named Entity Recognition with Commonsense Knowledge0
Audrey: A Personalized Open-Domain Conversational Bot0
Curriculum: A Broad-Coverage Benchmark for Linguistic Phenomena in Natural Language Understanding0
Curriculum: A Broad-Coverage Benchmark for Linguistic Phenomena in Natural Language Understanding0
Curriculum Learning for Natural Language Understanding0
An Approach for Auto Generation of Labeling Functions for Software Engineering Chatbots0
Dyna-bAbI: unlocking bAbI’s potential with dynamic synthetic benchmarking0
A Cohesive Distillation Architecture for Neural Language Models0
Data Augmentation and Learned Layer Aggregation for Improved Multilingual Language Understanding in Dialogue0
A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLU0
Data Augmentation and Learned Layer Aggregation for Improved Multilingual Language Understanding in Dialogue0
Counteracts: Testing Stereotypical Representation in Pre-trained Language Models0
Data Augmentation with Paraphrase Generation and Entity Extraction for Multimodal Dialogue System0
Cost-Based Goal Recognition Meets Deep Learning0
Data Generation Using Large Language Models for Text Classification: An Empirical Case Study0
D.Va: Validate Your Demonstration First Before You Use It0
DAWSON: Data Augmentation using Weak Supervision On Natural Language0
Corpus Generation for Voice Command in Smart Home and the Effect of Speech Synthesis on End-to-End SLU0
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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