3CEL: A corpus of legal Spanish contract clauses

Information extraction (IE) is defined as the NLP task that deals with the identification of particular pieces of information in unstructured documents [1, 2, 3]. In other words, the main objective of IE is to spot predefined relevant information in raw text. IE includes different subtypes depending on the nature of the information to be extracted. Thus, Named Entity Recognition (NER), Co-Reference Resolution, Relation Extraction or Event Extraction are encompassed under the umbrella of IE [2]. IE encounters specific challenges, particularly with regard to data availability and the need for expert knowledge. First, access to raw data is limited depending on the target domain (e.g.