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Recognizing spatial information associated with events expressed in natural language text is essential for the proper interpretation of such events. However, the associations between events and spatial information found throughout …...

AbstractThis paper presents a framework and methodology for the annotation of perspectives in text. In the last decade, different aspects of linguistic encoding of perspectives have been targeted as separated …...

Our experiments rely on a combination of machine-learning (CRF) and rule-based (Hei- delTime) systems. First, a CRF system iden- tifies both EVENTS and TIMEX3, along with polarity values for EVENT …...

With the continuous growth of benchmark corpora, which often annotate the same documents, there is a range of opportunities to compare and combine similar and complementary annotations. However, these opportunities …...

AbstractAs the sources of information that we consume everyday rapidly diversify, it is becoming increasingly important to develop NLP tools that help to evaluate the credibility of the information we …...

AbstractIn this paper, we present NEREL, a Russian dataset for named entity recognition and relation extraction. NEREL is significantly larger than existing Russian datasets: to date it contains 56K annotated …...

AbstractIn this paper, we present CrudeOilNews, a corpus of English Crude Oil news for event extraction. It is the first of its kind for Commodity News and serves to contribute …...

AbstractThe paper describes the Bulgarian Event Corpus (BEC). The annotation scheme is based on CIDOC-CRM ontology and on the English Framenet, adjusted for our task. It includes two main layers: …...