Nine Features in a Random Forest to Learn Taxonomical Semantic Relations

29 March 2016

Papers citing "Nine Features in a Random Forest to Learn Taxonomical Semantic Relations"

5 / 5 papers shown

Title
Visual Grounding Helps Learn Word Meanings in Low-Data Regimes Chengxu Zhuang Evelina Fedorenko Jacob Andreas 22 10 0 20 Oct 2023
Idioms, Probing and Dangerous Things: Towards Structural Probing for Idiomaticity in Vector Space Filip Klubicka Vasudevan Nedumpozhimana John D. Kelleher 41 4 0 27 Apr 2023
ASPER: Attention-based Approach to Extract Syntactic Patterns denoting Semantic Relations in Sentential Context Md. Ahsanul Kabir Typer Phillips Xiao Luo M. Hasan 16 2 0 04 Apr 2021
Hypernyms Through Intra-Article Organization in Wikipedia Disha Shrivastava Sreyash Kenkre Santosh Penubothula 9 0 0 03 Sep 2018
From Frequency to Meaning: Vector Space Models of Semantics Peter D. Turney Patrick Pantel 110 2,982 0 04 Mar 2010