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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1401–1450 of 1978 papers

TitleStatusHype
Comprehensive Event Representations using Event Knowledge Graphs and Natural Language Processing—0
Comprehensive Multi-Dataset Evaluation of Reading Comprehension—0
Compressing Pre-trained Transformers via Low-Bit NxM Sparsity for Natural Language Understanding—0
CONDA: a CONtextual Dual-Annotated dataset for in-game toxicity understanding and detection—0
Conscious Intelligence Requires Lifelong Autonomous Programming For General Purposes—0
Consolidating and Developing Benchmarking Datasets for the Nepali Natural Language Understanding Tasks—0
Consolidating Commonsense Knowledge—0
Contextual Biasing of Language Models for Speech Recognition in Goal-Oriented Conversational Agents—0
Continual Learning for Encoder-only Language Models via a Discrete Key-Value Bottleneck—0
Continuation KD: Improved Knowledge Distillation through the Lens of Continuation Optimization—0
Continuous Learning for Large-scale Personalized Domain Classification—0
Continuous Model Improvement for Language Understanding with Machine Translation—0
Contrastive Representation Learning for Cross-Document Coreference Resolution of Events and Entities—0
Conversational AI: The Science Behind the Alexa Prize—0
Conversational Machine Comprehension: a Literature Review—0
Conversation Routines: A Prompt Engineering Framework for Task-Oriented Dialog Systems—0
Convex Polytope Modelling for Unsupervised Derivation of Semantic Structure for Data-efficient Natural Language Understanding—0
Convo: What does conversational programming need? An exploration of machine learning interface design—0
CopyBERT: A Unified Approach to Question Generation with Self-Attention—0
COREALMLIB: An ALM Library Translated from the Component Library—0
Core Building Blocks: Next Gen Geo Spatial GPT Application—0
Corpus Generation for Voice Command in Smart Home and the Effect of Speech Synthesis on End-to-End SLU—0
Cost-Based Goal Recognition Meets Deep Learning—0
Counteracts: Testing Stereotypical Representation in Pre-trained Language Models—0
Creation Of A ChatBot Based On Natural Language Proccesing For Whatsapp—0
Cross-Language Assessment of Mathematical Capability of ChatGPT—0
Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language Understanding—0
Cross-Lingual Dialogue Dataset Creation via Outline-Based Generation—0
Cross-lingual Transfer or Machine Translation? On Data Augmentation for Monolingual Semantic Textual Similarity—0
Crowd-sourcing annotation of complex NLU tasks: A case study of argumentative content annotation—0
CRUISE: Cold-Start New Skill Development via Iterative Utterance Generation—0
CS563-QA: A Collection for Evaluating Question Answering Systems—0
CS-NLP team at SemEval-2020 Task 4: Evaluation of State-of-the-art NLP Deep Learning Architectures on Commonsense Reasoning Task—0
Curriculum: A Broad-Coverage Benchmark for Linguistic Phenomena in Natural Language Understanding—0
Curriculum: A Broad-Coverage Benchmark for Linguistic Phenomena in Natural Language Understanding—0
Curriculum Learning for Natural Language Understanding—0
DACBERT: Leveraging Dependency Agreement for Cost-Efficient Bert Pretraining—0
Data Annealing for Informal Language Understanding Tasks—0
Data Augmentation and Learned Layer Aggregation for Improved Multilingual Language Understanding in Dialogue—0
Data Augmentation and Learned Layer Aggregation for Improved Multilingual Language Understanding in Dialogue—0
Data Augmentation for Training Dialog Models Robust to Speech Recognition Errors—0
Data Augmentation with Paraphrase Generation and Entity Extraction for Multimodal Dialogue System—0
Data Generation Using Large Language Models for Text Classification: An Empirical Case Study—0
DAWSON: Data Augmentation using Weak Supervision On Natural Language—0
DBR: Divergence-Based Regularization for Debiasing Natural Language Understanding Models—0
Deepening Hidden Representations from Pre-trained Language Models—0
DeeperDive: The Unreasonable Effectiveness of Weak Supervision in Document Understanding A Case Study in Collaboration with UiPath Inc—0
Learning to Embed Categorical Features without Embedding Tables for Recommendation—0
Deep learning systems as complex networks—0
Deeply Embedded Knowledge Representation & Reasoning For Natural Language Question Answering: A Practitioner’s Perspective—0
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All datasetsPDP60STREUSLELexGLUEDialoGLUE fewshotDialoGLUE fullGLUE

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HNNAccuracy90—Unverified
2UDSSM-II (ensemble)Accuracy78.3—Unverified
3BERT-large 340MAccuracy78.3—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