UvA-DARE ( Digital Academic Repository ) Using Wikipedia at the TREC QA Track
By David Ahn, Valentin Jijkoun, Gilad Mishne, Karin Müller, Maarten de Rijke, Stefan Schlobach. 2005
Subfields: Information Retrieval & Search
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Retrieval & Search
- Jason Aaron Edward Weston
- Danqi Chen
- Bernhard Kratzwald
- Stefan Feuerriegel
- Chien-Sheng Wu
- Pascale Fung
- Antoine Bordes
- Hannaneh Hajishirzi
Citations in the corpus
- Reading Wikipedia to Answer Open-Domain Questions (2017, background): “Similarly, Ahn et al. (2004) also combine Wikipedia as a text resource with other resources, in this case with information retrieval over other documents.”
- Improving Large-Scale Fact-Checking using Decomposable Attention Models and Lexical Tagging (2018, methodology): “In addition, question answering (Dang et al., 2007; Chen et al., 2017a; Ryu et al., 2014; Ahn et al., 2004) and task-oriented dialog systems (Dhingra et al., 7: Full-pipeline evaluation on the test set using k = 2 and th = 0 .”
- Mining Knowledge fromWikipedia for the Question Answering task (2006, background): “Recently, the availability of a large, open domain encyclopedia, such as the Wikipedia 1 , has captured the attention of some researchers (Lita et al., 2004; Ahn et al., 2004) in the Question Answering field.”
- Extracting Lexical Semantic Knowledge from Wikipedia and Wiktionary (2008, background): “…categorization (Gabrilovich and Markovitch, 2006), information extraction (Ruiz-Casado et al., 2005), information retrieval (Gurevych et al., 2007), question answering (Ahn et al., 2004), computing semantic relatedness (Zesch et al., 2007), or named entity recognition (Bunescu and Pasca, 2006).”
- Learning from On-Line User Feedback in Neural Question Answering on the Web (2019, methodology): “Wikipedia is freely available and has an active community that keeps it up-to-date.”
- Open domain question answering using Wikipedia-based knowledge model (2014, methodology): “Furthermore, Wikipedia was applied to QA systems as a knowledge base (Ahn et al., 2004; Buscaldi & Rosso, 2006; Simmons, 2012).”