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 1051–1100 of 1978 papers

TitleStatusHype
Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data—0
Tidying Up the Conversational Recommender Systems' Biases—0
Latency Adjustable Transformer Encoder for Language Understanding—0
Time Will Change Things: An Empirical Study on Dynamic Language Understanding in Social Media Classification—0
TLEX: An Efficient Method for Extracting Exact Timelines from TimeML Temporal Graphs—0
TookaBERT: A Step Forward for Persian NLU—0
Towards an Automated SOAP Note: Classifying Utterances from Medical Conversations—0
Towards ASR Robust Spoken Language Understanding Through In-Context Learning With Word Confusion Networks—0
Towards a Unified Foundation Model: Jointly Pre-Training Transformers on Unpaired Images and Text—0
Towards Automatic Satellite Images Captions Generation Using Large Language Models—0
Towards Building a Spoken Dialogue System for Argument Exploration—0
Towards Coinductive Models for Natural Language Understanding. Bringing together Deep Learning and Deep Semantics—0
Towards Compositional Distributional Discourse Analysis—0
Towards Explainable Dialogue System: Explaining Intent Classification using Saliency Techniques—0
Towards Generalist Robot Learning from Internet Video: A Survey—0
Towards Improved Model Design for Authorship Identification: A Survey on Writing Style Understanding—0
Towards Incorporating Entity-specific Knowledge Graph Information in Predicting Drug-Drug Interactions—0
Towards Knowledge-Grounded Natural Language Understanding and Generation—0
Towards Logically Consistent Language Models via Probabilistic Reasoning—0
Towards More Robust Natural Language Understanding—0
Learning Discriminative Representations and Decision Boundaries for Open Intent Detection—0
Towards Pervasive Distributed Agentic Generative AI -- A State of The Art—0
Towards Robust Legal Reasoning: Harnessing Logical LLMs in Law—0
Towards Universal Semantic Representation—0
Towards Versatile and Efficient Visual Knowledge Integration into Pre-trained Language Models with Cross-Modal Adapters—0
Toward the Evaluation of Large Language Models Considering Score Variance across Instruction Templates—0
To What Extent Do Natural Language Understanding Datasets Correlate to Logical Reasoning? A Method for Diagnosing Logical Reasoning.—0
TRACE: TRansformer-based Attribution using Contrastive Embeddings in LLMs—0
Training Dynamic based data filtering may not work for NLP datasets—0
Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU—0
Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU—0
Training Multilingual Pre-trained Language Model with Byte-level Subwords—0
Training Shallow Phrase Structure Parsers From Semantic Frames and Simple NLG—0
Transcending Controlled Environments Assessing the Transferability of ASRRobust NLU Models to Real-World Applications—0
Transferring BERT Capabilities from High-Resource to Low-Resource Languages Using Vocabulary Matching—0
Transformer based Urdu Handwritten Text Optical Character Reader—0
Transformers meet Neural Algorithmic Reasoners—0
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering—0
Translating Expert Intuition into Quantifiable Features: Encode Investigator Domain Knowledge via LLM for Enhanced Predictive Analytics—0
Translating Phrases in Neural Machine Translation—0
TRAVELER: A Benchmark for Evaluating Temporal Reasoning across Vague, Implicit and Explicit References—0
Tree-of-Table: Unleashing the Power of LLMs for Enhanced Large-Scale Table Understanding—0
TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning—0
TrICy: Trigger-guided Data-to-text Generation with Intent aware Attention-Copy—0
TrojanWhisper: Evaluating Pre-trained LLMs to Detect and Localize Hardware Trojans—0
Trustera: A Live Conversation Redaction System—0
TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers—0
Tuning In to Neural Encoding: Linking Human Brain and Artificial Supervised Representations of Language—0
Two Discourse Driven Language Models for Semantics—0
Two-stage Voice Application Recommender System for Unhandled Utterances in Intelligent Personal Assistant—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