Building a multi-domain comparable corpus using a learning to rank method

Our paper "Building a multi-domain comparable corpus using a learning to rank method", with Razieh Rahimi, Azadeh Shakery, Javid Dadashkarimi, Mozhdeh Ariannezhad, and Hossein Nasr Esfahani has been published at the Journal of Natural Language Engineering. \o/ Multilingual nature of the Web makes interlingual translation a crucial requirement for information management applications. Bilingual humanly constructed […]

Two-Way Parsimonious Classification Models for Evolving Hierarchies

Our paper "Two-Way Parsimonious Classification Models for Evolving Hierarchies", with Hosein Azarbonyad, Jaap Kamps, and Maarten Marx, has been accepted as a long paper at the Conference and Labs of the Evaluation Forum (CLEF'16). \o/ Modern web data is highly structured in terms of entities and relations from large knowledge bases, geo-temporal references, and social […]

Significant Words Representations of Entities

My doctoral consortium submission on "Significant Words Representations of Entities", has been accepted at the International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2016). \o/ Transforming the data into a suitable representation is the first key step of data analysis, and the performance of any data-oriented method is heavily depending on it. […]

Alecsa: Attentive Learning for Email Categorization using Structural Aspects

Our paper "Alecsa: Attentive Learning for Email Categorization using Structural Aspects", with Azadeh Shakery, and Maryam S. Mirian, has been published at the Knowledge-Based Systems Journal. \o/ Due to the enormous volume of email data generated each day, email management has become a vital area of research. Among the email management tasks, automatic email categorization […]