activity
20172020
most citedTable2Vec: Neural Word and Entity Embeddings for Table Population and Retrieval

95 citations · 495 across the 21 of their papers we have counts for

collaborators

31 papers

cs.IR202011 cited

ArXivDigest: A Living Lab for Personalized Scientific Literature Recommendation

Kristian Gingstad, Øyvind Jekteberg, Krisztian Balog

Providing personalized recommendations that are also accompanied by explanations as to why an item is recommended is a research area of growing importance. At the same time, progre…

cs.IR20209 cited

Sanitizing Synthetic Training Data Generation for Question Answering over Knowledge Graphs

Trond Linjordet, Krisztian Balog

Synthetic data generation is important to training and evaluating neural models for question answering over knowledge graphs. The quality of the data and the partitioning of the da…

cs.IR202016 cited

IAI MovieBot: A Conversational Movie Recommender System

Javeria Habib, Shuo Zhang, Krisztian Balog

Conversational recommender systems support users in accomplishing recommendation-related goals via multi-turn conversations. To better model dynamically changing user preferences a…

cs.IR20205 cited

Generating Categories for Sets of Entities

Shuo Zhang, Krisztian Balog, Jamie Callan

Category systems are central components of knowledge bases, as they provide a hierarchical grouping of semantically related concepts and entities. They are a unique and valuable re…

cs.IR202084 cited

Evaluating Conversational Recommender Systems via User Simulation

Shuo Zhang, Krisztian Balog

Conversational information access is an emerging research area. Currently, human evaluation is used for end-to-end system evaluation, which is both very time and resource intensive…

cs.IR202059 cited

REL: An Entity Linker Standing on the Shoulders of Giants

Johannes M. van Hulst, Faegheh Hasibi, Koen Dercksen +2

Entity linking is a standard component in modern retrieval system that is often performed by third-party toolkits. Despite the plethora of open source options, it is difficult to f…