1 |
Horse or pony? Visual Typicality and Lexical Frequency Affect Variability in Object Naming ...
|
|
|
|
BASE
|
|
Show details
|
|
2 |
The interaction between cognitive ease and informativeness shapes the lexicons of natural languages ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
Horse or pony? Visual Typicality and Lexical Frequency Affect Variability in Object Naming
|
|
|
|
In: Proceedings of the Society for Computation in Linguistics (2022)
|
|
BASE
|
|
Show details
|
|
4 |
The interaction between cognitive ease and informativeness shapes the lexicons of natural languages
|
|
|
|
In: Proceedings of the Society for Computation in Linguistics (2022)
|
|
BASE
|
|
Show details
|
|
5 |
Does referent predictability affect the choice of referential form? A computational approach using masked coreference resolution ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
Does referent predictability affect the choice of referential form? A computational approach using masked coreference resolution ...
|
|
|
|
BASE
|
|
Show details
|
|
7 |
Deep daxes: Mutual exclusivity arises through both learning biases and pragmatic strategies in neural networks ...
|
|
|
|
BASE
|
|
Show details
|
|
8 |
A closer look at scalar diversity using contextualized semantic similarity
|
|
|
|
In: Sinn und Bedeutung; Bd. 24 Nr. 2 (2020): Proceedings of Sinn und Bedeutung 24; 439-454 ; Proceedings of Sinn und Bedeutung; Vol 24 No 2 (2020): Proceedings of Sinn und Bedeutung 24; 439-454 ; 2629-6055 (2020)
|
|
BASE
|
|
Show details
|
|
9 |
Recurrent Instance Segmentation using Sequences of Referring Expressions ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
Don't Blame Distributional Semantics if it can't do Entailment ...
|
|
|
|
BASE
|
|
Show details
|
|
11 |
What do Entity-Centric Models Learn? Insights from Entity Linking in Multi-Party Dialogue ...
|
|
|
|
BASE
|
|
Show details
|
|
12 |
Putting words in context: LSTM language models and lexical ambiguity ...
|
|
|
|
BASE
|
|
Show details
|
|
14 |
Living a discrete life in a continuous world: Reference with distributed representations ...
|
|
|
|
BASE
|
|
Show details
|
|
17 |
The LAMBADA dataset: Word prediction requiring a broad discourse context ...
|
|
|
|
BASE
|
|
Show details
|
|
18 |
"Show me the cup": Reference with Continuous Representations ...
|
|
|
|
BASE
|
|
Show details
|
|
19 |
Zipf’s Law for Word Frequencies: Word Forms versus Lemmas in Long Texts
|
|
|
|
BASE
|
|
Show details
|
|
|
|