Arash Eshghi
Biographic Data
| ID | 7397373 |
|---|---|
| NAME | Arash Eshghi |
| GIVEN NAMES | Arash |
| FAMILY NAME | Eshghi |
| SIGNATURE | ESHGHI A |
| AFFILIATIONS | Heriot-Watt University |
| ORCID | 0000-0003-4711-4091 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2008 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
BabyDS
Recent research in grounded language learning has seen remarkable success due to advances in large vision and language models (VLMs). However, these models (i) are extremely costly to train and update; (ii) struggle with generalisation; and (iii) do not support continual learning. In this paper, we introduce baby-ds integrating the Dynamic Syntax (DS) framework with automated planning within the multimodal BabyAI platform as a testbed. We provide…
Incremental Processing of Laughter in Interaction
In dialogue, laughter is a frequent non-verbal signal that can precede, follow, or overlap its antecedent—the laughable. Furthermore, the time alignment between the laughter and the laughable is dependent on who produces the laughable, whether laughter overlaps or not with speech and the communicative act performed. Laughter can interrupt either one’s own or one’s conversational partners’ utterances and, like other well-studied features of dialog…
Completability vs (In)completeness
In everyday conversation, no notion of “complete sentence” is required for syntactic licensing. However, so-called “fragmentary”, “incomplete”, and abandoned utterances are problematic for standard formalisms. When contextualised, such data show that (a) non-sentential utterances are adequate to underpin agent coordination, while (b) all linguistic dependencies can be systematically distributed across participants and turns. Standard models have …
Grammars as Mechanisms for Interaction
Communication Spaces
No prominent works on this page.
Communication Spaces
Grammars as Mechanisms for Interaction
Completability vs (In)completeness
In everyday conversation, no notion of “complete sentence” is required for syntactic licensing. However, so-called “fragmentary”, “incomplete”, and abandoned utterances are problematic for standard formalisms. When contextualised, such data show that (a) non-sentential utterances are adequate to underpin agent coordination, while (b) all linguistic dependencies can be systematically distributed across participants and turns. Standard models have …
BabyDS
Recent research in grounded language learning has seen remarkable success due to advances in large vision and language models (VLMs). However, these models (i) are extremely costly to train and update; (ii) struggle with generalisation; and (iii) do not support continual learning. In this paper, we introduce baby-ds integrating the Dynamic Syntax (DS) framework with automated planning within the multimodal BabyAI platform as a testbed. We provide…
Incremental Processing of Laughter in Interaction
In dialogue, laughter is a frequent non-verbal signal that can precede, follow, or overlap its antecedent—the laughable. Furthermore, the time alignment between the laughter and the laughable is dependent on who produces the laughable, whether laughter overlaps or not with speech and the communicative act performed. Laughter can interrupt either one’s own or one’s conversational partners’ utterances and, like other well-studied features of dialog…
Computer Science (2 works) · Epistemology (2 works) · Language, Discourse, Communication Strategies (2 works) · Language, Metaphor, and Cognition (2 works) · Linguistics (2 works) · Mathematics (2 works) · Philosophy (2 works) · Syntax (2 works) · Syntax, Semantics, Linguistic Variation (2 works) · Action (physics (1 works)