In recent years, larger and deeper models are springing up and continuously pushing state-
of-the-art (SOTA) results across various fields like natural language processing (NLP) and …

Text preprocessing is not only an essential step to prepare the corpus for modeling but also
a key area that directly affects the natural language processing (NLP) application results. For …

Understanding discourse relies to a great extent on correctly interpreting relations holding
between the eventualities and facts mentioned in discourse. These discourse relations, such …

Since the release of the large discourse-level annotation of the Penn Discourse Treebank
(PDTB), research work has been carried out on certain subtasks of this annotation, such as …

Clauses and sentences rarely stand on their own in an actual discourse; rather, the
relationship between them carries important information that allows the discourse to express …

An increasing number of researchers and practitioners in Natural Language Engineering
face the prospect of having to work with entire texts, rather than individual sentences. While …

Abstract The Penn Discourse Treebank (PDTB) was released to the public in 2008. It
remains the largest manually annotated corpus of discourse relations to date. Its focus on …

The CoNLL-2015 shared task focuses on shallow discourse parsing, which takes a piece of
newswire text as input and returns the discourse relations in a PDTB style. In this paper, we …

We propose a complete probabilistic discriminative framework for performing sentencelevel
discourse analysis. Our framework comprises a discourse segmenter, based on a binary …

Thirukkural is one of the famous Tamil Literatures in the world. It was written by
Thiruvalluvar, and focuses on ethics and morality. It provides all possible solutions to lead a …