SinoBerryPicker is a Chinese coreference resolution tool.
Given raw text, an end-to-end coreference system retrieves coreference chains in the text.
For text preprocess and feature generation, SinoBerryPicker relies on the following two tools:
1. Stanford CoreNLP Chinese Package
2. CRF++
Above two tools are also included in our software package for your convenience.
Click here for the
code.
Linguistically Aware Coreference Evaluation Tool
As all the commonly-used evaluation metrics for entity coreference resolution are linguistically agnostic, treating
the mentions to be clustered as generic rather than linguistic objects. We propose a framework for incorporating
linguistic awareness into commonly-used coreference evaluation metrics.
We implemented the Linguistically-Aware version for MUC, B3 and CEAF.
Click here for the
code.
SinoCoreferencer: An End-to-End Chinese Event Coreference Resolver
SinoCoreferencer is an end-to-end Chinese event coreference resolver.
Given raw document(s) written in Chinese, it finally produces event coreference chains within each document.
Additional, it also outputs some by-products: (1) entity mentions; (2) semantic type and subtype of entity mentions;
(3) time and value expressions; (4) entity coreference chains; (5) events including triggers, trigger type, arguments and arguments role;
and (6) the polarity, modality, genericity and tense of the events.
Click here for the
code.