activity
20142022
most citedPatent Retrieval: A Literature Review

90 citations · 156 across the 8 of their papers we have counts for

collaborators

9 papers

cs.IR2022★ 22 cited

M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations

Walid Shalaby, Sejoon Oh, Amir Afsharinejad +2

Session-based recommender systems (SBRSs) have shown superior performance over conventional methods. However, they show limited scalability on large-scale industrial datasets since…

cs.CL2019★ 1 cited

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…

cs.CL2018★ 29 cited

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…

cs.IR2018★ 2 cited

Help Me Find a Job: A Graph-based Approach for Job Recommendation at Scale

Walid Shalaby, BahaaEddin AlAila, Mohammed Korayem +4

Online job boards are one of the central components of modern recruitment industry. With millions of candidates browsing through job postings everyday, the need for accurate, effec…

cs.CL2017★ 4 cited

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…

cs.IR2017★ 90 cited

Patent Retrieval: A Literature Review

Walid Shalaby, Wlodek Zadrozny

With the ever increasing number of filed patent applications every year, the need for effective and efficient systems for managing such tremendous amounts of data becomes inevitabl…

cs.CL2016★ 2 cited

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…

cs.CL2015

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…

cs.CL2014★ 6 cited

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…