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 151–200 of 1978 papers

TitleStatusHype
Bridging Text and Vision: A Multi-View Text-Vision Registration Approach for Cross-Modal Place RecognitionCode1
EPIC30M: An Epidemics Corpus Of Over 30 Million Relevant TweetsCode1
EPIE Dataset: A Corpus For Possible Idiomatic ExpressionsCode1
Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4Code1
Endowing Language Models with Multimodal Knowledge Graph RepresentationsCode1
BLUEX: A benchmark based on Brazilian Leading Universities Entrance eXamsCode1
End-to-End Slot Alignment and Recognition for Cross-Lingual NLUCode1
Call for Papers -- The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpusCode1
Braid: Weaving Symbolic and Neural Knowledge into Coherent Logical ExplanationsCode1
Empowering News Recommendation with Pre-trained Language ModelsCode1
Beyond Autoregression: Fast LLMs via Self-Distillation Through TimeCode1
Beyond Silent Letters: Amplifying LLMs in Emotion Recognition with Vocal NuancesCode1
AdaMix: Mixture-of-Adaptations for Parameter-efficient Model TuningCode1
BiPFT: Binary Pre-trained Foundation Transformer with Low-rank Estimation of Binarization Residual PolynomialsCode1
BioBART: Pretraining and Evaluation of A Biomedical Generative Language ModelCode1
Bot or Human? Detecting ChatGPT Imposters with A Single QuestionCode1
Entailment as Robust Self-LearnerCode1
Break, Perturb, Build: Automatic Perturbation of Reasoning Paths Through Question DecompositionCode1
A Sequence-to-Sequence Approach to Dialogue State TrackingCode1
A Large-scale Comprehensive Abusiveness Detection Dataset with Multifaceted Labels from RedditCode1
A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and GenerationCode1
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural NetworksCode1
ALBETO and DistilBETO: Lightweight Spanish Language ModelsCode1
Enhancing Language Representation with Constructional Information for Natural Language UnderstandingCode1
Can ChatGPT Replace Traditional KBQA Models? An In-depth Analysis of the Question Answering Performance of the GPT LLM FamilyCode1
Generate to Understand for RepresentationCode1
Causal Distillation for Language ModelsCode1
Event Time Extraction and Propagation via Graph Attention NetworksCode1
Adapting Pretrained Transformer to Lattices for Spoken Language UnderstandingCode1
From Black Boxes to Conversations: Incorporating XAI in a Conversational AgentCode1
Capabilities of GPT-4 on Medical Challenge ProblemsCode1
Exploring the State of the Art in Legal QA SystemsCode1
BERT for Joint Intent Classification and Slot FillingCode1
FaVIQ: FAct Verification from Information-seeking QuestionsCode1
Cephalo: Multi-Modal Vision-Language Models for Bio-Inspired Materials Analysis and DesignCode1
Causality-aware Concept Extraction based on Knowledge-guided PromptingCode1
AllenNLP: A Deep Semantic Natural Language Processing PlatformCode1
ChatLog: Carefully Evaluating the Evolution of ChatGPT Across TimeCode1
Efficient Long Sequence Modeling via State Space Augmented TransformerCode1
A Surprisingly Robust Trick for Winograd Schema ChallengeCode1
Efficient Long-Text Understanding with Short-Text ModelsCode1
Benchmarking Robustness of Machine Reading Comprehension ModelsCode1
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language UnderstandingCode1
Active Learning by Acquiring Contrastive ExamplesCode1
A Dataset for Statutory Reasoning in Tax Law Entailment and Question AnsweringCode1
A Survey of RWKVCode1
Generative Biomedical Entity Linking via Knowledge Base-Guided Pre-training and Synonyms-Aware Fine-tuningCode1
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from TextCode1
Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and LanguageCode1
On the Importance of Effectively Adapting Pretrained Language Models for Active LearningCode1
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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