SEUNIPD@CLEF: Team JIHUMING on Enhancing Search Engine Performance with Character N-Grams, Query Expansion, and Named Entity Recognition.
Isil AtabekHuimin ChenJesús Moncada-RamírezNicolò SantiniGiovanni ZagoNicola FerroPublished in: CLEF (Working Notes) (2023)
Keyphrases
- query expansion
- named entity recognition
- search engine
- character n grams
- information retrieval
- text summarization
- information extraction
- n gram
- language model
- cross language
- named entities
- text retrieval
- natural language processing
- question answering
- information retrieval systems
- retrieval effectiveness
- language modeling
- cross language information retrieval
- maximum entropy
- conditional random fields
- semi supervised
- pseudo relevance feedback
- query terms
- web search
- web search engines
- relevant documents
- retrieval model
- keywords
- web documents
- text mining
- relevance feedback
- information access
- cross lingual
- web pages
- document retrieval
- user queries
- information seeking
- query translation
- language independent
- artificial intelligence
- relevance model
- vector space model
- probabilistic model
- retrieval systems
- generative model
- supervised learning