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.

Q: The corpus is freely available at the following link
Question: Is this dataset publicly available?

A: Yes
****
Q: To further improve the performance, we adopt system combination on the decoding lattice level. By combining systems, we can take advantage of the strength of each model that is optimized for different domains. The best result for vlsp2018 of 4.85% WER is obtained by the combination weights 0.6:0.4 where 0.6 is given to the general language model and 0.4 is given to the conversation one. On the vlsp2019 set, the ratio is change slightly by 0.7:0.3 to deliver the best result of 15.09%.
Question: What is the language model combination technique used in the paper?

A: system combination on the decoding lattice level combination weights
****
Q: On high level, we indirectly evaluate the content relevance between the candidate summary and the human summary using information retrieval. To accomplish this, we use the summaries as search queries and compare the overlaps of the retrieved results.
Question: In the proposed metric, how is content relevance measured?

A:
The content relevance between the candidate summary and the human summary is evaluated using information retrieval - using the summaries as search queries and compare the overlaps of the retrieved results.
****