Search Results for author:
Found 3 papers, 0 papers with code
Leveraging pre-trained language models for conversational information seeking from text
Recent advances in Natural Language Processing, and in particular on the construction of very large pre-trained language representation models, is opening up new perspectives on the construction of conversational information seeking (CIS) systems.
PET: A new Dataset for Process Extraction from Natural Language Text
Although there is a long tradition of work in NLP on extracting entities and relations from text, to date there exists little work on the acquisition of business processes from unstructured data such as textual corpora of process descriptions.
Process Extraction from Text: state of the art and challenges for the future
Automatic Process Discovery aims at developing algorithmic methodologies for the extraction and elicitation of process models as described in data.
