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 […]

Generalized Group Profiling for Content Customization

Our paper “Generalized Group Profiling for Content Customization”, with Hosein Azarbonyad, Jaap Kamps, and Maarten Marx, has been accepted as a short paper at the ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR’16). \o/ There is an ongoing debate on personalization, adapting results to the unique user exploiting a user’s personal history, versus […]

Parsimonious User and Group Profiling in Venue Recommendation: TREC2015 Contextual Suggestion Track

This year, we participated in the TREC 2015 Contextual Suggestion Track. Contextual suggestion is the task of searching for complex information needs that are highly dependent on both context and user interests. Creating effective profiles for both users and contexts is the main key to build an effective contextual suggestion system. To address these issues, we […]

Revisiting Optimal Rank Aggregation: A Dynamic Programming Approach

Our paper “Revisiting Optimal Rank Aggregation: A Dynamic Programming Approach”, withShayan A Tabrizi, Javid Dadashkarimi, Hasan Nasr Esfahani, and Azadeh Shakery, has been accepted as a short paper at the ACM SIGIR International Conference on the Theory of Information Retrieval. \o/ Rank aggregation, that is merging multiple ranked lists, is a pivotal challenge in many […]

Are Topically Diverse Documents Also Interesting?

Our paper “Are Topically Diverse Documents Also Interesting?”, with Hosein Azarbonya, Ferron Saan, Jaap Kamps, and Maarten Marx, has been accepted as a short paper at Conference and Labs of the Evaluation Forum (CLEF’15). \o/ Text interestingness is a measure of assessing the quality of documents from users’ perspective which shows their willingness to read […]

Meta Text Aligner: Text Alignment Based on Predicted Plagiarism Relation

Our paper “Meta Text Aligner: Text Alignment Based on Predicted Plagiarism Relation”, with Samira Abnar, and Azadeh Shakery, has been accepted as a short paper at Conference and Labs of the Evaluation Forum (CLEF’15). \o/ Text alignment is one of the main steps of plagiarism detection in textual environments. Considering the pattern in distribution of […]

Time-Aware Authorship Attribution for Short Text Streams

Our paper “Time-Aware Authorship Attribution for Short Text Streams”, with Hosein Azarbonyad, Jaap Kamps, and Maarten Marx, has been accepted as a short paper at the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’15). \o/ Identifying authors of short texts on Internet or social media based communication systems is an […]