Results 51 to 60 of about 84,282 (334)
FEBS Open Bio, EarlyView.Under environmental changes, the expression level of neuropeptide (NP) and neuropeptide receptor (NPR) genes changes to confer context‐dependent adaptation to the model organism Drosophila melanogaster. Through finding more regulatory elements in the NPR genes in comparison with their ligands (NPs), we found that NPR‐biased transcriptional regulation ...
SeungHeui Ryu +6 more
wiley +1 more source
An Earley-type recognizer for dependency grammar [PDF]
Proceedings of the 16th conference on Computational linguistics -, 1996 The paper is a first attempt to fill a gap in the dependency literature, by providing a mathematical result on the complexity of recognition with a dependency grammar. The paper describes an improved Earley-type recognizer with a complexity O(IGI2n3). The improvement is due to a precompilation of the dependency rules into parse tables, that determine ...
LOMBARDO, Vincenzo, LESMO L.
openaire +2 more sources
Aging and Cancer, EarlyView.This study underscores the significant influence of frailty and vitality on the subjective health experience of older cancer survivors with acceptance and control emerging as salient mediators. These findings affirm the conceptual and empirical robustness of the model highlighting its potential utility in shaping future interventions for older cancer ...
Damien S. E. Broekharst +4 more
wiley +1 more source
Against strict headedness in syntax
Journal of Language Modelling, 2022 Strict headedness is a common idealization in the structural analysis of linguistic entities, particularly in syntax. This contribution takes a critical look at its premises and applications by demonstrating the surprising sloppiness of both the ...
Timm Lichte
doaj +2 more sources
Leveraging Dependency Grammar for Fine-Grained Offensive Language Detection using Graph Convolutional Networks [PDF]
, 2022 Divyam Goel, Raksha Sharma
openalex +1 more source
Dependency Grammar Induction with Neural Lexicalization and Big Training Data
, 2017 We study the impact of big models (in terms of the degree of lexicalization) and big data (in terms of the training corpus size) on dependency grammar induction.
Han, Wenjuan, Jiang, Yong, Tu, Kewei
core +1 more source
New Directions for Adult and Continuing Education, EarlyView.ABSTRACT This article explores how artificial intelligence (AI) can support online adult learning by aligning with Knowles’ four principles of andragogy: involvement, experience, problem‐centeredness, and relevance. Three activities were analyzed using a comparative case study (CCS) method.
Xi Lin, Steve W. Schmidt
wiley +1 more source
LFG without C-structures [PDF]
, 2010 We explore the use of two dependency parsers, Malt and MST, in a Lexical Functional Grammar parsing pipeline. We compare this to the traditional LFG parsing pipeline which uses constituency parsers.
Cahill, Aoife +5 more
core +1 more source
New Directions for Adult and Continuing Education, EarlyView.ABSTRACT This article explores how artificial intelligence (AI) is reshaping scholarly research and writing for faculty in higher education. As AI becomes increasingly integrated into academic workflows, it offers opportunities to enhance efficiency, exchange ideas, and foster creativity, while also raising critical questions about authorship ...
Adam L. McClain, Scott Barton
wiley +1 more source
Partial dependency parsing for Irish [PDF]
, 2010 In this paper we present a partial dependency parser for Irish, in which Constraint Grammar (CG) rules are used to annotate dependency relations and grammatical functions in unrestricted Irish text.
Uí Dhonnchadha, Elaine +1 more
core +1 more source