| References: [1] Bhattacharya, P., Ghosh, K., Ghosh, S., Pal, A., Mehta, P., Bhattacharya., A., Majumder, P. (2019). Overview of the Fire 2019 AILA track: Artificial Intelligence for Legal Assistance. In: Proc. of FIRE 2019 - Forum for Information Retrieval Evaluation, Kolkata, India, December 12-15.
[2] Singhal, Amit. (1996). Document length normalization. Information Processing & Management, 32.5, 619-633.
[3] Mihalcea, Rada., Tarau, Paul. (2004). Textrank: Bringing order into text. In: Proceedings of the 2004 conference on empirical methods in natural language processing. 404-411.
[4] Salton, Gerard., Wong, Anita., Yang, Chung-Shu. (1975). A vector space model for automatic indexing. Communications of the ACM 18.11, 613-620.
[5] Robertson, Stephen., Zaragoza, Hugo. (2009). The probabilistic relevance framework: BM25 and beyond. Foundations and Trends® in Information Retrieval 3.4, 333-389.
[6] Song, Fei., Croft, Bruce. W. (1999). A general language model for information retrieval. Proceedings of the eighth international conference on Information and knowledge management. ACM, 316-321.
[7] Chengxiang, Zhai., Lafferty, John. (2017). A study of smoothing methods for language models applied to ad hoc information retrieval. ACM SIGIR Forum. 51 (2). ACM, 268-276.
[8] McCandless, Michael., Hatcher, Erik., Gospodnetic, Otis. (2010). Lucene in action: covers Apache Lucene 3.0. Manning Publications Co., 2010.
[9] Ogilvie, Paul., Callan, Jamie. (2001). Experiments using the Lemur toolkit. TREC. Vol. 10. 103-108. |
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