Search Results for author:
Found 4 papers, 1 papers with code
Amplifying Aspect-Sentence Awareness: A Novel Approach for Aspect-Based Sentiment Analysis
Recent research underscores the value of integrating syntactic information, such as dependency trees, to understand long-range syntactic relationships better and link aspects with context.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+3
Lifted Algorithms for Symmetric Weighted First-Order Model Sampling
Specifically, we prove the domain-liftability under sampling for the two-variables fragment of first-order logic with counting quantifiers in this paper, by devising an efficient sampling algorithm for this fragment that runs in time polynomial in the domain size.
On Exact Sampling in the Two-Variable Fragment of First-Order Logic
In this paper, we study the sampling problem for first-order logic proposed recently by Wang et al. -- how to efficiently sample a model of a given first-order sentence on a finite domain?
On the ERM Principle with Networked Data
We consider general weighted ERM and show new universal risk bounds for this problem.
