Results 61 to 70 of about 1,798,627 (217)

Neural disambiguation of lemma and part of speech in morphologically rich languages [PDF]

Proceedings of LREC-2020: the 12th Conference on Language Resources and Evaluation, 2020
We consider the problem of disambiguating the lemma and part of speech of ambiguous words in morphologically rich languages. We propose a method for disambiguating ambiguous words in context, using a large un-annotated corpus of text, and a morphological analyser -- with no manual disambiguation or data annotation.
arxiv  

The etiology of the association between parental nurturance and youth antisocial behavior: Evidence from a twin differences study

JCPP Advances, EarlyView.
Abstract Background Lower parental nurturance is consistently associated with higher levels of youth antisocial behavior (ASB), but the etiology of this association remains unclear. To fill this gap, we employed a twin differences approach to illuminate the environmental and genetic origins of the association between parental nurturance and children's ...
Alaina M. Di Dio, Elizabeth A. Shewark, Daniel Thaler, S. Alexandra Burt   +3 more
wiley   +1 more source

Compost amendments up to one inch restore dry rangeland soil health

PLANTS, PEOPLE, PLANET, EarlyView.
Rangelands harbor immense diversity and provide ecosystem services across vast swaths of land while supporting rural economies and the food system, but degraded rangelands may require active management to restore diversity and function. We added varying amounts of compost to understand if there are linear or saturating effects on vegetation and soil ...
Eva Stricker, Emily Cornell, Zach Withers   +2 more
wiley   +1 more source

Morphological Disambiguation of South Sámi with FSTs and Neural Networks [PDF]

arXiv, 2020
We present a method for conducting morphological disambiguation for South S\'ami, which is an endangered language. Our method uses an FST-based morphological analyzer to produce an ambiguous set of morphological readings for each word in a sentence. These readings are disambiguated with a Bi-RNN model trained on the related North S\'ami UD Treebank and
arxiv  

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

A Morphology-aware Network for Morphological Disambiguation [PDF]

arXiv, 2017
Agglutinative languages such as Turkish, Finnish and Hungarian require morphological disambiguation before further processing due to the complex morphology of words. A morphological disambiguator is used to select the correct morphological analysis of a word.
arxiv  

Balancing allocative and dynamic efficiency with redundant R&D allocation: The role of organizational proximity and centralization

Strategic Management Journal, EarlyView.
Abstract Research Summary Resource‐based‐view scholars have mainly examined two resource allocation approaches for competitive advantage in multiunit firms: resource sharing and resource redeployment. These approaches emphasize allocative efficiency—the optimal allocation of resources to maximize their current value. In technology‐intensive industries,
Vivek Tandon, Anand Nandkumar, Ronak Mogra, Kannan Srikanth   +3 more
wiley   +1 more source

Word Sense Disambiguation using Optimised Combinations of Knowledge Sources [PDF]

arXiv, 1998
Word sense disambiguation algorithms, with few exceptions, have made use of only one lexical knowledge source. We describe a system which performs unrestricted word sense disambiguation (on all content words in free text) by combining different knowledge sources: semantic preferences, dictionary definitions and subject/domain codes along with part-of ...
arxiv  

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert‐Like Systems Engineering Artifacts and a Characterization of Failure Modes

Systems Engineering, EarlyView.
ABSTRACT Multi‐purpose large language models (LLMs), a subset of generative artificial intelligence (AI), have recently made significant progress. While expectations for LLMs to assist systems engineering (SE) tasks are paramount; the interdisciplinary and complex nature of systems, along with the need to synthesize deep‐domain knowledge and ...
Taylan G. Topcu, Mohammed Husain, Max Ofsa, Paul Wach   +3 more
wiley   +1 more source

Mobilisation of Data From Natural History Collections Can Increase the Quality and Coverage of Biodiversity Information. [PDF]

Ecol Evol
Data gaps on the Global Biodiversity Information Facility (GBIF) are well described for the tropics and invertebrates, and here, we show that biases in spatial coverage translate to undersampling of environmental conditions and rare climates. However, our results underline that further mobilisation of natural history collections has the capacity to ...
Blades B, Ronquillo C, Hortal J.
europepmc   +2 more sources