Abstract: A gas extraction device for metal mineral inclusions and a gas extraction method therefor are provided, the device includes a base plate, an annular carrier, sealing covers, a grinding assembly, a vacuum assembly, a gas-gathering assembly and a mass spectrometer. The annular carrier is disposed on the base plate, multiple grinding chambers are defined and evenly distributed in a circular shape on the annular carrier, the sealing covers are disposed at openings of the grinding chambers, the grinding assembly includes grinding hammers, and the grinding hammers penetrate through the sealing covers and extend into the grinding chambers. Side walls of each grinding chamber defines a first through hole and a second through hole. The vacuum assembly is communicated with the grinding chambers through the first through holes. The gas-gathering assembly is communicated with the grinding chambers through the second through holes. The mass spectrometer is communicated with the gas-gathering assembly.

Abstract: A method, a device and a computer program for conformity determination of cross-regional affairs. The method comprises obtaining characteristics from a description of an affair at least crossing a local region and a non-local region. The method further comprises generating a multi-level constraint based on the characteristics from a knowledge base, and the knowledge base includes regulations for cross-regional affairs, and the multi-level constraint includes a local constraint associated with the local region and a non-local constraint associated with the local region and the non-local region. Moreover, the method also comprises determining conformity of the affair to the multi-level constraint. The method can determine the conformity of the cross-regional affairs automatically, thereby reducing the consumption of human resources and the inconformity risk in the cross-regional affairs.

Abstract: Embodiments of the present disclosure relate to non-sequential document comparison. A first plurality of segments in a first document and a second plurality of segments in a second document are obtained. In response to a first segment from the first plurality of segments being associated with a second segment from the second plurality of segments, a third segment from the first plurality of segments is associated with a fourth segment from the second plurality of segments.

Abstract: A method, a device and a computer program for conformity determination of cross-regional affairs. The method comprises obtaining characteristics from a description of an affair at least crossing a local region and a non-local region. The method further comprises generating a multi-level constraint based on the characteristics from a knowledge base, and the knowledge base includes regulations for cross-regional affairs, and the multi-level constraint includes a local constraint associated with the local region and a non-local constraint associated with the local region and the non-local region. Moreover, the method also comprises determining conformity of the affair to the multi-level constraint. The method can determine the conformity of the cross-regional affairs automatically, thereby reducing the consumption of human resources and the inconformity risk in the cross-regional affairs.

Abstract: Embodiments of the present disclosure relate to non-sequential document comparison. A first plurality of segments in a first document and a second plurality of segments in a second document are obtained. In response to a first segment from the first plurality of segments being associated with a second segment from the second plurality of segments, a third segment from the first plurality of segments is associated with a fourth segment from the second plurality of segments.

Abstract: A document tagging method and apparatus. According to the method, a focused entity relevant to a basic document and a sentiment polarity of comments on the focused entity are acquired, and then a tag is generated on the basic document from the focused entity and the corresponding sentiment polarity. The present invention can tag the basic document with an opinion on the relevant focused entity and thus facilitate knowledge of the opinion on a relevant entity.

Abstract: A data profiling method and system for reading an input data entry set and labeling semantic fragments according to fragments of data entries and semantic features of fragments and, based on the labeled semantic fragments performing a semantic-level data analysis of the input data entry set to obtain analysis results. According to the method and system of the present invention, it is able to obtain better data analysis of free text and make corresponding statistics and analysis of free-text data entry sets according to semantics.

Abstract: Comparing document contents is provided. An ontological concept is extracted from a text snippet of a corpus document. One or more feature vectors are constructed that include associative information that describes an ontology that includes the focused concept. A topic model is trained using the one or more feature vectors. First and second topic sets are respectively extracted from first and second documents using the topic model. One or more topics from the first topic set are matched, using the topic model, with one or more topics from the second topic set to construct a matched topic set. Semantic analyses are respectively performed on first and second text snippet sets, wherein the first and second text snippet sets are chosen based, at least in part, on the matched topic set. Text snippets are matched based, at least in part, on the first and second semantic analyses.

Abstract: A document tagging method and apparatus. According to the method, a focused entity relevant to a basic document and a sentiment polarity of comments on the focused entity are acquired, and then a tag is generated on the basic document from the focused entity and the corresponding sentiment polarity. The present invention can tag the basic document with an opinion on the relevant focused entity and thus facilitate knowledge of the opinion on a relevant entity.

Abstract: A system and method for expanding new sample seeds to automatically expand corpora, in which sample seeds are used to collect corpus is provided. The new sample seeds are generated based on the already existed sample seeds and collected corpora; The corpus expansion strategy is determined based on all the sample seeds having been used and new sample seeds: The new sample seeds are refined based on the corpus expansion strategy, and the refined new sample seeds are used to further collect corpus. The above steps are repeatedly executed until predefined condition is satisfied. According to the invention, corpus may be automatically expanded from the web or other resources with low cost and in convenient way to improve the coverage of corpora.

Abstract: A system and method for expanding new sample seeds to automatically expand corpora, in which sample seeds are used to collect corpus is provided. The new sample seeds are generated based on the already existed sample seeds and collected corpora; The corpus expansion strategy is determined based on all the sample seeds having been used and new sample seeds: The new sample seeds are refined based on the corpus expansion strategy, and the refined new sample seeds are used to further collect corpus. The above steps are repeatedly executed until predefined condition is satisfied. According to the invention, corpus may be automatically expanded from the web or other resources with low cost and in convenient way to improve the coverage of corpora.

Abstract: A data profiling method and system for reading an input data entry set and labeling semantic fragments according to fragments of data entries and semantic features of fragments and, based on the labeled semantic fragments performing a semantic-level data analysis of the input data entry set to obtain analysis results. According to the method and system of the present invention, it is able to obtain better data analysis of free text and make corresponding statistics and analysis of free-text data entry sets according to semantics.

Abstract: A method and program product to generate summaries for text documents. A user can also specify a query, topic, and terms that he/she is interested in. This method determines the importance of each sentence by using the linguistic salience of the word to the user profile, the similarity among the word, the query and topic provided by a user and the sum of scores of the sentence comprising the word. After computing the score for each word, this method computes the score for each sentence in the set of sentences according to the score of words composing it and the position of the sentence in a section and a paragraph.

Abstract: A method and program product to generate summaries for text documents. A user can also specify a query, topic, and terms that he/she is interested in. This method determines the importance of each sentence by using the linguistic salience of the word to the user profile, the similarity among the word, the query and topic provided by a user and the sum of scores of the sentence comprising the word. After computing the score for each word, this method computes the score for each sentence in the set of sentences according to the score of words composing it and the position of the sentence in a section and a paragraph.