activity
19952026
most citedPatent Retrieval: A Literature Review

90 citations · 300 across the 30 of their papers we have counts for

collaborators

32 papers

cs.AI2026★ 1 cited

Implementing Tensor Logic: Unifying Datalog and Neural Reasoning via Tensor Contraction

Swapn Shah, Wlodek Zadrozny

The unification of symbolic reasoning and neural networks remains a central challenge in artificial intelligence. Symbolic systems offer reliability and interpretability but lack s…

cs.CL2024

Causality extraction from medical text using Large Language Models (LLMs)

Seethalakshmi Gopalakrishnan, Luciana Garbayo, Wlodek Zadrozny

This study explores the potential of natural language models, including large language models, to extract causal relations from medical texts, specifically from Clinical Practice G…

cs.AI2021

Abstraction, Reasoning and Deep Learning: A Study of the "Look and Say" Sequence

Wlodek W. Zadrozny

The ability to abstract, count, and use System~2 reasoning are well-known manifestations of intelligence and understanding. In this paper, we argue, using the example of the ``Look…

cs.IR2021★ 3 cited

Machine Reading of Hypotheses for Organizational Research Reviews and Pre-trained Models via R Shiny App for Non-Programmers

Victor Zitian Chen, Felipe Montano-Campos, Wlodek Zadrozny +1

The volume of scientific publications in organizational research becomes exceedingly overwhelming for human researchers who seek to timely extract and review knowledge. This paper…

cs.AI2021

A Note on Argumentative Topology: Circularity and Syllogisms as Unsolved Problems

Wlodek W. Zadrozny

In the last couple of years there were a few attempts to apply topological data analysis to text, and in particular to natural language inference. A recent work by Tymochko et al.…

cs.CL2020★ 1 cited

Towards Coinductive Models for Natural Language Understanding. Bringing together Deep Learning and Deep Semantics

Wlodek W. Zadrozny

This article contains a proposal to add coinduction to the computational apparatus of natural language understanding. This, we argue, will provide a basis for more realistic, compu…