90 citations · 156 across the 8 of their papers we have counts for
6 papers · 1 filter
Building chatbots from large scale domain-specific knowledge bases: challenges and opportunities
Walid Shalaby, Adriano Arantes, Teresa GonzalezDiaz +1
Popular conversational agents frameworks such as Alexa Skills Kit (ASK) and Google Actions (gActions) offer unprecedented opportunities for facilitating the development and deploym…
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…
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…
Entity Type Recognition using an Ensemble of Distributional Semantic Models to Enhance Query Understanding
Walid Shalaby, Khalifeh Al Jadda, Mohammed Korayem +1
We present an ensemble approach for categorizing search query entities in the recruitment domain. Understanding the types of entities expressed in a search query (Company, Skill, J…
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…