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Found 13 papers, 1 papers with code
DialogActs based Search and Retrieval for Response Generation in Conversation Systems
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.
Intent Features for Rich Natural Language Understanding
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.
Ambiguity in Explicit Discourse Connectives
Discourse connectives are known to be subject to both usage and sense ambiguity, as has already been discussed in the literature.
Towards Full Text Shallow Discourse Relation Annotation: Experiments with Cross-Paragraph Implicit Relations in the PDTB
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.
Annotating Discourse Relations with the PDTB Annotator
The PDTB Annotator is a tool for annotating and adjudicating discourse relations based on the annotation framework of the Penn Discourse TreeBank (PDTB).
Evaluation of Discourse Relation Annotation in the Hindi Discourse Relation Bank
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.
