← Understanding
Natural Language Processing › Understanding ›

Semantic Analysis

2901 directly classified papers

Papers per year

Papers

Semantic Context Path Labeling for Semantic Exploration of User Reviews EMNLP 2021
An in-depth look at Euclidean disk embeddings for structure preserving parsing EMNLP 2021
FII_CROSS at SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation SEMEVAL 2021
GlossReader at SemEval-2021 Task 2: Reading Definitions Improves Contextualized Word Embeddings SEMEVAL 2021
SemEval-2021 Task 10: Source-Free Domain Adaptation for Semantic Processing SEMEVAL 2021
Zhestyatsky at SemEval-2021 Task 2: ReLU over Cosine Similarity for BERT Fine-tuning SEMEVAL 2021
SkoltechNLP at SemEval-2021 Task 2: Generating Cross-Lingual Training Data for the Word-in-Context Task SEMEVAL 2021
UoT-UWF-PartAI at SemEval-2021 Task 5: Self Attention Based Bi-GRU with Multi-Embedding Representation for Toxicity Highlighter ACL 2021
Pragmatic competence of pre-trained language models through the lens of discourse connectives CONLL 2021
Do pretrained transformers infer telicity like humans? CONLL 2021
LIORI at SemEval-2021 Task 2: Span Prediction and Binary Classification approaches to Word-in-Context Disambiguation ACL 2021
GX at SemEval-2021 Task 2: BERT with Lemma Information for MCL-WiC Task ACL 2021
PALI at SemEval-2021 Task 2: Fine-Tune XLM-RoBERTa for Word in Context Disambiguation ACL 2021
RuleBERT: Teaching Soft Rules to Pre-Trained Language Models EMNLP 2021
Imposing Relation Structure in Language-Model Embeddings Using Contrastive Learning EMNLP 2021
Reasoning over Entity-Action-Location Graph for Procedural Text Understanding ACL 2021
Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense Language Understanding EMNLP 2021
Improved Word Sense Disambiguation with Enhanced Sense Representations EMNLP 2021
Leveraging Word-Formation Knowledge for Chinese Word Sense Disambiguation EMNLP 2021
Effect of Visual Extensions on Natural Language Understanding in Vision-and-Language Models EMNLP 2021
Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling ACL 2021
Decomposing Complex Questions Makes Multi-Hop QA Easier and More Interpretable EMNLP 2021
Flexible Generation of Natural Language Deductions EMNLP 2021
Extracting Event Temporal Relations via Hyperbolic Geometry EMNLP 2021
Weakly Supervised Semantic Parsing by Learning from Mistakes EMNLP 2021