1 |
Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps ...
|
|
|
|
BASE
|
|
Show details
|
|
2 |
Universal Dependencies and Semantics for English and Hebrew Child-directed Speech
|
|
|
|
In: Proceedings of the Society for Computation in Linguistics (2022)
|
|
BASE
|
|
Show details
|
|
3 |
Forecasting the macrolevel determinants of entrepreneurial opportunities using artificial intelligence models
|
|
|
|
In: ISSN: 0040-1625 ; Technological Forecasting and Social Change ; https://hal.archives-ouvertes.fr/hal-03442122 ; Technological Forecasting and Social Change, Elsevier, 2021, pp.121353. ⟨10.1016/j.techfore.2021.121353⟩ (2021)
|
|
BASE
|
|
Show details
|
|
4 |
On Neurons Invariant to Sentence Structural Changes in Neural Machine Translation ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
A constraint on co-occurrence of partitive quantifiers and gradable predicates
|
|
|
|
In: Sinn und Bedeutung; Bd. 25 (2021): Proceedings of Sinn und Bedeutung 25; 55-72 ; Proceedings of Sinn und Bedeutung; Vol 25 (2021): Proceedings of Sinn und Bedeutung 25; 55-72 ; 2629-6055 (2021)
|
|
BASE
|
|
Show details
|
|
7 |
Cross-linguistically Consistent Semantic and Syntactic Annotation of Child-directed Speech ...
|
|
|
|
BASE
|
|
Show details
|
|
8 |
On the Relation between Syntactic Divergence and Zero-Shot Performance ...
|
|
|
|
BASE
|
|
Show details
|
|
9 |
The Grammar-Learning Trajectories of Neural Language Models ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
A diachronic explanation for cross-linguistic variation in the use of inverse-scope constructions
|
|
|
|
In: Semantics and Linguistic Theory; Proceedings of SALT 31; 021-041 ; 2163-5951 (2021)
|
|
BASE
|
|
Show details
|
|
11 |
From Unsupervised Machine Translation To Adversarial Text Generation ...
|
|
|
|
BASE
|
|
Show details
|
|
12 |
UCCA's Foundational Layer: Annotation Guidelines v2.1 ...
|
|
|
|
Abstract:
This is the annotation manual for Universal Conceptual Cognitive Annotation (UCCA; Abend and Rappoport, 2013), specifically the Foundational Layer. UCCA is a graph-based semantic annotation scheme based on typological linguistic principles. It has been applied to several languages; for ease of exposition these guidelines give examples mainly in English. New annotators may wish to start with the tutorial on the UCCA framework (Abend et al., 2020). Further resources are available at the project homepage: https://universalconceptualcognitiveannotation.github.io ...
|
|
Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
|
|
URL: https://dx.doi.org/10.48550/arxiv.2012.15810 https://arxiv.org/abs/2012.15810
|
|
BASE
|
|
Hide details
|
|
14 |
Language (Re)modelling: Towards Embodied Language Understanding ...
|
|
|
|
BASE
|
|
Show details
|
|
18 |
Semantic Structural Decomposition for Neural Machine Translation ...
|
|
|
|
BASE
|
|
Show details
|
|
19 |
Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics ...
|
|
|
|
BASE
|
|
Show details
|
|
20 |
Non-maximality and homogeneity: Parallels between collective predicates and absolute adjectives
|
|
|
|
In: Sinn und Bedeutung; Bd. 24 Nr. 1 (2020): Proceedings of Sinn und Bedeutung 24; 66-83 ; Proceedings of Sinn und Bedeutung; Vol 24 No 1 (2020): Proceedings of Sinn und Bedeutung 24; 66-83 ; 2629-6055 (2020)
|
|
BASE
|
|
Show details
|
|
|
|