Results 91 to 100 of about 82,228 (264)
An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation [PDF]
Conference on Machine Translation, 2018 Recent work has shown that the encoder-decoder attention mechanisms in neural machine translation (NMT) are different from the word alignment in statistical machine translation.
Gongbo Tang, Rico Sennrich, Joakim Nivre
semanticscholar +1 more source
Randomly sparsified Richardson iteration: A dimension‐independent sparse linear solver
Communications on Pure and Applied Mathematics, EarlyView.Abstract Recently, a class of algorithms combining classical fixed‐point iterations with repeated random sparsification of approximate solution vectors has been successfully applied to eigenproblems with matrices as large as 10108×10108$10^{108} \times 10^{108}$. So far, a complete mathematical explanation for this success has proven elusive.
Jonathan Weare, Robert J. Webber
wiley +1 more source
Lexical Chain dan Word Sense Disambiguation Untuk Peringkasan Artikel Berbahasa Indonesia
Techno.Com, 2017 Text Summarization adalah sebuah proses untuk menghasilkan ringkasan suatu dokumen dengan tidak menghilangkan informasi utama dari artikel. Ada beberapa metode untuk melakukan peringkasan, seperti metode rantai leksikal atau lexical chain yang memiliki ...
Dika Muhammad Fazar +1 more
doaj
Capsule Network Improved Multi-Head Attention for Word Sense Disambiguation
Applied Sciences, 2021 Word sense disambiguation (WSD) is one of the core problems in natural language processing (NLP), which is to map an ambiguous word to its correct meaning in a specific context.
Jinfeng Cheng, Weiqin Tong, Weian Yan
doaj +1 more source
Error driven word sense disambiguation [PDF]
Proceedings of the 36th annual meeting on Association for Computational Linguistics -, 1998 In this paper we describe a method for performing word sense disambiguation (WSD). The method relies on unsupervised learning and exploits functional relations among words as produced by a shallow parser. By exploiting an error driven rule learning algorithm (Brill 1997), the system is able to produce rules for WSD, which can be optionally edited by ...
Luca Dini +2 more
openaire +3 more sources
The Knowledge Acquisition Bottleneck Problem in Multilingual Word Sense Disambiguation
International Joint Conference on Artificial Intelligence, 2020 Word Sense Disambiguation (WSD) is the task of identifying the meaning of a word in a given context. It lies at the base of Natural Language Processing as it provides semantic information for words.
Tommaso Pasini
semanticscholar +1 more source
Energy Science &Engineering, EarlyView.ABSTRACT In China, as the mining depth of coal mines increases, the occurrence conditions of coal seams are becoming increasingly complex, leading to a continuous rise in the risk of rock‐burst. The frequent occurrence of such accidents has caused severe losses to the safe production of coal mines.
Shuheng Zhong, Qi Wang, Haoliang Yin
wiley +1 more source
On the Proper Treatment of Dynamics in Cognitive Science
Topics in Cognitive Science, EarlyView., 2023 Abstract This essay examines the relevance of dynamical ideas for cognitive science. On its own, the mere mathematical idea of a dynamical system is too weak to serve as a scientific theory of anything, and dynamical approaches within cognitive science are too rich and varied to be subsumed under a single “dynamical hypothesis.” Instead, after first ...
Randall D. Beer
wiley +1 more source
CSI: A Coarse Sense Inventory for 85% Word Sense Disambiguation
AAAI Conference on Artificial Intelligence, 2020 Word Sense Disambiguation (WSD) is the task of associating a word in context with one of its meanings. While many works in the past have focused on raising the state of the art, none has even come close to achieving an F-score in the 80% ballpark when ...
Caterina Lacerra +3 more
semanticscholar +1 more source
Who gets redeployed? Inventor characteristics and resource redeployment decisions
Strategic Management Journal, EarlyView.Abstract Research Summary While the literature highlights the benefits of internally redeploying resources, there is less empirical guidance on which resources are most likely to be redeployed. We examine the relationship between inventor characteristics and redeployment decisions, motivated by the tension between costs and benefits of keeping a ...
Kyungsoo Kim, Isin Guler, Samina Karim
wiley +1 more source