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.

The first part is described as Task A, the purpose of which is to identify the boundaries of timexes and assign them to one of the following classes: date, time, duration, set. We chose the best 3 results from each word embeddings group (EE, EP, EC) from Table TABREF19 presenting F1-scores for all models. Then we evaluated these results using more detailed measures for timexes, presented in BIBREF27 . 
 Question: What experiments are presented?
identify the boundaries of timexes and assign them to one of the following classes: date, time, duration, set  Then we evaluated these results using more detailed measures for timexes

We train MaLOPa on the concantenation of training sections of all seven languages. 
 Question: How many languages have this parser been tried on?
seven

For the MCTest dataset, Fig. FIGREF30 compares our proposed models with the current state-of-art ensemble of hand-crafted syntactic and frame-semantic features BIBREF16 , as well as past neural models from the literature, all using attention mechanisms — the Attentive Reader of BIBREF26 , Neural Reasoner of BIBREF27 and the HABCNN model family of BIBREF17 .  
 Question: what is the state of the art for ranking mc test answers?

ensemble of hand-crafted syntactic and frame-semantic features BIBREF16