xuwenkang / QA-matchLSTM

Reproducing Machine Comprehension Using Match-LSTM and Answer Pointer with modifications (Wang et al. ICLR 2017)

Stanford CS224N Final Project

Reading Comprehension with Deep Learning

A neural network architecture for reading comprehension using the Stanford Question Answering Dataset (SQuAD). Given 100K question-answer pairs, the task is defined as predicting an answer span within a given context paragraph.

Question:

Why was Tesla returned to Gospic?

Paragraph:

On 24 March 1879, Tesla was returned to Gospic under police guard for not having a residence permit. On 17 April 1879, Milutin Tesla died at the age of 60 after contracting an unspecified illness (although some sources say that he died of a stroke). During that year, Tesla taught a large class of students in his old school, Higher Real Gymnasium, in Gospic.

Answer:

not having a residence permit

---

Results

Baseline (validation set) F1 24.9 EM 16

Match-LSTM (validation set) F1 61.0 EM 51

Match-LSTM (dev set) F1 53.7 EM 40

Match-LSTM (test set) F1 54.0 EM 41

---

Authors

• Cindy Wang
• Annie Hu
• Brandon Yang

---

Thanks

• Machine Comprehension Using Match-LSTM and Answer Pointer (Wang, Jiang)
• Dynamic Coattention Networks For Question Answering (Xiong, Zhong, Socher)