TY - GEN
T1 - The 5th International Workshop on Narrative Extraction from Texts
T2 - 44th European Conference on Information Retrieval, ECIR 2022
AU - Campos, Ricardo
AU - Jorge, Alípio
AU - Jatowt, Adam
AU - Bhatia, Sumit
AU - Litvak, Marina
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - Narrative extraction, understanding, verification, and visualization are currently popular topics for users interested in achieving a deeper understanding of text, researchers who want to develop accurate methods for text mining, and commercial companies that strive to provide efficient tools for that. Information Retrieval (IR), Natural Language Processing (NLP), Machine Learning (ML) and Computational Linguistics (CL) already offer many instruments that aid the exploration of narrative elements in text and within unstructured data. Despite evident advances in the last couple of years, the problem of automatically representing narratives in a structured form and interpreting them, beyond the conventional identification of common events, entities and their relationships, is yet to be solved. This workshop held virtually on April 10th, 2022 in conjunction with the 44th European Conference on Information Retrieval (ECIR’22) aims at presenting and discussing current and future directions for IR, NLP, ML and other computational linguistics-related fields capable of improving the automatic understanding of narratives. It includes sessions devoted to research, demo, position papers, work-in-progress, project description, nectar, and negative results papers, keynote talks and space for an informal discussion of the methods, of the challenges and of the future of this research area.
AB - Narrative extraction, understanding, verification, and visualization are currently popular topics for users interested in achieving a deeper understanding of text, researchers who want to develop accurate methods for text mining, and commercial companies that strive to provide efficient tools for that. Information Retrieval (IR), Natural Language Processing (NLP), Machine Learning (ML) and Computational Linguistics (CL) already offer many instruments that aid the exploration of narrative elements in text and within unstructured data. Despite evident advances in the last couple of years, the problem of automatically representing narratives in a structured form and interpreting them, beyond the conventional identification of common events, entities and their relationships, is yet to be solved. This workshop held virtually on April 10th, 2022 in conjunction with the 44th European Conference on Information Retrieval (ECIR’22) aims at presenting and discussing current and future directions for IR, NLP, ML and other computational linguistics-related fields capable of improving the automatic understanding of narratives. It includes sessions devoted to research, demo, position papers, work-in-progress, project description, nectar, and negative results papers, keynote talks and space for an informal discussion of the methods, of the challenges and of the future of this research area.
UR - http://www.scopus.com/inward/record.url?scp=85128736627&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-99739-7_68
DO - 10.1007/978-3-030-99739-7_68
M3 - Conference contribution
AN - SCOPUS:85128736627
SN - 9783030997380
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 552
EP - 556
BT - Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Proceedings
A2 - Hagen, Matthias
A2 - Verberne, Suzan
A2 - Macdonald, Craig
A2 - Seifert, Christin
A2 - Balog, Krisztian
A2 - Nørvåg, Kjetil
A2 - Setty, Vinay
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 10 April 2022 through 14 April 2022
ER -