Controlling Information Aggregation for Complex Question Answering
By Heeyoung Kwon, Harsh Trivedi, Peter Alexander Jansen, Mihai Surdeanu, Niranjan Balasubramanian. 2018
13 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems, 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
In Information Systems
In Natural Language Processing
Citations in the corpus
- Improving Question Answering with External Knowledge (2019, background): “Many researchers investigate how to directly or indirectly use automatically constructed knowledge bases/graphs from reference corpora (Khot et al., 2017; Kwon et al., 2018; Khashabi et al., 2018; Zhang et al., 2018) or existing external general knowledge graphs (Li and Clark, 2015; Sachan et al.”
- Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering (2018, background): “Many existing works have followed the ‘search-and-answer’ strategy and achieved strong performance (Chen et al., 2017; Kwon et al., 2018; Wang et al., 2018b) spanning multiple QA datasets such as TriviaQA (Joshi et al., 2017), SQuAD (Rajpurkar et al., 2016), MS-Macro (Nguyen et al., 2016), ARC…”