11. A system for determining a type of conversation continuity in a natural language conversation comprising a first query and a second query to refine search results in response to the first query and the second query based on the type of conversation continuity, the system comprising: a memory storing at least one of a database and a knowledge graph; a user input device in communication with control circuitry; the control circuitry configured to: receive, via the user input device, the first query from a user; retrieve, from the database, a first search result for the first query; generate for display the first search result; receive, via the user input device, the second query from the user; determine a first token in the first query; determine a second token in the second query; identify first entity data for the first token, wherein the first entity data includes: a first entity type for the first token, a first probability that the first entity type corresponds to the first token, a second entity type for the first token, and a second probability that the second entity type corresponds to the first token; identify second entity data for the second token, wherein the second entity data includes: a third entity type for the second token, a third probability that the third entity type corresponds to the second token, a fourth entity type for the second token, and a fourth probability that the fourth entity type corresponds to the second token; transmit a request including an indication of the first entity data and the second entity data for connections between the first entity data and the second entity data; in response to the transmitted request, receive one or more graph connections between the first entity data and the second entity data obtained by a search of a knowledge graph, the search based on the indication of the first entity data and the second entity data; apply the first token, the second token, the first entity data, the second entity data, and the one or more graph connections as inputs to an artificial neural network; determine an output from the artificial neural network that indicates the type of conversation continuity between the first query and the second query; update the second query based on the type of conversation continuity; retrieve, from the database, a second search result for the updated second query; and generate for display the second search result.
11. A system for determining a type of conversation continuity in a natural language conversation comprising a first query and a second query to refine search results in response to the first query and the second query based on the type of conversation continuity, the system comprising: a memory storing at least one of a database and a knowledge graph; a user input device in communication with control circuitry; the control circuitry configured to: receive, via the user input device, the first query from a user; retrieve, from the database, a first search result for the first query; generate for display the first search result; receive, via the user input device, the second query from the user; determine a first token in the first query; determine a second token in the second query; identify first entity data for the first token, wherein the first entity data includes: a first entity type for the first token, a first probability that the first entity type corresponds to the first token, a second entity type for the first token, and a second probability that the second entity type corresponds to the first token; identify second entity data for the second token, wherein the second entity data includes: a third entity type for the second token, a third probability that the third entity type corresponds to the second token, a fourth entity type for the second token, and a fourth probability that the fourth entity type corresponds to the second token; transmit a request including an indication of the first entity data and the second entity data for connections between the first entity data and the second entity data; in response to the transmitted request, receive one or more graph connections between the first entity data and the second entity data obtained by a search of a knowledge graph, the search based on the indication of the first entity data and the second entity data; apply the first token, the second token, the first entity data, the second entity data, and the one or more graph connections as inputs to an artificial neural network; determine an output from the artificial neural network that indicates the type of conversation continuity between the first query and the second query; update the second query based on the type of conversation continuity; retrieve, from the database, a second search result for the updated second query; and generate for display the second search result. 18. The system of claim 11 , wherein the control circuitry configured to update the second query based on the type of conversation continuity comprises the control circuitry configured to: identify the type of conversation continuity to be a clarification type; and based on identifying the type of conversation continuity to be the clarification type: determine an alternative entity type for the first token in the first query based on the second query; and determine the second query to be the first query with the first token being the alternative entity type.