366 citations · 952 across the 45 of their papers we have counts for
6 papers · 1 filter
Large Language Model Augmented Narrative Driven Recommendations
Sheshera Mysore, Andrew McCallum, Hamed Zamani
Narrative-driven recommendation (NDR) presents an information access problem where users solicit recommendations with verbose descriptions of their preferences and context, for exa…
Answering Compositional Queries with Set-Theoretic Embeddings
Shib Dasgupta, Andrew McCallum, Steffen Rendle +1
The need to compactly and robustly represent item-attribute relations arises in many important tasks, such as faceted browsing and recommendation systems. A popular machine learnin…
Editable User Profiles for Controllable Text Recommendation
Sheshera Mysore, Mahmood Jasim, Andrew McCallum +1
Methods for making high-quality recommendations often rely on learning latent representations from interaction data. These methods, while performant, do not provide ready mechanism…
CSFCube -- A Test Collection of Computer Science Research Articles for Faceted Query by Example
Sheshera Mysore, Tim O'Gorman, Andrew McCallum +1
Query by Example is a well-known information retrieval task in which a document is chosen by the user as the search query and the goal is to retrieve relevant documents from a larg…
Using BibTeX to Automatically Generate Labeled Data for Citation Field Extraction
Dung Thai, Zhiyang Xu, Nicholas Monath +2
Accurate parsing of citation reference strings is crucial to automatically construct scholarly databases such as Google Scholar or Semantic Scholar. Citation field extraction (CFE)…
OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference
Dongxu Zhang, Subhabrata Mukherjee, Colin Lockard +2
In this paper, we consider advancing web-scale knowledge extraction and alignment by integrating OpenIE extractions in the form of (subject, predicate, object) triples with Knowled…