Results 141 to 150 of about 82,228 (264)

Unsupervised Word Sense Disambiguation Using Transformer’s Attention Mechanism

Machine Learning and Knowledge Extraction
Transformer models produce advanced text representations that have been used to break through the hard challenge of natural language understanding. Using the Transformer’s attention mechanism, which acts as a language learning memory, trained on tens of ...
Radu Ion, Vasile Păiș, Verginica Barbu Mititelu, Elena Irimia, Maria Mitrofan, Valentin Badea, Dan Tufiș   +6 more
doaj   +1 more source

PENENTUAN MAKNA KATA DARI FRASE DALAM KALIMAT BAHASA INGGRIS

Rekayasa, 2011
Tokenisasi merupakan proses memecah kalimat menjadi kata, frase atau bentuk lain yang memiliki arti, hasil tokenisasi disebut sebagai token. Tokenisasi adalah langkah prapemrosesan Word Sense Disambiguation (WSD), proses penentuan makna suatu kata ...
Jeany Harmoejanto
doaj   +1 more source

SyntagNet: Challenging Supervised Word Sense Disambiguation with Lexical-Semantic Combinations

Conference on Empirical Methods in Natural Language Processing, 2019
Current research in knowledge-based Word Sense Disambiguation (WSD) indicates that performances depend heavily on the Lexical Knowledge Base (LKB) employed.
Marco Maru, Federico Scozzafava, Federico Martelli, Roberto Navigli   +3 more
semanticscholar   +1 more source

How Flexible Are Grammars Past Puberty? The Case of Relative Clauses in Turkish‐American Returnees

Language Learning, EarlyView.
Abstract How flexible are grammars after puberty? To answer this, we test returnees: heritage speakers (HS) born in an immigration context who returned to their homeland in later years. If returnees are targetlike, then language is still malleable after puberty; in contrast, if maturational effects are in play, postpuberty returnees will show ...
Aylin Coşkun Kunduz, Silvina Montrul
wiley   +1 more source

Error Correction Learning of Second Language Verbal Morphology: Associating Imperfect Contingencies in Naturalistic Frequency Distributions

Language Learning, EarlyView.
Abstract We investigate what is learned from exposure to usage in verbal morphology using an error correction mechanism within an associative learning framework. We computationally simulated how second language (L2) learners would respond to naturalistic input of aspectual usage, characterized by “imperfect contingencies,” given two types of ...
Justyna Mackiewicz, Petar Milin, Dagmar Divjak   +2 more
wiley   +1 more source

Model‐Based Semantics: Doing Without Meaning Constitution

Metaphilosophy, EarlyView.
Abstract This paper introduces a model‐based account of meaning, arguing that meaning properties reside in models rather than in the external world. Building on this view, it explores how such an instrumentalist framework can engage critically with various concerns raised by Wittgenstein, Quine, and Kripke[nstein]—each of whom voiced scepticism toward ...
Pietro Salis
wiley   +1 more source

Neural Network Models for Word Sense Disambiguation: An Overview

Cybernetics and Information Technologies, 2018
The following article presents an overview of the use of artificial neural networks for the task of Word Sense Disambiguation (WSD). More specifically, it surveys the advances in neural language models in recent years that have resulted in methods for ...
Popov Alexander
doaj   +1 more source

The cognitive role of concept variability

Mind &Language, EarlyView.
I present and defend concept variability, the view that concepts can admit of indefinitely many variations and changes in their representational contents without thereby losing their identity. I argue that the variability of concepts is central to their role in enabling cognition, and thus that a concept's content variability is, despite philosophical ...
Alnica Visser
wiley   +1 more source

The Problem of Christ’s Acquired Knowledge

Modern Theology, EarlyView.
Abstract Thomas Aquinas is universally applauded for his “courage and perspicacity” in eventually admitting an acquired knowledge in Christ. According to this doctrine, Christ, through the experience of his senses, came to know what he previously did not know.
Joshua H. Lim
wiley   +1 more source

Heavy‐duty conceptual engineering

Noûs, EarlyView.
Abstract Conceptual engineering is the process of assessing and improving our conceptual repertoire. Some authors have claimed that introducing or revising concepts through conceptual engineering can go as far as expanding the realm of thinkable thoughts and thus enable us to form beliefs, hypotheses, wishes, or desires that we are currently unable to ...
Steffen Koch, Jakob Ohlhorst
wiley   +1 more source