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First of all, this paper explores the use of different corpus-based lexical co-occurrence approaches to select an optimal combination of query terms from a pool of terms obtained using pseudo-feedback based QE. Next, we explore semantic similarity approach based on word2vec for ranking the QE terms obtained from top pseudo-feedback documents. Further, we combine co-occurrence statistics, contextual window statistics, and semantic similarity based approaches together to select the best expansion terms for query reformulation. The experiments were performed on FIRE ad-hoc and TREC-3 benchmark datasets. The statistics of our proposed experimental results show significant improvement over baseline method.<\/jats:p>","DOI":"10.4018\/ijiit.2017070104","type":"journal-article","created":{"date-parts":[[2017,5,12]],"date-time":"2017-05-12T10:11:15Z","timestamp":1494583875000},"page":"57-78","source":"Crossref","is-referenced-by-count":53,"title":["Lexical Co-Occurrence and Contextual Window-Based Approach with Semantic Similarity for Query Expansion"],"prefix":"10.4018","volume":"13","author":[{"given":"Jagendra","family":"Singh","sequence":"first","affiliation":[{"name":"Jawaharlal Nehru University, School of Computer and System Sciences, New Delhi, India"}]},{"given":"Rakesh","family":"Kumar","sequence":"additional","affiliation":[{"name":"Jawaharlal Nehru University, School of Computer and System Sciences, New Delhi, India"}]}],"member":"2432","reference":[{"key":"IJIIT.2017070104-0","doi-asserted-by":"publisher","DOI":"10.4018\/IJIIT.2016070104"},{"key":"IJIIT.2017070104-1","doi-asserted-by":"publisher","DOI":"10.4018\/IJIIT.2016070103"},{"key":"IJIIT.2017070104-2","doi-asserted-by":"publisher","DOI":"10.1145\/2071389.2071390"},{"key":"IJIIT.2017070104-3","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4020-3005-5"},{"key":"IJIIT.2017070104-4","doi-asserted-by":"publisher","DOI":"10.1177\/0165551513519240"},{"key":"IJIIT.2017070104-5","doi-asserted-by":"publisher","DOI":"10.4018\/IJIIT.2016010104"},{"key":"IJIIT.2017070104-6","first-page":"265","author":"C.Leacock","year":"1998","journal-title":"Combining local context and WordNet similarity for word sense identification in WordNet. 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