We present a corpus for protest event mining that combines token-level annotation with the event schema and ontology of entities and events from protest research in the social sciences. The dataset uses newswire reports from the English Gigaword corpus. The token-level annotation is inspired by annotation standards for event extraction, in particular that of the Automated Content Extraction 2005 corpus (Walker et al., 2006). Domain experts perform the entire annotation task. We report competitive intercoder agreement results
Wiedemann G, Haunss S, Dollbaum JM, Daphi P, Meier LD. A Generalizing Approach to Protest Event Dete...
This workshop is the fourth issue of a series of workshops on automatic extraction of sociopolitical...
sta tesis aborda el problema de la cualidad de recopilación automática de datos sobre protestas y pr...
Workshop at 2016 Conference on Empirical Methods in Natural Language Processing (5 November 2016)We ...
We present a corpus for protest event mining that combines token-level annotation with the event sch...
2019 has been characterized by worldwide waves of protests. Each country’s protests is different but...
2019 has been characterized by worldwide waves of protests. Each country’s protests is different but...
We analyze the effect of further retraining BERT with different domain specific data as an unsupervi...
Protest event analysis is a key method to study social movements, allowing to systematically analyze...
Despite the importance of understanding causality, corpora addressing causal relations are limited. ...
In this paper, we present CrudeOilNews, a corpus of English Crude Oil news for event extraction. It ...
For now more than four decades, quantitative protest event analysis (PEA) has routinely contributed ...
<p>The focus of this paper is on how events can be detected & extracted from natural language text, ...
International audienceWe study the extraction and reorganization of event-related information in tex...
We analyze the effect of further retraining BERT with different domain specific data as an unsupervi...
Wiedemann G, Haunss S, Dollbaum JM, Daphi P, Meier LD. A Generalizing Approach to Protest Event Dete...
This workshop is the fourth issue of a series of workshops on automatic extraction of sociopolitical...
sta tesis aborda el problema de la cualidad de recopilación automática de datos sobre protestas y pr...
Workshop at 2016 Conference on Empirical Methods in Natural Language Processing (5 November 2016)We ...
We present a corpus for protest event mining that combines token-level annotation with the event sch...
2019 has been characterized by worldwide waves of protests. Each country’s protests is different but...
2019 has been characterized by worldwide waves of protests. Each country’s protests is different but...
We analyze the effect of further retraining BERT with different domain specific data as an unsupervi...
Protest event analysis is a key method to study social movements, allowing to systematically analyze...
Despite the importance of understanding causality, corpora addressing causal relations are limited. ...
In this paper, we present CrudeOilNews, a corpus of English Crude Oil news for event extraction. It ...
For now more than four decades, quantitative protest event analysis (PEA) has routinely contributed ...
<p>The focus of this paper is on how events can be detected & extracted from natural language text, ...
International audienceWe study the extraction and reorganization of event-related information in tex...
We analyze the effect of further retraining BERT with different domain specific data as an unsupervi...
Wiedemann G, Haunss S, Dollbaum JM, Daphi P, Meier LD. A Generalizing Approach to Protest Event Dete...
This workshop is the fourth issue of a series of workshops on automatic extraction of sociopolitical...
sta tesis aborda el problema de la cualidad de recopilación automática de datos sobre protestas y pr...