Relation Extraction from Text Quiz

Answers and explanations appear as you take the quiz.

1. What is the typical output of a relation extraction system?
   • A structured triple linking two entities by a relation
   • A grammatical parse tree of the sentence
   • A sentiment score from negative to positive
   • A translation of the sentence into another language
2. In a common pipeline for relation extraction, what may identify entity mentions before pair classification?
   • Text-to-speech synthesis
   • Named entity recognition
   • Image segmentation
   • Audio source separation
3. Why can distant supervision produce noisy relation-extraction labels?
   • Knowledge bases contain no structured facts
   • It requires every sentence to be hand-labeled
   • A sentence may mention two linked entities without stating their knowledge-base relation
   • It removes entity mentions before training
4. How do many transformer-based RE models indicate which entity pair to classify?
   • By translating the sentence first
   • By deleting one of the entities
   • By converting the text to audio
   • By inserting special marker tokens around the two entities
5. What distinguishes 'open' relation extraction from standard RE?
   • It extracts relation phrases directly from text without a predefined set of relation types
   • It only works on numbers
   • It requires more labeled data than any other method
   • It can only find one relation per document
6. Why include a no-relation label when classifying candidate entity pairs?
   • To translate the sentence into another language
   • To represent pairs for which the text does not assert a target relation
   • To replace named entity recognition
   • To guarantee that every pair has a relation
7. What does document-level relation extraction allow a system to use?
   • Only the spelling of a single entity
   • Audio features from a spoken recording
   • Evidence that may be spread across multiple sentences
   • A fixed relation without reading text
8. How does open relation extraction differ from a closed relation schema?
   • It cannot use text as input
   • It always requires a knowledge base to label every sentence
   • It only identifies entity boundaries
   • It can express relation phrases without choosing only from a predefined label inventory