Name
Abstract | ||
|---|---|---|
We propose a pipeline for learning event templates from a large corpus of textual news articles. An event template is a machine-usable semantic data structure, in our case a graph, describing a certain event type. Most earthquake news reports, for example, semantically fit the template "x people dead, town y shook, at time z". Such templates can be used as an input for information extraction tasks or automated ontology extension. We also present preliminary results in the form of sample extracted templates from Google News articles. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/WI-IAT.2009.336 | Web Intelligence/IAT Workshops |
Keywords | Field | DocType |
constructing event templates,textual news article,present preliminary result,google news article,certain event type,earthquake news report,event template,information extraction task,machine-usable semantic data structure,large corpus,automated ontology extension,statistics,data structures,data structure,pipelines,ontologies,information extraction,intelligent agent,data mining | Ontology (information science),Data structure,Data mining,Graph,Intelligent agent,Information retrieval,Event type,Computer science,Information extraction,Template,Semantic data model | Conference |
Citations | PageRank | References |
2 | 0.38 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mitja Trampus | 1 | 4 | 1.79 |
| Dunja Mladenic | 2 | 1484 | 170.14 |