6 papers
Medical Model Synthesis Architectures: A Case Study
Katherine M. Collins, Marlene Berke, Ilia Sucholutsky +6
Medicine is rife with high-stakes uncertainty. Doctors routinely make clinical judgments and decisions that juggle many fundamental unknowns, like predictions about what might be c…
Modeling Open-World Cognition as On-Demand Synthesis of Probabilistic Models
Lionel Wong, Katherine M. Collins, Lance Ying +8
When faced with novel situations, people are able to marshal relevant considerations from a wide range of background knowledge and put these to use in inferences and predictions. W…
Unsupervised Classification of English Words Based on Phonological Information: Discovery of Germanic and Latinate Clusters
Takashi Morita, Timothy J. O'Donnell
Cross-linguistically, native words and loanwords follow different phonological rules. In English, for example, words of Germanic and Latinate origin exhibit different stress patter…
Reframing linguistic bootstrapping as joint inference using visually-grounded grammar induction models
Eva Portelance, Siva Reddy, Timothy J. O'Donnell
Semantic and syntactic bootstrapping posit that children use their prior knowledge of one linguistic domain, say syntactic relations, to help later acquire another, such as the mea…
A Compositional Typed Semantics for Universal Dependencies
Laurestine Bradford, Timothy John O'Donnell, Siva Reddy
Languages may encode similar meanings using different sentence structures. This makes it a challenge to provide a single set of formal rules that can derive meanings from sentences…
When does word order matter and when doesn't it?
Xuanda Chen, Timothy O'Donnell, Siva Reddy
Language models (LMs) may appear insensitive to word order changes in natural language understanding (NLU) tasks. In this paper, we propose that linguistic redundancy can explain t…