Revisiting Shallow Discourse Parsing in the PDTB-3: Handling Intra-sentential Implicits
This work addresses a specific challenge in natural language processing for discourse analysis, but it is incremental as it builds on existing parsing methods for new data.
The paper tackled the problem of parsing intra-sentential implicit discourse relations in the PDTB-3 corpus, where arguments are not well-defined, and reported model performance under various scenarios with concrete numbers.
In the PDTB-3, several thousand implicit discourse relations were newly annotated \textit{within} individual sentences, adding to the over 15,000 implicit relations annotated \textit{across} adjacent sentences in the PDTB-2. Given that the position of the arguments to these \textit{intra-sentential implicits} is no longer as well-defined as with \textit{inter-sentential implicits}, a discourse parser must identify both their location and their sense. That is the focus of the current work. The paper provides a comprehensive analysis of our results, showcasing model performance under different scenarios, pointing out limitations and noting future directions.