Advances in Information Retrieval and Natural Language Processing
Information retrieval (IR) is finding material (usually documents) of an unstructured nature (usually text) that satisfies an information need from within large collections (usually stored on computers). The topic includes areas such as retrieval models, cross-lingual retrieval, Web search, crawlers, user modeling, filtering, topic detection and tracking, classification, summarization, question answering, metasearch, distributed retrieval, multimedia retrieval, information extraction and natural language processing. This session calls for good quality papers from academia and industry professionals that provide a vision to the world for further research. Original research papers, practical applications, case studies and state of the art reviews will be accepted.