Skip to main content

12 Result(s)

within Heshaam Faili Remove this filter Data Mining and Knowledge Discovery Remove this filter

and

  1. No Access

    Article

    MLPR: Efficient influence maximization in linear threshold propagation model using linear programming

    Influence maximization is an important research topic in social networks that has different applications such as analyzing spread of rumors, interest, adoption of innovations, and feed ranking. The goal is to ...

    Farzaneh Ghayour-Baghbani, Masoud Asadpour… in Social Network Analysis and Mining (2020)

  2. No Access

    Article

    Solving submodular text processing problems using influence graphs

    Submodular functions appear in a considerable number of important natural language processing problems such as text summarization and dataset selection. Current graph-based approaches to solving such problems ...

    Ali Vardasbi, Heshaam Faili, Masoud Asadpour in Social Network Analysis and Mining (2019)

  3. No Access

    Article

    RACER: accurate and efficient classification based on rule aggregation approach

    Rule-based classification is one of the most important topics in the field of data mining due to its wide applications. This article presents a novel rule-based classifier called RACER (Rule Aggregating ClassifiE...

    Javad Basiri, Fattaneh Taghiyareh, Heshaam Faili in Neural Computing and Applications (2019)

  4. No Access

    Chapter and Conference Paper

    LICD: A Language-Independent Approach for Aspect Category Detection

    Aspect-based sentiment analysis (ABSA) deals with processing and summarizing customer reviews and has been a topic of interest in recent years. Given a set of predefined categories, Aspect Category Detection (...

    Erfan Ghadery, Sajad Movahedi, Masoud Jalili Sabet… in Advances in Information Retrieval (2019)

  5. No Access

    Chapter and Conference Paper

    Persianp: A Persian Text Processing Toolbox

    This paper describes Persianp Toolbox, an integrated Persian text processing system and easily used in other software applications. The toolbox which provides fundamental Persian text processing steps include...

    Mahdi Mohseni, Javad Ghofrani, Heshaam Faili in Computational Linguistics and Intelligent … (2018)

  6. No Access

    Chapter and Conference Paper

    Multiple System Combination for PersoArabic-Latin Transliteration

    In this paper, we model a PersoArabic to Latin transliteration system as grapheme-to-phoneme (G2P) and word lattice methods combined with statistical machine translation (SMT). Persian is an Indo-Iranian branc...

    Nima Hemmati, Heshaam Faili, Jalal Maleki in Computational Linguistics and Intelligent … (2018)

  7. No Access

    Chapter and Conference Paper

    Dimension Projection Among Languages Based on Pseudo-Relevant Documents for Query Translation

    Using top-ranked documents retrieved in response to a query of a user has been shown to be an effective approach to improve the quality of query translation in dictionary-based cross-language information retri...

    Javid Dadashkarimi, Mahsa S. Shahshahani… in Advances in Information Retrieval (2017)

  8. No Access

    Chapter and Conference Paper

    Applying Sentiment and Social Network Analysis in User Modeling

    The idea of applying a conjunction of sentiment and social network analysis to improve the performance of applications has recently attracted attention of researchers. In widely used online shop** websites, ...

    Mohammadreza Shams, Mohammadtaghi Saffar… in Computational Linguistics and Intelligent … (2012)

  9. No Access

    Chapter and Conference Paper

    TEP: Tehran English-Persian Parallel Corpus

    Parallel corpora are one of the key resources in natural language processing. In spite of their importance in many multi-lingual applications, no large-scale English-Persian corpus has been made available so f...

    Mohammad Taher Pilevar, Heshaam Faili… in Computational Linguistics and Intelligent … (2011)

  10. No Access

    Chapter and Conference Paper

    An Unsupervised Approach for Linking Automatically Extracted and Manually Crafted LTAGs

    Though the lack of semantic representation of automatically extracted LTAGs is an obstacle in using these formalism, due to the advent of some powerful statistical parsers that were trained on them, these gram...

    Heshaam Faili, Ali Basirat in Computational Linguistics and Intelligent Text Processing (2011)

  11. No Access

    Chapter and Conference Paper

    Unsupervised Identification of Persian Compound Verbs

    One of the main tasks related to multiword expressions (MWEs) is compound verb identification. There have been so many works on unsupervised identification of multiword verbs in many languages, but there has n...

    Mohammad Sadegh Rasooli, Heshaam Faili… in Advances in Artificial Intelligence (2011)

  12. No Access

    Chapter and Conference Paper

    Creating a Persian-English Comparable Corpus

    Multilingual corpora are valuable resources for cross-language information retrieval and are available in many language pairs. However the Persian language does not have rich multilingual resources due to some...

    Homa Baradaran Hashemi, Azadeh Shakery… in Multilingual and Multimodal Information Ac… (2010)