Abstract: A text entity extraction method, apparatus, and storage medium are provided. The method includes determining candidate text entities in a target text. Portions of the candidate text entities are combined to generate candidate segmentation combinations corresponding to the target text, the candidate text entities in each candidate segmentation combination being different. A combination probability corresponding to each candidate segmentation combination is calculated, where the combination probability is a probability that grammar is correct when the target text uses the candidate segmentation combination. A target segmentation combination corresponding to the target text is determined according to the combination probabilities. A text entity is extracted from the target text according to the target segmentation combination.

Abstract: The present disclosure discloses an automatic question-answer (QA) processing method and an automatic QA system. The method includes: obtaining, after receiving a target question text, a target keyword corresponding to the target question text; determining a candidate question text that matches the target keyword; calculating a semantic similarity value between each candidate question text and the target question text; and determining, based on the semantic similarity value, an answer corresponding to the target question text. In the present disclosure, a semantic similarity between a target question text and each question text is considered, to determine an answer to the target question text, improving accuracy of automatic QA processing.

Abstract: A text entity extraction method, apparatus, and storage medium are provided. The method includes determining candidate text entities in a target text. Portions of the candidate text entities are combined to generate candidate segmentation combinations corresponding to the target text, the candidate text entities in each candidate segmentation combination being different. A combination probability corresponding to each candidate segmentation combination is calculated, where the combination probability is a probability that grammar is correct when the target text uses the candidate segmentation combination. A target segmentation combination corresponding to the target text is determined according to the combination probabilities. A text entity is extracted from the target text according to the target segmentation combination.

Abstract: The present disclosure discloses an automatic question-answer (QA) processing method and an automatic QA system. The method includes: obtaining, after receiving a target question text, a target keyword corresponding to the target question text; determining a candidate question text that matches the target keyword; calculating a semantic similarity value between each candidate question text and the target question text; and determining, based on the semantic similarity value, an answer corresponding to the target question text. In the present disclosure, a semantic similarity between a target question text and each question text is considered, to determine an answer to the target question text, improving accuracy of automatic QA processing.

Abstract: Various embodiments provide methods and apparatus for operating a browser engine, and related browsers and terminals. When starting a browser, an operating environment of the browser can be obtained. The operating environment can include a CPU environment in a browser-installed-terminal. A matched operation mode of the browser engine can be selected according to the operating environment. The selected operation mode can be used to operate the browser engine. Exemplary apparatus for operating the browser engine can include an obtaining module, a selection module, and an operation module. Various embodiments also provide a browser including the disclosed apparatus, and a terminal including the disclosed browser.

Abstract: A touch screen device obtains a slide track input via a touch screen and compares the input slide track with at least one preconfigured slide track to obtain a preconfigured slide track which matches the inputted slide track. The touch screen device generates a trigger instruction according to a trigger operation corresponding to the preconfigured slide track, and executes the trigger instruction to unlock the touch screen and execute an operation corresponding to the trigger operation.

Abstract: Various embodiments provide methods and apparatus for operating a browser engine, and related browsers and terminals. When starting a browser, an operating environment of the browser can be obtained. The operating environment can include a CPU environment in a browser-installed-terminal. A matched operation mode of the browser engine can be selected according to the operating environment. The selected operation mode can be used to operate the browser engine. Exemplary apparatus for operating the browser engine can include an obtaining module, a selection module, and an operation module. Various embodiments also provide a browser including the disclosed apparatus, and a terminal including the disclosed browser.