cross-document-coreference-resolution | Design algorithms for cross document coreference resolution

cross-document-coreference-resolution is a Java library. cross-document-coreference-resolution has no bugs, it has no vulnerabilities and it has low support. However cross-document-coreference-resolution build file is not available and it has a Non-SPDX License. You can download it from GitHub.

This is a cross document coreference resolution system written in java. Stanford coreference resolution system is a within document coreference resolution system. Hence, the essential data class is called Document. In the Document class, there are a lot of fields to represent the document information, such as gold ordered mentions by sentence, predicted orded mentions by sentence, predicted coreference clusters, gold coreference clusters, all predicted mentions, all gold mentions. Hence, in order to use stanford coreference resolution system, the very important task is to process each EECB file into a Document object. The example I am imitating is the stanford ACE 2005 machine reading sub-system. For the ACE 2005 corpus, there are two files related with one document, one is key.apf.xml and the other is raw.sgm. They constructed another class called AceDocument to perform the similar role as Document class. The AceDocument class is to represent the gold annotations, for example, AceEntityMention by sentences and AceEventMention by sentences, all AceEntityMention and all AceEventMention. Combined with the predicted mentions processed by Rulebased mention detection component, they changed the AcdDocument object to Document object. Based on the formed Document class, the system does coreference resolution.