Natural Language Inference over Interaction Space

Natural Language Inference (NLI) task requires an agent to determine the logical relationship between a natural language premise and a natural language hypothesis. We introduce Interactive Inference Network (IIN), a novel class of neural network architectures that is able to achieve high-level understanding of the sentence pair by hierarchically extracting semantic features from interaction space... (read more)

PDF Abstract ICLR 2018 PDF ICLR 2018 Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Paraphrase Identification Quora Question Pairs DIIN Accuracy 89.06 # 4
Natural Language Inference SNLI 448D Densely Interactive Inference Network (DIIN, code) % Test Accuracy 88.0 # 19
% Train Accuracy 91.2 # 29
Parameters 4.4m # 2
Natural Language Inference SNLI 448D Densely Interactive Inference Network (DIIN, code) Ensemble % Test Accuracy 88.9 # 12
% Train Accuracy 92.3 # 24
Parameters 17m # 2

Methods used in the Paper


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