Results 51 to 60 of about 2,520 (188)
Data‐Driven Pathways to Circular E‐Waste Management
ABSTRACT As the volume and complexity of electronic waste grow worldwide, regional and subnational systems are increasingly tasked with managing the environmental, economic, and social challenges of circular resource recovery. This paper focuses on Canada's e‐waste sector to examine how circular economy (ce) principles can be integrated into regional ...
Saidia Ali +3 more
wiley +1 more source
We critically evaluate the widespread assumption that deep learning NLP models do not require lemmatized input. To test this, we trained versions of contextualised word embedding ELMo models on raw tokenized corpora and on the corpora with word tokens replaced by their lemmas.
Kutuzov, Andrey, Kuzmenko, Elizaveta
openaire +3 more sources
Lexicon-assisted tagging and lemmatization in Latin: A comparison of six taggers and two lemmatization models [PDF]
We present a survey of tagging accuracies — concerning part-of-speech and full morphological tagging — for several taggers based on a corpus for medieval church Latin (see www.comphistsem.org). The best tagger in our sample, Lapos, has a PoS tagging accuracy of close to 96% and an overall tagging accuracy (including full morphological tagging) of about
Tim vor der Brück +2 more
openaire +1 more source
Navigating Paradoxes for Strategic Business Models: Toward Shared Automated Vehicles in Europe
ABSTRACT How can paradoxical tensions in the integration of shared automated vehicles in Europe be navigated to build sustainable business models? Prior research often separates economic, social, and environmental dimensions, overlooking how their interdependencies generate tensions across organizational levels.
Denise Feldmann +3 more
wiley +1 more source
An open issue in the sentiment classification of texts written in Serbian is the effect of different forms of morphological normalization and the usefulness of leveraging large amounts of unlabeled texts.
V. Batanović, B. Nikolić
doaj +1 more source
The challenge of POS tagging and lemmatization in morphologically rich languages is examined by comparing German and Latin. We start by defining an NLP evaluation roadmap to model the combination of tools and resources guiding our experiments.
Rüdiger Gleim +8 more
doaj +1 more source
ABSTRACT With the widespread use of narrative feedback in companies, understanding how such feedback can be valuable for employee performance improvement is important. Drawing on proprietary data from an e‐commerce company, we investigate the role of specificity and causality—two key language characteristics for self‐regulation and learning.
Jan Lampe, Utz Schäffer, Daniel Schaupp
wiley +1 more source
Researchers in linguistic and lexicographic fields such as Nkondo (1987: 70) and Kamwangamalu (1997: 89) assert that no language is lexically self-sufficient. According to Jafta (1987: 127), the reason for this is because no perfectly homogenous language
Sponono Mahlangu
doaj +1 more source
ABSTRACT Traditional techniques for evaluating creative outcomes are typically based on evaluations made by human experts. These methods suffer from challenges such as subjectivity, biases, limited availability, ‘crowding’, and high transaction costs. We propose that large language models (LLMs) can be used to overcome these shortcomings.
Theresa Kranzle, Katelyn Sharratt
wiley +1 more source
Web-Application for the Presentation of Bilingual Corpora (Focusing on Bulgarian as One of the Two Paired Languages) This paper briefly presents a web-application for the presentation of bilingual aligned corpora focusing on Bulgarian as one the two ...
Ludmila Dimitrova, Ralitsa Dutsova
doaj +1 more source

