90 citations · 300 across the 30 of their papers we have counts for
16 papers · 1 filter
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…
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…
Causal Knowledge Extraction from Scholarly Papers in Social Sciences
Victor Zitian Chen, Felipe Montano-Campos, Wlodek Zadrozny
The scale and scope of scholarly articles today are overwhelming human researchers who seek to timely digest and synthesize knowledge. In this paper, we seek to develop natural lan…
UNCC Biomedical Semantic Question Answering Systems. BioASQ: Task-7B, Phase-B
Sai Krishna Telukuntla, Aditya Kapri, Wlodek Zadrozny
In this paper, we detail our submission to the 2019, 7th year, BioASQ competition. We present our approach for Task-7b, Phase B, Exact Answering Task. These Question Answering (QA)…
Emotion Detection in Text: Focusing on Latent Representation
Armin Seyeditabari, Narges Tabari, Shafie Gholizadeh +1
In recent years, emotion detection in text has become more popular due to its vast potential applications in marketing, political science, psychology, human-computer interaction, a…
Emotional Embeddings: Refining Word Embeddings to Capture Emotional Content of Words
Armin Seyeditabari, Narges Tabari, Shafie Gholizade +1
Word embeddings are one of the most useful tools in any modern natural language processing expert's toolkit. They contain various types of information about each word which makes t…
Emotion Detection in Text: a Review
Armin Seyeditabari, Narges Tabari, Wlodek Zadrozny
In recent years, emotion detection in text has become more popular due to its vast potential applications in marketing, political science, psychology, human-computer interaction, a…
A Sheaf Model of Contradictions and Disagreements. Preliminary Report and Discussion
Wlodek Zadrozny, Luciana Garbayo
We introduce a new formal model -- based on the mathematical construct of sheaves -- for representing contradictory information in textual sources. This model has the advantage of…
Beyond Word Embeddings: Learning Entity and Concept Representations from Large Scale Knowledge Bases
Walid Shalaby, Wlodek Zadrozny, Hongxia Jin
Text representations using neural word embeddings have proven effective in many NLP applications. Recent researches adapt the traditional word embedding models to learn vectors of…
Towards Semantic Modeling of Contradictions and Disagreements: A Case Study of Medical Guidelines
Wlodek Zadrozny, Hossein Hematialam, Luciana Garbayo
We introduce a formal distinction between contradictions and disagreements in natural language texts, motivated by the need to formally reason about contradictory medical guideline…
Identifying Condition-Action Statements in Medical Guidelines Using Domain-Independent Features
Hossein Hematialam, Wlodek Zadrozny
This paper advances the state of the art in text understanding of medical guidelines by releasing two new annotated clinical guidelines datasets, and establishing baselines for usi…
Learning Concept Embeddings for Efficient Bag-of-Concepts Densification
Walid Shalaby, Wlodek Zadrozny
Explicit concept space models have proven efficacy for text representation in many natural language and text mining applications. The idea is to embed textual structures into a sem…
Mined Semantic Analysis: A New Concept Space Model for Semantic Representation of Textual Data
Walid Shalaby, Wlodek Zadrozny
Mined Semantic Analysis (MSA) is a novel concept space model which employs unsupervised learning to generate semantic representations of text. MSA represents textual structures (te…
Watsonsim: Overview of a Question Answering Engine
Sean Gallagher, Wlodek Zadrozny, Walid Shalaby +1
The objective of the project is to design and run a system similar to Watson, designed to answer Jeopardy questions. In the course of a semester, we developed an open source questi…
Compositionality, Synonymy, and the Systematic Representation of Meaning
Shalom Lappin, Wlodek Zadrozny
In a recent issue of Linguistics and Philosophy Kasmi and Pelletier (1998) (K&P), and Westerstahl (1998) criticize Zadrozny's (1994) argument that any semantics can be represented…
Minimum Description Length and Compositionality
Wlodek Zadrozny
We present a non-vacuous definition of compositionality. It is based on the idea of combining the minimum description length principle with the original definition of compositional…