arXiv:1711.04204
공식 코드 · Papers with Code
Automatic Extraction of Commonsense LocatedNear Knowledge
원문 초록
LocatedNear relation is a kind of commonsense knowledge describing two physical objects that are typically found near each other in real life. In this paper, we study how to automatically extract such relationship through a sentence-level relation classifier and aggregating the scores of entity pairs from a large corpus. Also, we release two benchmark datasets for evaluation and future research.
함께 살펴볼 논문
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A MISMATCHED Benchmark for Scientific Natural Language Inference
T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction
Generative Adversarial Framework for Cold-Start Item Recommendation
A Single Attention-Based Combination of CNN and RNN for Relation Classification
Sentinel: Decoding Context Utilization via Attention Probing for Efficient LLM Context Compression
Mitigating Object Hallucinations via Sentence-Level Early Intervention
토론
이 논문과 연결된 포럼 글이 아직 없습니다.