DA-IICT Submission for PDTB-styled Discourse Parser
Devanshu Jain, Prasenjit Majumder · 2016
The CONLL 2016 Shared task focusses on building a Shallow Discourse Parsing system, which is given a piece of newswire text as input and it returns all discourse relations in that text in the form of discourse connectives, its two arguments and the relation sense.We have built a parser for the same.We follow a pipeline architecture to build the system.We employ machine learning methods to train our classifiers for each component in the pipeline.The system achieves an overall F1 score of 0.1065 when tested on blind dataset provided by the task organisers.On the same dataset, for explicit relations, F1 score of 0.2067 is achieved, while for non explicit relations, an F1 score of 0.0112 is achieved.