arXiv:1806.01733
공식 코드 · Papers with Code
Luminoso at SemEval-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational Knowledge
원문 초록
Luminoso participated in the SemEval 2018 task on "Capturing Discriminative Attributes" with a system based on ConceptNet, an open knowledge graph focused on general knowledge. In this paper, we describe how we trained a linear classifier on a small number of semantically-informed features to achieve an $F_1$ score of 0.7368 on the task, close to the task's high score of 0.75.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
KnowRA: Knowledge Retrieval Augmented Method for Document-level Relation Extraction with Comprehensive Reasoning Abilities
Unveiling Causal Reasoning in Large Language Models: Reality or Mirage?
Chaining Event Spans for Temporal Relation Grounding
TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora
Improving Personalized Search with Regularized Low-Rank Parameter Updates
HSSBench: Benchmarking Humanities and Social Sciences Ability for Multimodal Large Language Models
토론
이 논문과 연결된 포럼 글이 아직 없습니다.