33 citations · 42 across the 6 of their papers we have counts for
6 papers · 1 filter
Distilling Knowledge for Fast Retrieval-based Chat-bots
Amir Vakili Tahami, Kamyar Ghajar, Azadeh Shakery
Response retrieval is a subset of neural ranking in which a model selects a suitable response from a set of candidates given a conversation history. Retrieval-based chat-bots are t…
Online News Media Website Ranking Using User Generated Content
Samaneh Karimi, Azadeh Shakery, Rakesh Verma
News media websites are important online resources that have drawn great attention of text mining researchers. The main aim of this study is to propose a framework for ranking onli…
Newswire versus Social Media for Disaster Response and Recovery
Rakesh Verma, Samaneh Karimi, Daniel Lee +2
In a disaster situation, first responders need to quickly acquire situational awareness and prioritize response based on the need, resources available and impact. Can they do this…
An Axiomatic Study of Query Terms Order in Ad-hoc Retrieval
Ayyoob Imani, Amir Vakili, Ali Montazer +1
Classic retrieval methods use simple bag-of-word representations for queries and documents. This representation fails to capture the full semantic richness of queries and documents…
Deep Neural Networks for Query Expansion using Word Embeddings
Ayyoob Imani, Amir Vakili, Ali Montazer +1
Query expansion is a method for alleviating the vocabulary mismatch problem present in information retrieval tasks. Previous works have shown that terms selected for query expansio…
SS4MCT: A Statistical Stemmer for Morphologically Complex Texts
Javid Dadashkarimi, Hossein Nasr Esfahani, Heshaam Faili +1
There have been multiple attempts to resolve various inflection matching problems in information retrieval. Stemming is a common approach to this end. Among many techniques for ste…