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 UNGA speeches dataset, compiled by Baturo et al. UNGAspeeches, contains the text from 7,507 speeches given between 1970-2015 inclusive.
Question: how many speeches are in the dataset?
[EX A]: 7,507

[EX Q]: The word intrusion test is expensive to apply since it requires manual evaluations by human observers separately for each embedding dimension. Furthermore, the word intrusion test does not quantify the interpretability levels of the embedding dimensions, instead it yields a binary decision as to whether a dimension is interpretable or not. However, using continuous values is more adequate than making binary evaluations since interpretability levels may vary gradually across dimensions.
Question: What advantages does their proposed method of quantifying interpretability have over the human-in-the-loop evaluation they compare to?
[EX A]: it is less expensive and quantifies interpretability using continuous values rather than binary evaluations

[EX Q]: In this section we describe how to evaluate and compare the outcomes of algorithms which assign relevance scores to words (such as LRP or SA) through intrinsic validation. Furthermore, we propose a measure of model explanatory power based on an extrinsic validation procedure.
Question: Are the document vectors that the authors introduce evaluated in any way other than the new way the authors propose?
[EX A]:
Yes