Simone Filice, Giovanni Da San Martino, and Alessandro Moschitti. 2015. Structural Representations for Learning Relations between Pairs of Texts. In Proceedings ...
This paper defines syntactic and semantic structures representing the text pairs and then applies graph and tree kernels to them for automatically ...
Jul 28, 2015 · This paper studies the use of structural representations for learning relations between pairs of short texts (e.g., sentences or paragraphs) ...
Structural Representations for Learning Relations between Pairs of Texts. IJCNLP 2015 · Simone Filice, Giovanni Da San Martino, Aless Moschitti, ro ·
Structural Representations for Learning Relations between Pairs of Texts. S. Filice, G. Martino, and A. Moschitti. ACL (1), page 1003-1013. The Association ...
Table of Contents · 1 Introduction · 2 Related Work · 3 Structural kernels. 3.1 The Partial Tree Kernel (P T K); 3.3 Neighborhood Subgraph Pairwise; 3.2 Smoothed ...
Two main approaches have been proposed in the literature to represent relations between words. In the first approach, a pair of words is represented by a ...
Oct 2, 2024 · The stages are alignment learning, long-text integration, and fine-tuning: Alignment Learning with Short Texts and Captions: In this stage ...
Sep 1, 2016 · We constructed a method based on semantic word embeddings and frequency information to arrive at low-dimensional representations for short texts ...
Representation Learning on Graph Structured Data - Superlinked
superlinked.com › vectorhub › articles
Jan 16, 2024 · Combining text-based representations with network structure was better than either alone. We achieved the best results using Node2Vec with ...