The paper reports our experiments in tackling the CLEF 2012 Pilot Task on Machine Reading for Question Answering. We introduce the technique of index expansion, which relies on building a search index enriched with in-formation gathered from a linguistic analysis of texts. The index provides a highly tangled representation of the sentences where each word is directly con-nected to others representing both meaning and relations. Instead of keeping the knowledge base separate, the relevant knowledge gets embedded within the text. We can hence use efficient indexing techniques to represent such knowledge and query it very effectively. We explain how index expansion was used in the task and describe the experiments that we performed. The results achieved are quite positive and a final error analysis shows how the technique can be further improved.
Index Expansion for Machine Reading and Question Answering
ATTARDI, GIUSEPPE;SIMI, MARIA
2012-01-01
Abstract
The paper reports our experiments in tackling the CLEF 2012 Pilot Task on Machine Reading for Question Answering. We introduce the technique of index expansion, which relies on building a search index enriched with in-formation gathered from a linguistic analysis of texts. The index provides a highly tangled representation of the sentences where each word is directly con-nected to others representing both meaning and relations. Instead of keeping the knowledge base separate, the relevant knowledge gets embedded within the text. We can hence use efficient indexing techniques to represent such knowledge and query it very effectively. We explain how index expansion was used in the task and describe the experiments that we performed. The results achieved are quite positive and a final error analysis shows how the technique can be further improved.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
