Abstract: Disclosed embodiments relate to natural language processing. Techniques can include receiving input text, extracting, from the input text, at least one modifier and aspect pair, receiving data from a knowledgebase, based on the at least one modifier and aspect pair and commonsense data, generate one or more premise embeddings, convert the input text into tokens, generating at least one vector for one or more of the tokens based on an analysis of the tokens, combine the at least one vector with the one or more premise embeddings to create at least one combined vector, and analyze the at least one combined vector wherein the analysis generates an output indicative of a feature of the input text.

Abstract: Disclosed embodiments relate to aligning pairs of sentences. Techniques can include receiving a plurality of sentences; generating a graph for each of at least two sentences of the plurality of sentences, wherein generating a graph for each sentence of the at least two sentences comprises: identifying one or more tokens for the sentence; and connecting via edges the one or more tokens; generating a combined graph for the at least two sentences wherein generating a combined graph comprises: aligning the identified tokens of the at least two sentences of the plurality of sentences; identifying matching and non-matching tokens between the at least two sentences based on the alignment; and merging matching tokens into a combined graph node.

Abstract: Disclosed embodiments relate to aligning pairs of sentences. Techniques can include receiving a plurality of sentences; generating a graph for each of at least two sentences of the plurality of sentences, wherein generating a graph for each sentence of the at least two sentences comprises: identifying one or more tokens for the sentence; and connecting via edges the one or more tokens; generating a combined graph for the at least two sentences wherein generating a combined graph comprises: aligning the identified tokens of the at least two sentences of the plurality of sentences; identifying matching and non-matching tokens between the at least two sentences based on the alignment; and merging matching tokens into a combined graph node.

Abstract: Disclosed embodiments relate to natural language processing. Techniques can include receiving input text, extracting, from the input text, at least one modifier and aspect pair, receiving data from a knowledgebase, based on the at least one modifier and aspect pair and commonsense data, generate one or more premise embeddings, convert the input text into tokens, generating at least one vector for one or more of the tokens based on an analysis of the tokens, combine the at least one vector with the one or more premise embeddings to create at least one combined vector, and analyze the at least one combined vector wherein the analysis generates an output indicative of a feature of the input text.

Abstract: Based on an idea that there is a correlation between the number of mobile terminals 300 detected inside a facility (that is, a detected terminal count) and visitors of the facility, the number of users using the facility (that is, a crowd condition of the facility) is estimated using a WiFi function provided in the mobile terminals 300. Consequently, the crowd condition of the facility can simply be estimated while costs are suppressed to be low, compared to conventional methods in which, e.g., infrared modules or Web cameras are provided at entrances/exits of a facility to estimate a crowd condition.

Abstract: A suspicious person detection technology which is less likely to cause a blind spot of detection of a suspicious person is provided. A suspicious person detection system detects a suspicious person present in a predetermined area and includes a probe request detection terminal (100) configured to detect a probe request transmitted from a mobile terminal (400) to generate probe information including first identification information specific to the mobile terminal which transmits the probe information, and an analyzing apparatus (200) configured to acquire the probe information from the probe request detection terminal, and, in the case where the first identification information included in the probe information matches none of one or more pieces of second identification information set in advance, transmit suspicious person information indicating that a suspicious person is detected to a predetermined information processing apparatus (300).