TY - GEN
T1 - Learning and evaluating the content and structure of a term taxonomy
AU - Kozareva, Zornitsa
AU - Hovy, Eduard
AU - Riloff, Ellen
PY - 2009
Y1 - 2009
N2 - In this paper, we describe a weakly supervised boot-straping algorithm that reads Web texts and learns taxonomy terms. The bootstrapping algorithm starts with two seed words (a seed hypernym (Root concept) and a seed hyponym) that are inserted into a doubly anchored hyponym pattern. In alternating rounds, the algorithm learns new hyponym terms and new hypernym terms that are subordinate to the Root concept. We conducted an extensive evaluation with human annotators to evaluate the learned hyponym and hypernym terms for two categories: animals and people.
AB - In this paper, we describe a weakly supervised boot-straping algorithm that reads Web texts and learns taxonomy terms. The bootstrapping algorithm starts with two seed words (a seed hypernym (Root concept) and a seed hyponym) that are inserted into a doubly anchored hyponym pattern. In alternating rounds, the algorithm learns new hyponym terms and new hypernym terms that are subordinate to the Root concept. We conducted an extensive evaluation with human annotators to evaluate the learned hyponym and hypernym terms for two categories: animals and people.
UR - https://www.scopus.com/pages/publications/70350532442
UR - https://www.scopus.com/pages/publications/70350532442#tab=citedBy
M3 - Conference contribution
SN - 9781577354147
T3 - AAAI Spring Symposium - Technical Report
SP - 50
EP - 57
BT - Learning by Reading and Learning to Read - Papers from the AAAI Spring Symposium
T2 - Learning by Reading and Learning to Read - Papers from the AAAI Spring Symposium
Y2 - 23 March 2009 through 25 March 2009
ER -