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README.md

README.md

Recognizing Textual Entrailment with SNLI datasets

Dataset

The Stanford Natural Language Processing Group

Result

Source Model Test Accuracy (% acc)
lstm.py merge(200D LSTMs) + MLP(300U*3L) 80.1
lstm_td.py merge(200D LSTMs + 100D TimeDistributed) + MLP(300U*3L) 81.6
lstm_bid.py merge(200D BiDirectional LSTMs + 100D TimeDistributed) + MLP(200U*3L) 82.1
lstm_bid.py merge(200D BiDirectional LSTMs + 200D TimeDistributed) + MLP(400U*3L) 83.0
lstm_bid.py merge(200D BiDirectional LSTMs + 300D TimeDistributed) + MLP(600U*3L) 83.7

D: Dimension, U: Unit, L: Layer

Author

@yag_ays (yanagi.ayase@gmail.com)