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]: 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?
[EX A]: 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

[EX Q]: We evaluate our newly proposed models and related baselines in several low-resource settings across different languages with real, distantly supervised data with non-synthetic noise. The advanced modeling of the noisy labels substantially improves the performance up to 36% over methods without noise-handling and up to 9% over all other noise-handling baselines.
Question: Did they evaluate against baseline?
[EX A]: Yes

[EX Q]: In this work, we look at a wide range of attributes and report prediction results on 62 demographic attributes.
Question: How many demographic attributes they try to predict?
[EX A]:
62