13 citations · 41 across the 15 of their papers we have counts for
5 papers · 1 filter
Exploring Multi-Table Retrieval Through Iterative Search
Allaa Boutaleb, Bernd Amann, Rafael Angarita +1
Open-domain question answering over datalakes requires retrieving and composing information from multiple tables, a challenging subtask that demands semantic relevance and structur…
Something's Fishy In The Data Lake: A Critical Re-evaluation of Table Union Search Benchmarks
Allaa Boutaleb, Bernd Amann, Hubert Naacke +1
Recent table representation learning and data discovery methods tackle table union search (TUS) within data lakes, which involves identifying tables that can be unioned with a give…
ATEM: A Topic Evolution Model for the Detection of Emerging Topics in Scientific Archives
Hamed Rahimi, Hubert Naacke, Camelia Constantin +1
This paper presents ATEM, a novel framework for studying topic evolution in scientific archives. ATEM is based on dynamic topic modeling and dynamic graph embedding techniques that…
ANTM: An Aligned Neural Topic Model for Exploring Evolving Topics
Hamed Rahimi, Hubert Naacke, Camelia Constantin +1
This paper presents an algorithmic family of dynamic topic models called Aligned Neural Topic Models (ANTM), which combine novel data mining algorithms to provide a modular framewo…
Improving tag recommendation by folding in more consistency
Modou Gueye, Talel Abdessalem, Hubert Naacke
Tag recommendation is a major aspect of collaborative tagging systems. It aims to recommend tags to a user for tagging an item. In this paper we present a part of our work in progr…