feature "acronym" is true), certain surface features effective for linking to "Communist Party of China" may be also effective for disambiguating "NY", and vice versa However, with the gap in other aspects between the distributions of A q and M shown in Section 1, directly adding M to our training set will produce a lot of noise with respect to the queried name.
it shows that we have successfully created non-empty A q for 96% of the 1,891 queries.