Ilia Kuznetsov
Biographic Data
| ID | 4980014 |
|---|---|
| NAME | Ilia Kuznetsov |
| GIVEN NAMES | Ilia |
| FAMILY NAME | Kuznetsov |
| SIGNATURE | KUZNETSOV I |
| AFFILIATIONS | AIPHES and UKP Lab / TU Darmstadt. |
| ORCID | 0000-0002-6359-2774 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Using natural language processing to support peer‐feedback in the age of artificial intelligence
Advancements in artificial intelligence are rapidly increasing. The new‐generation large language models, such as ChatGPT and GPT‐4, bear the potential to transform educational approaches, such as peer‐feedback. To investigate peer‐feedback at the intersection of natural language processing (NLP) and educational research, this paper suggests a cross‐disciplinary framework that aims to facilitate the development of NLP‐based adaptive measures for …
Revise and Resubmit
Peer review is a key component of the publishing process in most fields of science. Increasing submission rates put a strain on reviewing quality and efficiency, motivating the development of applications to support the reviewing and editorial work. While existing NLP studies focus on the analysis of individual texts, editorial assistance often requires modeling interactions between pairs of texts—yet general frameworks and datasets to support th…
Linspector
Despite an ever-growing number of word representation models introduced for a large number of languages, there is a lack of a standardized technique to provide insights into what is captured by these models. Such insights would help the community to get an estimate of the downstream task performance, as well as to design more informed neural architectures, while avoiding extensive experimentation that requires substantial computational resources …
No prominent works on this page.
Linspector
Despite an ever-growing number of word representation models introduced for a large number of languages, there is a lack of a standardized technique to provide insights into what is captured by these models. Such insights would help the community to get an estimate of the downstream task performance, as well as to design more informed neural architectures, while avoiding extensive experimentation that requires substantial computational resources …
Revise and Resubmit
Peer review is a key component of the publishing process in most fields of science. Increasing submission rates put a strain on reviewing quality and efficiency, motivating the development of applications to support the reviewing and editorial work. While existing NLP studies focus on the analysis of individual texts, editorial assistance often requires modeling interactions between pairs of texts—yet general frameworks and datasets to support th…
Using natural language processing to support peer‐feedback in the age of artificial intelligence
Advancements in artificial intelligence are rapidly increasing. The new‐generation large language models, such as ChatGPT and GPT‐4, bear the potential to transform educational approaches, such as peer‐feedback. To investigate peer‐feedback at the intersection of natural language processing (NLP) and educational research, this paper suggests a cross‐disciplinary framework that aims to facilitate the development of NLP‐based adaptive measures for …
Artificial Intelligence (3 works) · Computer Science (3 works) · Data science (2 works) · Focus (optics (2 works) · Linguistics (2 works) · Natural language processing (2 works) · Topic Modeling (2 works) · Annotation (1 works) · Artificial Intelligence (1 works) · Discipline (1 works)