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: Our in-house dataset includes manually annotated RE data for 6 languages: English, German, Spanish, Italian, Japanese and Portuguese. The ACE05 dataset includes manually annotated RE data for 3 languages: English, Arabic and Chinese. It defines 7 entity types (Person, Organization, Geo-Political Entity, Location, Facility, Weapon, Vehicle) and 6 relation types between the entities (Agent-Artifact, General-Affiliation, ORG-Affiliation, Part-Whole, Personal-Social, Physical).
Question: What languages do they experiment on?

Answer: English, German, Spanish, Italian, Japanese and Portuguese English, Arabic and Chinese

Question: Attention-base translation model We use the system of BIBREF6 , a convolutional sequence to sequence model.
Question: Which translation system do they use to translate to English?

Answer: Attention-based translation model with convolution sequence to sequence model

Question: The competition is divided into five subtasks which involve standard classification, ordinal classification and distributional estimation. For a more detailed description see BIBREF0 .
Question: What were the five English subtasks?

Answer:
five subtasks which involve standard classification, ordinal classification and distributional estimation. For a more detailed description see BIBREF0