Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks

6 Sep 2018 Linfeng Song Zhiguo Wang Mo Yu Yue Zhang Radu Florian Daniel Gildea

Multi-hop reading comprehension focuses on one type of factoid question, where a system needs to properly integrate multiple pieces of evidence to correctly answer a question. Previous work approximates global evidence with local coreference information, encoding coreference chains with DAG-styled GRU layers within a gated-attention reader... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Question Answering COMPLEXQUESTIONS MHQA F1 30.1 # 1
Question Answering WikiHop MHQA Test 65.4 # 4

Methods used in the Paper


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