In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
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Question: Our main contributions are (1) the publication of Turkish corpus for coarse-grained and fine-grained NER, and TC research, (2) six different versions of corpus according to noise reduction methodology and entity types, (3) an analysis of the corpus and (4) benchmark comparisons for NER and TC tasks against human annotators. 

Answer: Did they experiment with the dataset on some tasks?


Question: On the same architecture, our RCRN outperforms ablative baselines BiLSTM by INLINEFORM2 and 3L-BiLSTM by INLINEFORM3 on average across 16 datasets.

Answer: By how much do they outperform BiLSTMs in Sentiment Analysis?


Question: Frege promoted what we could call sentence holism: “Only in the context of a sentence does a word have a meaning.” BIBREF10

Answer:
What does Frege's holistic and functional approach to meaning states?