Elma Kerz
Biographic Data
| ID | 1692575 |
|---|---|
| NAME | Elma Kerz |
| GIVEN NAMES | Elma |
| FAMILY NAME | Kerz |
| SIGNATURE | KERZ E |
| AFFILIATIONS | RWTH Aachen University |
| ORCID | 0000-0003-1160-3213 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Toward explainable AI (XAI) for mental health detection based on language behavior
Advances in artificial intelligence (AI) in general and Natural Language Processing (NLP) in particular are paving the new way forward for the automated detection and prediction of mental health disorders among the population. Recent research in this area has prioritized predictive accuracy over model interpretability by relying on deep learning methods. However, prioritizing predictive accuracy over model interpretability can result in a lack of…
The Relationship Between First and Second Language Writing
Recent studies have uncovered substantial individual differences in first language (L1) language attainment across the lifespan and across multiple components of language. The existence of such variability raises the question of its role in second language (L2) learning. The existing body of research on L1-L2 relationships has primarily targeted reading comprehension by means of controlled experimental designs. This study extended existing resear…
Cue Reliance in L2 Written Production
Second language learners reach expert levels in relative cue weighting only gradually. On the basis of ensemble machine learning models fit to naturalistic written productions of German advanced learners of English and expert writers, we set out to reverse engineer differences in the weighting of multiple cues in a clause linearization problem. We found that, while German advanced learners succeeded in identifying important cues, their assignment…
Introduction to the Special Issue
One of the most fundamental goals in linguistic theory is to understand the nature of linguistic knowledge, that is, the representations and mechanisms that figure in a cognitively plausible model of human language-processing. The past 50 years have witnessed the development and refinement of various theories about what kind of 'stuff' human knowledge of language consists of, and technological advances now permit the development of increasingly s…
Cue Reliance in L2 Written Production
Second language learners reach expert levels in relative cue weighting only gradually. On the basis of ensemble machine learning models fit to naturalistic written productions of German advanced learners of English and expert writers, we set out to reverse engineer differences in the weighting of multiple cues in a clause linearization problem. We found that, while German advanced learners succeeded in identifying important cues, their assignment…
Introduction to the Special Issue
One of the most fundamental goals in linguistic theory is to understand the nature of linguistic knowledge, that is, the representations and mechanisms that figure in a cognitively plausible model of human language-processing. The past 50 years have witnessed the development and refinement of various theories about what kind of 'stuff' human knowledge of language consists of, and technological advances now permit the development of increasingly s…
Introduction to the Special Issue
One of the most fundamental goals in linguistic theory is to understand the nature of linguistic knowledge, that is, the representations and mechanisms that figure in a cognitively plausible model of human language-processing. The past 50 years have witnessed the development and refinement of various theories about what kind of 'stuff' human knowledge of language consists of, and technological advances now permit the development of increasingly s…
Cue Reliance in L2 Written Production
Second language learners reach expert levels in relative cue weighting only gradually. On the basis of ensemble machine learning models fit to naturalistic written productions of German advanced learners of English and expert writers, we set out to reverse engineer differences in the weighting of multiple cues in a clause linearization problem. We found that, while German advanced learners succeeded in identifying important cues, their assignment…
The Relationship Between First and Second Language Writing
Recent studies have uncovered substantial individual differences in first language (L1) language attainment across the lifespan and across multiple components of language. The existence of such variability raises the question of its role in second language (L2) learning. The existing body of research on L1-L2 relationships has primarily targeted reading comprehension by means of controlled experimental designs. This study extended existing resear…
Toward explainable AI (XAI) for mental health detection based on language behavior
Advances in artificial intelligence (AI) in general and Natural Language Processing (NLP) in particular are paving the new way forward for the automated detection and prediction of mental health disorders among the population. Recent research in this area has prioritized predictive accuracy over model interpretability by relying on deep learning methods. However, prioritizing predictive accuracy over model interpretability can result in a lack of…
Psychology (4 works) · Computer Science (3 works) · Linguistics (3 works) · Artificial Intelligence (2 works) · Cognitive psychology (2 works) · Comprehension (2 works) · Natural language processing (2 works) · Second Language Acquisition and Learning (2 works) · Artificial Intelligence (1 work) · Cognition (1 work)