Toward comprehensive event collections

Nanni, Federico; Ponzetto, Simone Paolo; Dietz, Laura

doi:10.1007/s00799-018-0246-x

Cited by 3 publications

(3 citation statements)

References 44 publications

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“…As discussed in our previous work, we rely on the fact that in Wikipedia's Manual of Style and Linking, contributors are encouraged to point hyperlinks to the specific section/aspect addressed in text when present on the entity page. In order to leverage this data, we use OPIEC 5 [3] -the largest OIE corpus to date, containing more than 341M OIE triples -which was created by running MinIE [2] on the entire English Wikipedia. OPIEC retains the golden entity and entity-aspect links from within the Wikipedia articles (which have been created by Wikipedia contributors).…”

Section: Dataset (Eal-d)mentioning

confidence: 99%

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EAL: A Toolkit and Dataset for Entity-Aspect Linking

Nanni

Zhang

Betz

et al. 2019

2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL)

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We present a toolkit and dataset for entity-aspect linking. The tool takes as input a sentence and provides the most relevant aspect for each mentioned entity; it is implemented in Python and available as a script and via an online demo. It is accompanied by the first large dataset of entity-aspects, comprising more than 20,000 entities manually linked to the most relevant aspect, given a sentence as context. Each is expressed in structured manner as Open Information Extraction (OIE) triples (Subject, Relation, Object), having semantic information for polarity, modality, quantity and attributions.

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Section: Dataset (Eal-d)mentioning

confidence: 99%

“…In our research, we have shown that using entity-aspect linking leads to significant and consistent improvements on different entity prediction and categorization tasks relevant for the digital library community [4,5].…”

Section: Introductionmentioning

confidence: 99%

EAL: A Toolkit and Dataset for Entity-Aspect Linking

Nanni

Zhang

Betz

et al. 2019

2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL)

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“…However, we adapted Gossen's categorization of events as either planned or unexpected, and we renamed planned to expected (Table 2). Similar to Gossen et al, Nanni et al [21] presented an approach for extracting event-centric sub-collection from Web Archives. Their method extracts documents not only related to the input event, but also documents describing related events (e.g., premises and consequences).…”

Section: Acronym Post Count Author Countmentioning

confidence: 99%

Using Micro-Collections in Social Media to Generate Seeds for Web Archive Collections

Nwala

Weigle

Nelson

2019

2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL)

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In a Web plagued by disappearing resources, Web archive collections provide a valuable means of preserving Web resources important to the study of past events ranging from elections to disease outbreaks. These archived collections start with seed URIs (Uniform Resource Identifiers) hand-selected by curators. Curators produce high quality seeds by removing non-relevant URIs and adding URIs from credible and authoritative sources, but it is time consuming to collect these seeds. Two main strategies adopted by curators for discovering seeds include scraping Web (e.g., Google) Search Engine Result Pages (SERPs) and social media (e.g., Twitter) SERPs. In this work, we studied three social media platforms in order to provide insight on the characteristics of seeds generated from different sources. First, we developed a simple vocabulary for describing social media posts across different platforms. Second, we introduced a novel source for generating seeds from URIs in the threaded conversations of social media posts created by single or multiple users. Users on social media sites routinely create and share posts about news events consisting of hand-selected URIs of news stories, tweets, videos, etc. In this work, we call these posts micro-collections, and we consider them as an important source for seeds because the effort taken to create micro-collections is an indication of editorial activity, and a demonstration of domain expertise. Third, we generated 23,112 seed collections with text and hashtag queries from 449,347 social media posts from Reddit, Twitter, and Scoop.it. We collected in total 120,444 URIs from the conventional scraped SERP posts and micro-collections. We characterized the resultant seed collections across multiple dimensions including the distribution of URIs, precision, ages, diversity of webpages, etc. We showed that seeds generated by scraping SERPs had a higher median probability (0.63) of producing relevant URIs than micro-collections (0.5). However, micro-collections were more likely to produce seeds with a higher precision than conventional SERP collections for Twitter collections generated with hashtags. Also, micro-collections were more likely to produce older webpages and more non-HTML documents.

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Event-based Access to Historical Italian War Memoirs

Rovera

Nanni

Ponzetto

2021

J. Comput. Cult. Herit.

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The progressive digitization of historical archives provides new, often domain-specific, textual resources that report on facts and events that have happened in the past; among these, memoirs are a very common type of primary source. In this article, 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.

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Toward comprehensive event collections

Cited by 3 publications

References 44 publications

EAL: A Toolkit and Dataset for Entity-Aspect Linking

EAL: A Toolkit and Dataset for Entity-Aspect Linking

Using Micro-Collections in Social Media to Generate Seeds for Web Archive Collections

Event-based Access to Historical Italian War Memoirs

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