Papers with upstream components

2 papers
Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension (P19-1)

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Challenge: Existing approaches to answer reading comprehension tasks are inefficient since the input is re-encoded within each module.
Approach: They propose a unified question answering model that combines context retrieving, reading comprehension, and answer reranking to predict the final answer.
Outcome: The proposed model outperforms the baseline model and achieves state-of-the-art results on two versions of TriviaQA and two variants of SQuAD.
A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution (2021.naacl-main)

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Challenge: Existing methods for event coreference resolution use symbolic features, but they are noisy and contain errors.
Approach: They propose a context-dependent gated module to adaptively control the information flows from the input symbolic features.
Outcome: The proposed model achieves state-of-the-art on two datasets: ACE 2005 and KBP 2016 .

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