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

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Showing 1701–1750 of 1978 papers

TitleStatusHype
TinyBERT: Distilling BERT for Natural Language UnderstandingCode0
Teaching Pretrained Models with Commonsense Reasoning: A Preliminary KB-Based Approach—0
Summary Level Training of Sentence Rewriting for Abstractive Summarization—0
CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots—0
Grounding learning of modifier dynamics: An application to color namingCode0
End-to-End Bias Mitigation by Modelling Biases in CorporaCode0
MOSS: End-to-End Dialog System Framework with Modular SupervisionCode0
Symmetric Regularization based BERT for Pair-wise Semantic ReasoningCode0
Semantics-aware BERT for Language UnderstandingCode0
TabFact: A Large-scale Dataset for Table-based Fact VerificationCode0
Effective Use of Transformer Networks for Entity TrackingCode0
Transfer Fine-Tuning: A BERT Case StudyCode0
Multi-Task Learning of System Dialogue Act Selection for Supervised Pretraining of Goal-Oriented Dialogue Policies—0
Enhancing Natural Language Understanding through Cross-Modal Interaction: Meaning Recovery from Acoustically Noisy Speech—0
What You See is What You Get: Visual Pronoun Coreference Resolution in DialoguesCode0
A Dataset of General-Purpose Rebuttal—0
An Improved Neural Baseline for Temporal Relation Extraction—0
Exploiting Open IE for Deriving Multiple Premises Entailment Corpus—0
NEZHA: Neural Contextualized Representation for Chinese Language UnderstandingCode0
Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks—0
Ensemble approach for natural language question answering problem—0
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding DatasetsCode0
WikiCREM: A Large Unsupervised Corpus for Coreference ResolutionCode0
Encoder-Agnostic Adaptation for Conditional Language GenerationCode0
A Multi-level Neural Network for Implicit Causality Detection in Web TextsCode0
Learning Conceptual-Contextual Embeddings for Medical Text—0
SenseBERT: Driving Some Sense into BERT—0
Reasoning-Driven Question-Answering for Natural Language Understanding—0
Scalable Attentive Sentence-Pair Modeling via Distilled Sentence EmbeddingCode0
StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding—0
Active Annotation: bootstrapping annotation lexicon and guidelines for supervised NLU learning—0
A Weakly-Supervised Attention-based Visualization Tool for Assessing Political Affiliation—0
Towards Universal Semantic Representation—0
Meaning Representation of Null Instantiated Semantic Roles in FrameNet—0
Augmenting Named Entity Recognition with Commonsense Knowledge—0
A Hybrid Neural Network Model for Commonsense Reasoning—0
Using Answer Set Programming for Commonsense Reasoning in the Winograd Schema Challenge—0
Structured Knowledge Discovery from Massive Text Corpus—0
Why Build an Assistant in Minecraft?Code0
A Pragmatics-Centered Evaluation Framework for Natural Language UnderstandingCode0
Task Selection Policies for Multitask Learning—0
Solving Hard Coreference Problems—0
Incrementalizing RASA's Open-Source Natural Language Understanding Pipeline—0
BAM! Born-Again Multi-Task Networks for Natural Language UnderstandingCode0
An Effective Multi-Stage Approach For Question Answering—0
Multi-lingual Intent Detection and Slot Filling in a Joint BERT-based Model—0
Multi-Task Networks With Universe, Group, and Task Feature Learning—0
CS563-QA: A Collection for Evaluating Question Answering Systems—0
DisSent: Learning Sentence Representations from Explicit Discourse RelationsCode0
Pay Attention when you Pay the Bills. A Multilingual Corpus with Dependency-based and Semantic Annotation of Collocations.—0
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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