18. The method of claim 15 , wherein identifying each entity sequence in the plurality of entity sequences which comprises the number of entities that matches the number of tokens in the sequence of tokens comprises at least one of identifying each entity sequence which corresponds to an initial line of the email signature block and identifying each entity sequence which excludes entities identified from a previous line of the email signature block.
15. A method for identifying entities in email signature blocks, the method comprising: creating a plurality of scores for each token, in a sequence of tokens from an email signature block, based on a corresponding independent probability distribution that has been previously trained for a plurality of entity types, wherein each token comprises one of a word, a punctuation symbol, and an end-of-line character, an entity being a part of one of a person name, a job title, an enterprise name, a telephone number, an email address, and a uniform resource locator, and being associated with at least one of an entity type, an entity sequence, and a set of entities; identifying each entity sequence that has a total number of entities that is identical to a total number of tokens in the sequence of tokens; determining, for each of the identified entity sequences, an entity sequence score by combining corresponding scores for each token, in the sequence of tokens, that corresponds to an entity type in an identified entity sequence; identifying an entity sequence from the identified entity sequences with a highest entity sequence score; and outputting the sequence of tokens as an identified set of entities, in the email signature block, based on the entity sequence with the highest score.