In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.

[EX Q]: We evaluate our model on both English and Chinese segmentation. For both languages we used standard datasets for word segmentation and language modeling. English
The Brent corpus is a standard corpus used in statistical modeling of child language acquisition BIBREF15 , BIBREF16 We use the commonly used version of the PTB prepared by BIBREF17 Since Chinese orthography does not mark spaces between words, there have been a number of efforts to annotate word boundaries. We evaluate against two corpora that have been manually segmented according different segmentation standards. The Beijing University Corpus was one of the corpora used for the International Chinese Word Segmentation Bakeoff BIBREF18 . We use the Penn Chinese Treebank Version 5.1 BIBREF19 .
Question: What dataset is used?
[EX A]: Brent corpus PTB Beijing University Corpus Penn Chinese Treebank

[EX Q]: Our model differs by learning the subword vectors and resulting representation jointly as weighted factorization of a word-context co-occurrence matrix is performed.
Question: Which matrix factorization methods do they use?
[EX A]: weighted factorization of a word-context co-occurrence matrix

[EX Q]: The memory mechanism is adopted in order to enable the model to look beyond localized features and have access to the entire sequence.
Question: Which features do they use?
[EX A]:
beyond localized features and have access to the entire sequence