We find that this is because our model can predict anchor word in a very sharp probability distribution, so slight change of α does not make a big difference.
in all our Most Frequent Anchor Words PER I, you, he, they, we, people, president, Mandela, family, officials ORG government, Apple, they, its, Nokia, company, Microsoft, military, party, bank FAC building, home, prison, house, store, factories, factory, school, streets, there GPE country, China, U.S., US, Cyprus, our, state, countries, Syria, Russia LOC world, moon, areas, space, European, Europe, area, region, places, border NIL the, a, of, 's, in, and, to, his, who, former  experiments we empirically set α = 1 without special declaration.