Hybrid Approach to PDTB-styled Discourse Parsing for CoNLL-2015

DA-IICT Submission for PDTB-styled Discourse Parser

GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains

Work on shallow discourse parsing in English has focused on the Wall Street Journal corpus, the only large-scale dataset for the language in the PDTB framework. However, the data is not openly available, is restricted to…

On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification

Implicit discourse relation classification is one of the most difficult parts in shallow discourse parsing as the relation prediction without explicit connectives requires the language understanding at both the text span…

Shallow Discourse Parsing for Under-Resourced Languages: Combining Machine Translation and Annotation Projection

Shallow Discourse Parsing (SDP), the identification of coherence relations between text spans, relies on large amounts of training data, which so far exists only for English - any other language is in this respect an und…

Annotating Discourse Relations in Spoken Language: A Comparison of the PDTB and CCR Frameworks

In discourse relation annotation, there is currently a variety of different frameworks being used, and most of them have been developed and employed mostly on written data. This raises a number of questions regarding int…