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Feature based approach for singer identification
(Dhirubhai Ambani Institute of Information and Communication Technology, 2012)
One of the challenging and difficult problems under the category of Music Information
Retrieval (MIR) is to identify a singer of a given song under strong instrumental
accompaniments. Besides instrumental sounds, other ...
Retrieval of legal documents using query expansion
(Dhirubhai Ambani Institute of Information and Communication Technology, 2014)
Structure of query by a lawyer and a layman is different. Legal content in the layman’s query is very less. Thus pre-processing of these queries is required for better retrieval performance.
In this thesis, we used ...
SMS query processing for information retrieval
(Dhirubhai Ambani Institute of Information and Communication Technology, 2012)
SMS text messaging is one of the fast and popular communication mode on mobile phones
these days. This study presents a query processing system for information retrieval system
when queries are Short-message-Service ...
Distant supervision for relation extraction
(Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
Relation Extraction(RE) is one of important task of Information Extraction. InformationExtraction is used to get data from natural language text. Relation extractionis done using different methods. Most techniques found ...
Document representation using extended locality preserving indexing
(Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
The main purpose of web search is to obtain the relevant information pertaining
to our need from the documents available on the Internet. Each term (word) in
a document contributes to a dimension. It is challenging to ...
Biomedical information retrieval
(Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
It is well known that the volume of biomedical literature is growing exponentially and that scientists are being overwhelmed when they sift through the scope and diversity of this unstructured knowledge to find relevant ...
Learning to rank: using Bayesian networks
(Dhirubhai Ambani Institute of Information and Communication Technology, 2011)
Ranking is one of the key components of an Information Retrieval system. Recently
supervised learning is involved for learning the ranking function and is called 'Learning to Rank' collectively. In this study we present ...