Jens Nevens
Biographic Data
| ID | 9437478 |
|---|---|
| NAME | Jens Nevens |
| GIVEN NAMES | Jens |
| FAMILY NAME | Nevens |
| SIGNATURE | NEVENS J |
| AFFILIATIONS | Vrije Universiteit Brussel |
| ORCID | 0000-0001-5413-2955 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Construction grammar and procedural semantics for human-interpretable grounded language processing
Grounded language processing is a crucial component in many artificial intelligence systems, as it allows agents to communicate about their physical surroundings. State-of-the-art approaches typically employ deep learning techniques that perform end-to-end mappings between natural language expressions and representations grounded in the environment. Although these techniques achieve high levels of accuracy, they are often criticized for their lac…
Computational construction grammar for visual question answering
In order to be able to answer a natural language question, a computational system needs three main capabilities. First, the system needs to be able to analyze the question into a structured query, revealing its component parts and how these are combined. Second, it needs to have access to relevant knowledge sources, such as databases, texts or images. Third, it needs to be able to execute the query on these knowledge sources. This paper focuses o…
No prominent works on this page.
Computational construction grammar for visual question answering
In order to be able to answer a natural language question, a computational system needs three main capabilities. First, the system needs to be able to analyze the question into a structured query, revealing its component parts and how these are combined. Second, it needs to have access to relevant knowledge sources, such as databases, texts or images. Third, it needs to be able to execute the query on these knowledge sources. This paper focuses o…
Construction grammar and procedural semantics for human-interpretable grounded language processing
Grounded language processing is a crucial component in many artificial intelligence systems, as it allows agents to communicate about their physical surroundings. State-of-the-art approaches typically employ deep learning techniques that perform end-to-end mappings between natural language expressions and representations grounded in the environment. Although these techniques achieve high levels of accuracy, they are often criticized for their lac…
Artificial Intelligence (2 works) · Computer Science (2 works) · Domain Adaptation and Few-Shot Learning (2 works) · Grammar (2 works) · Linguistics (2 works) · Multimodal Machine Learning Applications (2 works) · Natural language (2 works) · Natural language processing (2 works) · Programming language (2 works) · Advanced Image and Video Retrieval Techniques (1 work)