1.4k citations · 4.5k across the 58 of their papers we have counts for
3 papers · 2 filters
Modeling Dynamic Relationships Between Characters in Literary Novels
Snigdha Chaturvedi, Shashank Srivastava, Hal Daume +1
Studying characters plays a vital role in computationally representing and interpreting narratives. Unlike previous work, which has focused on inferring character roles, we focus o…
Parser for Abstract Meaning Representation using Learning to Search
Sudha Rao, Yogarshi Vyas, Hal Daume +1
We develop a novel technique to parse English sentences into Abstract Meaning Representation (AMR) using SEARN, a Learning to Search approach, by modeling the concept and the relat…
Learning to Search for Dependencies
Kai-Wei Chang, He He, Hal Daumé +1
We demonstrate that a dependency parser can be built using a credit assignment compiler which removes the burden of worrying about low-level machine learning details from the parse…