Papers by Sebastian Thiem

2 papers
Extracting Common Inference Patterns from Semi-Structured Explanations (D19-60)

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Challenge: Multi-hop inference suffers from semantic drift, or the tendency for chains of reasoning to "drift"' to unrelated topics.
Approach: They propose to extract large high-confidence multi-hop inference patterns from a corpus of explanations by abstracting large-scale structure from logical sentences.
Outcome: The proposed method extracts large high-confidence multi-hop inference patterns from a “matter” subset of elementary science exam questions.
WorldTree V2: A Corpus of Science-Domain Structured Explanations and Inference Patterns supporting Multi-Hop Inference (2020.lrec-1)

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Challenge: Standardized science questions require combining an average of 6 facts and as many as 16 facts to answer and explain.
Approach: They propose to combine an average of 6 facts and as many as 16 facts to produce an answer for complex questions.
Outcome: The proposed model is based on a corpus of 5,114 standardized science exam questions . it uses multi-fact explanations that combine science knowledge and world knowledge .

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