Dynamic Knowledge-Base Alignment for Coreference Resolution
By Jiaping Zheng, Luke Vilnis, Sameer Singh, Jinho D. Choi, Andrew McCallum. 2013
30 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Daniel Khashabi
- Hannaneh Hajishirzi
- Yejin Choi
- Mohit Bansal
- Luke S. Zettlemoyer
- Percy Liang
- Greg Durrett
- Yi Tay
Citations in the corpus
- Solving Hard Coreference Problems (2019, background): “When it comes to coreference resolution, there are a handful of works which either use web query information or apply alignment to an external knowledge base (Rahman and Ng, 2011b; Kobdani et al., 2011; Ratinov and Roth, 2012; Bansal and Klein, 2012; Zheng et al., 2013).”
- Design Challenges for Entity Linking (2015, methodology): “…relation extraction (Craven and Kumlien, 1999; Riedel et al., 2010; Hoffmann et al., 2011; Koch et al., 2014) that uses EL to create training data, and some coreference systems that use EL for disambiguation (Hajishirzi et al., 2013; Zheng et al., 2013; Durrett and Klein, 2014).”
- Joint Coreference Resolution and Named-Entity Linking with Multi-Pass Sieves (2013, background): “Zheng et al. (2013) use a ranked list of candidate entities for each mention and maintain the ranked list when mentions are merged.”
- An Adversarial Winograd Schema Challenge at Scale (2019, background): “This IR-oriented approach comes from an important line of work in coreference resolution (Kobdani et al., 2011; Ratinov and Roth, 2012; Bansal and Klein, 2012; Zheng et al., 2013; Peng et al., 2015; Sharma et al., 2015).”
- A Knowledge Hunting Framework for Common Sense Reasoning (2018, methodology): “ Ng, 2012) uses web query information to retrieve evidence for the coreference decision in a Winograd-like corpus. Other systems (Kobdani et al., 2011; Ratinov and Roth, 2012; Bansal and Klein, 2012; Zheng et al., 2013; Peng et al., 2015; Sharma et al., 2015) rely on similar techniques, i.e., using ”
- A Joint Model for Entity Analysis: Coreference, Typing, and Linking (2014, methodology): “shown that tighter integration of coreference and entity linking is promising (Hajishirzi et al., 2013; Zheng et al., 2013); we extend these approaches and model the entire process more holistically.”