Search Results for author:
Found 7 papers, 1 papers with code
Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance
Rental assistance programs provide individuals with financial assistance to prevent housing instabilities caused by evictions and avert homelessness.
Objects as volumes: A stochastic geometry view of opaque solids
Starting from a stochastic representation of opaque solids as random indicator functions, we prove the conditions under which such solids can be modeled using exponential volumetric transport.
Discourse Coherence in the Wild: A Dataset, Evaluation and Methods
To date there has been very little work on assessing discourse coherence methods on real-world data.
Ranked #2 on
Coherence Evaluation
on GCDC + RST - F1
Natural Language Inference from Multiple Premises
We define a novel textual entailment task that requires inference over multiple premise sentences.
Learning to Predict Denotational Probabilities For Modeling Entailment
We propose a framework that captures the denotational probabilities of words and phrases by embedding them in a vector space, and present a method to induce such an embedding from a dataset of denotational probabilities.
From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions
We propose to use the visual denotations of linguistic expressions (i. e. the set of images they describe) to define novel denotational similarity metrics, which we show to be at least as beneficial as distributional similarities for two tasks that require semantic inference.
