@inproceedings{534d0b18dcce481ba2627a013821d7f5,
title = "Applications of Tf-idf concept to improve monolingual and cross-language information retrieval based on word embeddings",
abstract = "This work applied word embeddings for English monolingual information retrieval and Dutch-English cross-language information retrieval. Besides word embeddings, this work also applied tf-idf concept to increase result of relevant documents. We present experiments using four techniques adapted from tf-idf concept. The result showed additional techniques could increase MAP score up to 26.6% in monolingual information retrieval and up to 26.2% in cross-language information retrieval compare with monolingual information retrieval and cross-language information retrieval using average vectors technique only.",
keywords = "Cross-Language Information Retrieval, Cross-Lingual Word Embeddings, Monolingual Information Retrieval, Tf-Idf, Word Embeddings",
author = "Syandra Sari and Mirna Adriani",
note = "Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; 2019 International Conference on Advanced Information Science and System, AISS 2019 ; Conference date: 15-11-2019 Through 17-11-2019",
year = "2019",
month = nov,
day = "15",
doi = "10.1145/3373477.3373493",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
booktitle = "Proceedings of the International Conference on Advanced Information Science and System, AISS 2019",
address = "United States",
}