Results 131 to 140 of about 2,664 (259)
Knowledge Graph Driven Grain Big Data Applications: Overview and Perspective
[Significance]Grain production spans multiple stages and involves numerous heterogeneous factors, including agronomic inputs, natural resources, environmental conditions, and socio-economic variables. However, the associated data generated throughout the
YANG Chenxue, LI Xian, ZHOU Qingbo
doaj +1 more source
ABSTRACT We perform bibliometric analysis on documents for 255 Regulatory Impact Analyzes (RIAs) prepared by the US Environmental Protection Agency (EPA) from 1980 through 2024. Using a series of automated information extraction methods, we extract references from these documents and match them to bibliographic records.
Tyler A. Scott, Sojeong Kim, Liza Wood
wiley +1 more source
Toward a “strong” normativity of fear in Hans Jonas and Aristotle
Abstract What does it mean to say that one “ought” to undergo an emotion? In The Imperative of Responsibility, Hans Jonas provocatively asserts that twentieth‐century citizens “ought” to fear for the well‐being of future generations. I argue that Jonas's demand is not straightforwardly reducible to claims about the fittingness, expedience, or aretaic ...
Magnus Ferguson
wiley +1 more source
Understanding and truth in Hannah Arendt: The critical reception of the Eichmann trial and the will
Abstract This article highlights a shift in Hannah Arendt's intellectual development regarding the will during the 1960s, traced into the early 1970s when she focused on thinking, willing, and judging. I argue that this change was driven by reactions to her report on Adolf Eichmann's 1961 trial in Eichmann in Jerusalem (1963).
Andrew Song
wiley +1 more source
Data-driven Synset Induction and Disambiguation for Wordnet Development
International audienceAutomatic methods for wordnet development in languages other than English generally exploit information found in Princeton WordNet (PWN) and translations extracted from parallel corpora.
Apidianaki, Marianna, Sagot, Benoît
core +1 more source
Concept-based Word Sense Disambiguation for Information Retrieval System [PDF]
Word sense disambiguation (WSD) is an important technique for many NLP applications such as machine translation, content analysis and information retrieval. In the information retrieval (IR) system, ambiguous words are damaging effect on the precision of
Aung, Win Thandar, Kyae, K
core
Abstract Past research suggests that Working Memory plays a role in determining relative clause attachment bias. Disambiguation preferences may further depend on Processing Speed and explicit memory demands in linguistic tasks. Given that Working Memory and Processing Speed decline with age, older adults offer a way of investigating the factors ...
Willem S. van Boxtel, Laurel A. Lawyer
wiley +1 more source
On Coreference and The Semantic Web
Much of the Semantic Web relies upon open and unhindered interoperability between diverse systems; the successful convergence of multiple ontologies and referencing schemes is key.
Jaffri, Afraz +4 more
core
An unsupervised morpheme-based HMM for Hebrew morphological disambiguation
Morphological disambiguation is the process of assigning one set of morphological features to each individual word in a text. When the word is ambiguous (there are several possible analyses for the word), a disambiguation procedure based on the word ...
Meni Adler
core
How to Match Cognitive Model Predictions With EEG Data
Abstract Reliably identifying relevant brain areas implicated by the simulated activity from cognitive models is still an unsolved problem for cognitive modeling, particularly when matching model output with human electroencephalography (EEG) data. We propose a new method involving postprocessing of ACT‐R module activity and clustered EEG component ...
Kai Preuss +3 more
wiley +1 more source

