Using Deep-Learned Vector Representations for Page Stream Segmentation by Agglomerative Clustering

Autor: Lukas Busch, Ruben van Heusden, Maarten Marx

Publikováno v: Algorithms, Vol 16, Iss 5, p 259 (2023)

Page stream segmentation (PSS) is the task of retrieving the boundaries that separate source documents given a consecutive stream of documents (for example, sequentially scanned PDF files). The task has recently gained more interest as a result of th

Externí odkaz: https://doaj.org/article/cf01ef750231449994af2e0c025d0dbd

The ParlaMint corpora of parliamentary proceedings

Autor: Tomaž Erjavec, Maciej Ogrodniczuk, Petya Osenova, Nikola Ljubešić, Kiril Simov, Andrej Pančur, Michał Rudolf, Matyáš Kopp, Starkaður Barkarson, Steinþór Steingrímsson, Çağrı Çöltekin, Jesse de Does, Katrien Depuydt, Tommaso Agnoloni, Giulia Venturi, María Calzada Pérez, Luciana D. de Macedo, Costanza Navarretta, Giancarlo Luxardo, Matthew Coole, Paul Rayson, Vaidas Morkevičius, Tomas Krilavičius, Roberts Darǵis, Orsolya Ring, Ruben van Heusden, Maarten Marx, Darja Fišer

Publikováno v: Language Resources and Evaluation

This paper presents the ParlaMint corpora containing transcriptions of the sessions of the 17 European national parliaments with half a billion words. The corpora are uniformly encoded, contain rich meta-data about 11 thousand speakers, and are lingu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bbea0cd481932bbfa77d2ec244ba9ce
https://doi.org/10.1007/s10579-021-09574-0

WooIR

Autor: Ruben van Heusden, Jaap Kamps, Maarten Marx

Publikováno v: Proceedings of the 2022 ACM SIGIR International Conference on Theory of Information Retrieval.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::04aa6c4960b1ef976263a0544b97069d
https://doi.org/10.1145/3539813.3545150

ParlaMint: Comparable Corpora of European Parliamentary Data

Autor: Tomaž Erjavec, Maciej Ogrodniczuk, Petya Osenova, Petya Petya Osenova, Andrej Pancur, Nikola Ljubešic, Tommaso Agnoloni, StarkaDur Barkarson, María Calzada Pérez, Çagrı Çöltekin, Matthew Coole, Roberts Dargis, Macedo, Luciana D., Jesse de Does, Katrien Depuydt, Sascha Diwersy, Dorte Haltrup Hansen, Matyáš Kopp, Tomas Krilavicius, Giancarlo Luxardo, Maarten Marx, Vaidas Morkevicius, Costanza Navarretta, Paul Rayson, Orsolya Ring, Michał Rudolf, Kiril Simov, Steinþór Steingrímsson, István Üveges, Ruben van Heusden, Giulia Venturi

Publikováno v: Erjavec, T, Ogrodniczuk, M, Osenova, P, Petya Osenova, P, Pancur, A, Ljubešic, N, Agnoloni, T, Barkarson, S, Calzada Pérez, M, Çöltekin, Ç, Coole, M, Dargis, R, de Macedo, L D, de Does, J, Depuydt, K, Diwersy, S, Hansen, D H, Kopp, M, Krilavicius, T, Luxardo, G, Marx, M, Morkevicius, V, Navarretta, C, Rayson, P, Ring, O, Rudolf, M, Simov, K, Steingrímsson, S, Üveges, I, van Heusden, R & Venturi, G 2021, ParlaMint: Comparable Corpora of European Parliamentary Data . in Proceedings of CLARIN Annual Conference 2021 . CLARIN ERIC, pp. 19-24 . < https://office.clarin.eu/v/CE-2021-1923-CLARIN2021_ConferenceProceedings.pdf >
University of Copenhagen

This paper outlines the ParlaMint project from the perspective of its goals, tasks, participants, results and applications potential. The project produced language corpora from the sessions of the national parliaments of 17 countries, almost half a b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4bc2f2116434532a5afc10e6928e202c
https://curis.ku.dk/ws/files/321465715/CE_2021_1923_CLARIN2021_ConferenceProceedings.pdf