BUT-TYPED: Using domain knowledge for computing typed similarity
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Semantic Textual SimilaritySimilar Papers 제목 키워드 기반
PolyUCOMP-CORE\_TYPED: Computing Semantic Textual Similarity using Overlapped Senses
2013-06-01 · SEMEVAL 2013 6
· Jian Xu, Qin Lu
Natural Language InferenceSemantic Textual SimilarityText Summarization
Heterogeneous Graphlets
2020-10-23
· Ryan A. Rossi, Nesreen K. Ahmed, Aldo Carranza, David Arbour 외
In this paper, we introduce a generalization of graphlets to heterogeneous networks called typed graphlets. Informally, typed graphlets are small typed induced subgraphs. Typed graphlets generalize graphlets to rich hete…
UBC\_UOS-TYPED: Regression for typed-similarity
2013-06-01 · SEMEVAL 2013 6
· Eneko Agirre, Nikolaos Aletras, Aitor Gonzalez-Agirre, German Rigau 외
LemmatizationNamed Entity Recognition (NER)regression
Learning Typed Entailment Graphs with Global Soft Constraints
2018-01-01 · TACL 2018 1
· Mohammad Javad Hosseini, Nathanael Chambers, Siva Reddy, Xavier R. Holt 외
This paper presents a new method for learning typed entailment graphs from text. We extract predicate-argument structures from multiple-source news corpora, and compute local distributional similarity scores to learn ent…
Graph LearningHow Does Research Evolve? Tracing Cross-Domain Trajectories in NLP, ML, and CV with Claim-Grounded Typed Citations
2026-06-21
· Abdul Muntakim, Md Abdullah Al Hafiz Khan, Sadid Hasan, Yong Pei
arxiv
How does research evolve, and what substrate would let us forecast where it goes next? Scientific progress is not simply a uniform accumulation of facts: ideas extend prior methods, address known limitations, realize pro…