4 citations · 5 across the 2 of their papers we have counts for
4 papers
Listening between the Lines: Learning Personal Attributes from Conversations
Anna Tigunova, Andrew Yates, Paramita Mirza +1
Open-domain dialogue agents must be able to converse about many topics while incorporating knowledge about the user into the conversation. In this work we address the acquisition o…
Enriching Knowledge Bases with Counting Quantifiers
Paramita Mirza, Simon Razniewski, Fariz Darari +1
Information extraction traditionally focuses on extracting relations between identifiable entities, such as <Monterey, locatedIn, California>. Yet, texts often also contain Countin…
Cardinal Virtues: Extracting Relation Cardinalities from Text
Paramita Mirza, Simon Razniewski, Fariz Darari +1
Information extraction (IE) from text has largely focused on relations between individual entities, such as who has won which award. However, some facts are never fully mentioned,…
Extracting Temporal and Causal Relations between Events
Paramita Mirza
Structured information resulting from temporal information processing is crucial for a variety of natural language processing tasks, for instance to generate timeline summarization…