= DeepER Entity Library =

DeepER Entity Library is a database containing around 900,000 entities, each described by its textual representations in Polish (names) and `WordNet` synsets. This resource has been originally created for deep entity recognition (DeepER) in Polish Question Answering System RAFAEL by analysing definitions in Polish Wikipedia [1,2]. A simplified version is also available, containing nominal groups instead of synsets.

'''Download main library''': [[attachment:entities.txt.gz]]

'''Download simplified library''': [[attachment:entitiesD.txt.gz]]

Created and made available by Piotr Przybyła.

== Main library ==
The library contains 809,786 entities with 1,169,452 names (972,592 unique) and 1,264,918 synsets (31,545 unique). Each of them consists of the following elements (entity #9751, describing Bronisław Komorowski):
 * Main name: Bronisław Komorowski,
 * Other names (aliases): Bronisław Maria Komorowski, Komorowski,
 * Description URL: http://pl.wikipedia.org/wiki/?curid=121267,
 * plWordNet 2.1 [3] synsets:
  * <podsekretarz1, podsekretarz stanu1, wiceminister1> (vice-minister, undersecretary),
  * <wicemarszałek1> (vice-speaker of the Sejm, the Polish parliament),
  * <polityk1> (politician),
  * <wysłannik1, poseł1, posłaniec2, wysłaniec1, posłannik1> (member of a parliament),
  * <marszałek1> (speaker of the Sejm),
  * <historyk1> (historian),
  * <minister1> (minister),
  * <prezydent1, prezydent miasta1> (president of a city, mayor).

Each line of the file corresponds to a single entity and has the following format:
{{{
<main_name><tab><article_name><tab><URL><tab><names_number(n)><tab><synsets_number(m)><tab><name_1><tab><name_2>...<tab><name_n><tab><synset_id_1><tab><synset_id_2>...<synset_id_m><tab><synset_repr_1><tab><synset_repr_2>...<synset_repr_m>
}}}
where:
 * synset_id corresponds to synset id in plWordNet 2.1,
 * synset_repr is a human-readable representation of a synset.

== Simplified library ==
The simplified version of the library instead of `WordNet` synsets contains nominal groups, from which they have been extracted. For example, the list for Bronisław Komorowski is the following:
 * wicemarszałek i marszałek Sejmu
 * minister obrony narodowej
 * wiceminister i minister obrony narodowej
 * marszałek Sejmu RP
 * polski polityk
 * poseł
 * prezydent RP
 * historyk

Therefore, each line has the following format:
{{{
<main_name><tab><article_name><tab><URL><tab><names_number(n)><tab><groups_number(m)><tab><name_1><tab><name_2>...<tab><name_n><tab><group_1><tab><group_2>...<group_m>
}}}

== References ==
[1] Przybyła, P. (2015). Gathering Knowledge for Question Answering Beyond Named Entities. Proceedings of the 20th International Conference on Application of Natural Language to Information Systems (NLDB 2015).

[2] Przybyła, P. (2014). Odpowiadanie na pytania w języku polskim z użyciem głębokiego rozpoznawania nazw. Doctoral thesis, Institute of Computer Science, Polish Academy of Sciences.

[3] Maziarz, M., Piasecki, M., and Szpakowicz, S. (2012). Approaching plWordNet 2.0. Proceedings of the 6th Global Wordnet Conference.