1. A system for identifying entities in email signature blocks, the apparatus comprising: one or more processors; and a non-transitory computer readable medium storing a plurality of instructions, which when executed, cause the one or more processors to: create 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; identify each entity sequence that has a total number of entities that is identical to a total number of tokens in the sequence of tokens; determine, 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; identify an entity sequence from the identified entity sequences with a highest entity sequence score; and output the sequence of tokens as an identified set of entities, in the email signature block, based on the entity sequence with the highest score.
1. A system for identifying entities in email signature blocks, the apparatus comprising: one or more processors; and a non-transitory computer readable medium storing a plurality of instructions, which when executed, cause the one or more processors to: create 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; identify each entity sequence that has a total number of entities that is identical to a total number of tokens in the sequence of tokens; determine, 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; identify an entity sequence from the identified entity sequences with a highest entity sequence score; and output the sequence of tokens as an identified set of entities, in the email signature block, based on the entity sequence with the highest score. 4. The system of claim 1 , 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 identifying each entity sequence which corresponds to an initial line of the email signature block.