AIDA

By Mohamed Amir Yosef, Johannes Hoffart, Ilaria Bordino, M. Spaniol, Gerhard Weikum. 2011

139 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research, Natural Language Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Paolo Ferragina
2. Massimiliano Ciaramita
3. Marco Cornolti
4. Richard Durbin
5. Meng He
6. Ebrahim Bagheri
7. Faezeh Ensan
8. Francesco Piccinno

In Management Science and Operations Research

1. Paolo Ferragina
2. Marco Cornolti
3. Massimiliano Ciaramita

In Natural Language Processing

1. Massimiliano Ciaramita
2. Marco Cornolti
3. Paolo Ferragina
4. Richard Durbin
5. Ben Langmead
6. Chenyan Xiong
7. Heng Li
8. Jamie Callan

Citations in the corpus

• ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning (2021, neutral): “– KILT: FEVER (Thorne et al., 2018), AIDA (Yosef et al., 2011), WNED (Guo & Barbosa, 2014), T-REx (Guo & Barbosa, 2014), NQ (Kwiatkowski et al., 2019), HoPo (Yang et al., 2018), TQA (Joshi et al., 2017), ELI5 (Fan et al., 2019), WoW (Dinan et al., 2019).”
• A framework for benchmarking entity-annotation systems (2013, background): “…entity annotators has increased significantly in the last few years, with several interesting and effective algorithmic approaches to solve the mention-entity match problem, possibly using other knowledge bases such as DBpedia, Freebase or Yago (see e.g. [2, 3, 7, 9, 13, 16, 18, 19, 23, 5, 15]).”