28 citations · 73 across the 28 of their papers we have counts for
5 papers · 1 filter
Detecting Community Structure in Dynamic Social Networks Using the Concept of Leadership
Saeed Haji Seyed Javadi, Pedram Gharani, Shahram Khadivi
Detecting community structure in social networks is a fundamental problem empowering us to identify groups of actors with similar interests. There have been extensive works focusin…
Neural Machine Translation Leveraging Phrase-based Models in a Hybrid Search
Leonard Dahlmann, Evgeny Matusov, Pavel Petrushkov +1
In this paper, we introduce a hybrid search for attention-based neural machine translation (NMT). A target phrase learned with statistical MT models extends a hypothesis in the NMT…
Neural and Statistical Methods for Leveraging Meta-information in Machine Translation
Shahram Khadivi, Patrick Wilken, Leonard Dahlmann +1
In this paper, we discuss different methods which use meta information and richer context that may accompany source language input to improve machine translation quality. We focus…
Graph-Based Semi-Supervised Conditional Random Fields For Spoken Language Understanding Using Unaligned Data
Mohammad Aliannejadi, Masoud Kiaeeha, Shahram Khadivi +1
We experiment graph-based Semi-Supervised Learning (SSL) of Conditional Random Fields (CRF) for the application of Spoken Language Understanding (SLU) on unaligned data. The aligne…
Neural Machine Translation on Scarce-Resource Condition: A case-study on Persian-English
Mohaddeseh Bastan, Shahram Khadivi, Mohammad Mehdi Homayounpour
Neural Machine Translation (NMT) is a new approach for Machine Translation (MT), and due to its success, it has absorbed the attention of many researchers in the field. In this pap…