Event-based Access to Historical Italian War Memoirs
The progressive digitization of historical archives provides new, often domain specific, textual resources that report on facts and events which have happened in the past; among these, memoirs are a very common type of primary source. In this paper, we present an approach for extracting information from Italian historical war memoirs and turning it into structured knowledge. This is based on the semantic notions of events, participants and roles. We evaluate quantitatively each of the key-steps of our approach and provide a graph-based representation of the extracted knowledge, which allows to move between a Close and a Distant Reading of the collection.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
EventNet-ITA: Italian Frame Parsing for Events
This paper introduces EventNet-ITA, a large, multi-domain corpus annotated full-text with event frames for Italian. Moreover, we present and thoroughly evaluate an efficient multi-label sequence labeling approach for Fra…
``Voices of the Great War'': A Richly Annotated Corpus of Italian Texts on the First World War
{``}Voices of the Great War{''} is the first large corpus of Italian historical texts dating back to the period of First World War. This corpus differs from other existing resources in several respects. First, from the l…
IT-DPC-SRI: A Cloud-Optimized Archive of Italian Radar Precipitation (2010-2025)
We present IT-DPC-SRI, the first publicly available long-term archive of Italian weather radar precipitation estimates, spanning 16 years (2010--2025). The dataset contains Surface Rainfall Intensity (SRI) observations f…
The ProLiFIC dataset: Leveraging LLMs to Unveil the Italian Lawmaking Process
Process Mining (PM), initially developed for industrial and business contexts, has recently been applied to social systems, including legal ones. However, PM's efficacy in the legal domain is limited by the accessibility…
Transfer Learning for a Letter-Ngrams to Word Decoder in the Context of Historical Handwriting Recognition with Scarce Resources
Lack of data can be an issue when beginning a new study on historical handwritten documents. In order to deal with this, we present the character-based decoder part of a multilingual approach based on transductive transf…
DecoderHandwriting RecognitionInformation RetrievalKeyword Spotting+3