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@inproceedings{1585240, author = {Sojka, Petr and Novotný, Vít and Ayetiran, Eniafe Festus and Lupták, Dávid and Štefánik, Michal}, address = {Brno}, booktitle = {Proceedings of the Thirteenth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2019}, editor = {Aleš Horák and Pavel Rychlý and Adam Rambousek}, keywords = {math information retrieval; question answering; STEM; digital mathematical libraries; embeddings; MIaS; MIaSNG; DML}, howpublished = {tištěná verze "print"}, language = {eng}, location = {Brno}, isbn = {978-80-263-1517-9}, pages = {117-128}, publisher = {Tribun EU}, title = {Quo Vadis, Math Information Retrieval}, url = {http://raslan2019.nlp-consulting.net/}, year = {2019} }
TY - JOUR ID - 1585240 AU - Sojka, Petr - Novotný, Vít - Ayetiran, Eniafe Festus - Lupták, Dávid - Štefánik, Michal PY - 2019 TI - Quo Vadis, Math Information Retrieval PB - Tribun EU CY - Brno SN - 9788026315179 KW - math information retrieval KW - question answering KW - STEM KW - digital mathematical libraries KW - embeddings KW - MIaS KW - MIaSNG KW - DML UR - http://raslan2019.nlp-consulting.net/ N2 - With the exponential growth of information in the digital form, information retrieval and querying digital libraries is of paramount importance, and mathematical and technical STEM documents are not an exception. The key for precise searching is the adequate and unambiguous representation of documents, paragraphs, sentences and words, which we are going to evaluate. We are presenting a roadmap to tackle the problem of searching and question answering in the digital mathematical libraries, and discuss the pros and cons of promising approaches primarily for the key part, namely the document representation: several types of embeddings, topic mixtures and LSTM. The listed representation learning options will be evaluated at the next ARQMath evaluation lab of CLEF 2020 conference. ER -
SOJKA, Petr, Vít NOVOTNÝ, Eniafe Festus AYETIRAN, Dávid LUPTÁK a Michal ŠTEFÁNIK. Quo Vadis, Math Information Retrieval. In Aleš Horák and Pavel Rychlý and Adam Rambousek. \textit{Proceedings of the Thirteenth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2019}. Brno: Tribun EU, 2019, s.~117-128. ISBN~978-80-263-1517-9.
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