We propose a new method for word sense disambiguation for verbs. In our method, sense-dependent selectional preference of verbs is obtained through the ...
Table of Contents · Abstract · 1 Introduction · 2 Related Work · 3 Potts Model · 4 Proposed Method. 4.1 Construction of Lexical Networks; 4.2 Use of Potts Model; 4.3 ...
Potts Model on the Case Fillers for Word Sense Disambiguation. Hiroya Takamura | Manabu Okumura |. Paper Details: Month: November Year: 2011
It proves that the rumor forms Potts-like spin chains in the case with maximum information entropy. The approximate calculation shows that the rumor may be ...
Mar 5, 2023 · This study proposes a method to improve text matching through integration of lexical knowledge from external resources to model the senses of potentially ...
Potts Model on the Case Fillers for Word Sense Disambiguation · Hiroya ... 2009. This paper presents a high-performance broad-coverage supervised word sense ...
A high-performance broad-coverage supervised word sense disambiguation (WSD) system for English verbs that uses linguistically motivated features and a ...
Potts Model on the Case Fillers for Word Sense Disambiguation. Takamura, Hiroya and Okumura, Manabu. Proceedings of 5th International Joint Conference on ...
Jun 15, 2021 · We present two supervised (pre-)training methods to incorporate gloss definitions from lexical resources into neural language models (LMs).
Missing: Potts Case Fillers
We propose a novel method for extracting semantic information about a verb's arguments and apply it to Verb Sense Disambiguation (VSD).