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.
--------
Question: To compare our results, we use the provided baseline, which is a non-parameter optimized linear-kernel SVM that uses TF-IDF bag-of-word vectors as inputs.
Question: What was the baseline model?

Answer: a non-parameter optimized linear-kernel SVM that uses TF-IDF bag-of-word vectors as inputs

Question: In this paper we have formalized the problem of automatic fill-on-the-blanks quiz generation using two well-defined learning schemes: sequence classification and sequence labeling.
Question: Which two schemes are used?

Answer: sequence classification sequence labeling

Question: Four datasets are used in our work, including CoNLL 2003 German BIBREF9 , CoNLL 2002 Spanish BIBREF10 , OntoNotes 4 BIBREF11 and Weibo NER BIBREF12 . Table TABREF22 shows the results on Chinese OntoNotes 4.0.
Question: Which languages do they work with?

Answer:
German Spanish Chinese