Task: Question Answering
Input (English): As discussed in Section SECREF2 , a variety of features that measure salience of an entity in text are available from the NLP community. We reimplemented the ones in Dunietz and Gillick BIBREF11 . This includes a variety of features, e.g. positional features, occurrence frequency and the internal POS structure of the entity and the sentence it occurs in.  
 Question: What features are used to represent the salience and relative authority of entities?
Output (English): Salience features positional features, occurrence frequency and the internal POS structure of the entity and the sentence it occurs in.
The relative authority of entity features:   comparative relevance of the news article to the different entities occurring in it.