Complex Question Answering (QA) Task
A Complex Question Answering (QA) Task is a QA task that accepts complex questions.
- Example(s):
- …
- Counter-Example(s):
- See: Complex Logic.
References
2018
- (Jansen, 2018) ⇒ Peter Jansen. (2018). “Multi-hop Inference for Sentence-level TextGraphs: How Challenging is Meaningfully Combining Information for Science Question Answering?.” In: Proceedings of TextGraphs-2018 (TextGraphs-2018).
- QUOTE: Question Answering for complex questions is often modeled as a graph construction or traversal task, where a solver must build or traverse a graph of facts that answer and explain a given question. This "multi-hop" inference has been shown to be extremely challenging, with few models able to aggregate more than two facts before being overwhelmed by “semantic drift", or the tendency for long chains of facts to quickly drift off topic. This is a major barrier to current inference models, as even elementary science questions require an average of 4 to 6 facts to answer and explain. …
Q: What is the main purpose of the flowers of a peach tree?
A: to attract bees for pollination.Example Ratings:
High: The flower helps the plant reproduce because it contains the pollen and eggs.
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- QUOTE: Question Answering for complex questions is often modeled as a graph construction or traversal task, where a solver must build or traverse a graph of facts that answer and explain a given question. This "multi-hop" inference has been shown to be extremely challenging, with few models able to aggregate more than two facts before being overwhelmed by “semantic drift", or the tendency for long chains of facts to quickly drift off topic. This is a major barrier to current inference models, as even elementary science questions require an average of 4 to 6 facts to answer and explain. …