We address the task of improving the quality of lexicon bootstrapping, i.e., of expanding a semantic lexicon on a given corpus. A main problem of iterative bootstrapping techniques is the fact that lexicon quality degrades gradually as more and more false terms are added. We propose to exploit linguistic variation between languages to reduce this problem of semantic drift with a knowledge-lean ...

We point out that the bootstrap program in quantum mechanics proposed by Han et al. reduces to a study of microcanonical ensemble same Hamiltonian [Formula: see text] limit. In limit, mechanical archipelago becomes an extremely thin line for anharmonic oscillator. For double-well potential, peninsula appears.