no code implementations • ICON 2021 • Nidhi Arora, Rashmi Prasad, Srinivas Bangalore
Designing robust conversation systems with great customer experience requires a team of design experts to think of all probable ways a customer can interact with the system and then author responses for each use case individually.
1 code implementation • NAACL 2021 • Brian Lester, Sagnik Ray Choudhury, Rashmi Prasad, Srinivas Bangalore
Complex natural language understanding modules in dialog systems have a richer understanding of user utterances, and thus are critical in providing a better user experience.
no code implementations • WS 2019 • Bonnie Webber, Rashmi Prasad, Alan Lee
Discourse connectives are known to be subject to both usage and sense ambiguity, as has already been discussed in the literature.
no code implementations • WS 2017 • Rashmi Prasad, Katherine Forbes Riley, Alan Lee
To this end, we address a significant gap in the inter-sentential discourse relations annotated in the Penn Discourse Treebank (PDTB), namely the class of cross-paragraph implicit relations, which account for 30{\%} of inter-sentential relations in the corpus.
no code implementations • COLING 2016 • Alan Lee, Rashmi Prasad, Bonnie Webber, Aravind K. Joshi
The PDTB Annotator is a tool for annotating and adjudicating discourse relations based on the annotation framework of the Penn Discourse TreeBank (PDTB).
no code implementations • LREC 2012 • Sudheer Kolachina, Rashmi Prasad, Dipti Misra Sharma, Aravind Joshi
While the proposed modifications were driven by the desire to introduce greater conceptual clarity in the PDTB scheme and to facilitate better annotation quality, our findings indicate that overall, some of the changes render the annotation task much more difficult for the annotators, as also reflected in lower inter-annotator agreement for the relevant sub-tasks.