Google Inc.

Anna Kipnis

Robert J Mical

Steven Lee Pucci

Ji Kim

Daniel Cary

Rachel Bernstein

Aaron D Cohen

Benjamin Pietrzak

Ji Hun Kim

A video game system provides dialog responses based on a natural language model (NLM). The NLM is a language model that receives a language input, such as a dialog selection, audio recording, or natural language text input provided by a user of the video game system. In response to the language input, and based on a corpus of natural language candidate lines, the NLM identifies one or more potential responses. The video game system selects a final response from the identified potential responses and provides the selected response to the user via, for example, one or more display frames or via an audio output.

Natural language dialog system for computer program interaction

A processor executes program code that represents a portion of a video game and adds a sequence of text strings that represent game events to a text log during execution of the program code. The processor (or another processor that has access to the text log) performs a natural language processing (NLP) analysis of the text log to determine one or more characteristics of the portion of the video game. In some cases, the NLP analysis includes a sentiment analysis that attempts to determine characteristics of a player's experience while playing the video game, summarization technology that creates a human-readable summary of an aspect of the game or a portion of the video game, a semantic NLP ML algorithm in the semantic similarity modality to answer questions regarding the player's experience during the video game, or grouping players in a multiplayer game based on in-game behavior.

Game analytics using natural language processing

Game decisions are coordinated using a semantic natural language processing (NLP) machine learning (ML) algorithm, which is stored in a memory in some cases. In response to a game event, a processor records a text string that represents the game event in a text log that includes a sequence of text strings that represent game events that have transpired during a portion of the game. The processor also generates, using the semantic NLP ML algorithm, scores for labeled actions or content based on the text log and a curve that represents a target player experience as a function of progress through the game. The processor further serves one or more of the labeled actions or content that is selected based on the scores. The labeled actions or content are served to a display associated with the processor.

Using semantic natural language processing machine learning algorithms for a video game application

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San Bruno, CA, United States of America

Anna Kipnis