Jesús Martínez del Rincón
Biographic Data
| ID | 6536801 |
|---|---|
| NAME | Jesús Martínez del Rincón |
| GIVEN NAMES | Jesús Martínez |
| FAMILY NAME | del Rincón |
| SIGNATURE | DEL RINCÓN J M |
| AFFILIATIONS | Queen's University Belfast |
| ORCID | 0000-0002-9574-4138 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
How Is a “Kitchen Chair” like a “Farm Horse”? Exploring the Representation of Noun-Noun Compound Semantics in Transformer-based Language Models
Despite the success of Transformer-based language models in a wide variety of natural language processing tasks, our understanding of how these models process a given input in order to represent task-relevant information remains incomplete. In this work, we focus on semantic composition and examine how Transformer-based language models represent semantic information related to the meaning of English noun-noun compounds. We probe Transformer-based…
How Is a “Kitchen Chair” like a “Farm Horse”? Exploring the Representation of Noun-Noun Compound Semantics in Transformer-based Language Models
Despite the success of Transformer-based language models in a wide variety of natural language processing tasks, our understanding of how these models process a given input in order to represent task-relevant information remains incomplete. In this work, we focus on semantic composition and examine how Transformer-based language models represent semantic information related to the meaning of English noun-noun compounds. We probe Transformer-based…
How Is a “Kitchen Chair” like a “Farm Horse”? Exploring the Representation of Noun-Noun Compound Semantics in Transformer-based Language Models
Despite the success of Transformer-based language models in a wide variety of natural language processing tasks, our understanding of how these models process a given input in order to represent task-relevant information remains incomplete. In this work, we focus on semantic composition and examine how Transformer-based language models represent semantic information related to the meaning of English noun-noun compounds. We probe Transformer-based…
Artificial Intelligence (1 works) · Computer Science (1 works) · Natural language processing (1 works) · Natural Language Processing Techniques (1 works) · Noun (1 works) · Noun phrase (1 works) · Question answering (1 works) · Security token (1 works) · Text Readability and Simplification (1 works) · Topic Modeling (1 works)