WO2019024246A1 - 信息屏蔽方法及系统 - Google Patents

信息屏蔽方法及系统 Download PDF

Info

Publication number
WO2019024246A1
WO2019024246A1 PCT/CN2017/105593 CN2017105593W WO2019024246A1 WO 2019024246 A1 WO2019024246 A1 WO 2019024246A1 CN 2017105593 W CN2017105593 W CN 2017105593W WO 2019024246 A1 WO2019024246 A1 WO 2019024246A1
Authority
WO
WIPO (PCT)
Prior art keywords
word
words
test
masked
test paper
Prior art date
Application number
PCT/CN2017/105593
Other languages
English (en)
French (fr)
Inventor
卢楷槟
卢鑫
刘善果
Original Assignee
深圳市鹰硕技术有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 深圳市鹰硕技术有限公司 filed Critical 深圳市鹰硕技术有限公司
Publication of WO2019024246A1 publication Critical patent/WO2019024246A1/zh

Links

Images

Classifications

    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B7/00Electrically-operated teaching apparatus or devices working with questions and answers
    • G09B7/02Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student

Definitions

  • the present invention relates to the field of information processing, and in particular, to a method and system for shielding information during an examination process.
  • the way of network teaching is not restricted by time and place, and can be conveniently used by users at any time and place according to their own needs.
  • an examination session is generally set up to evaluate the students' course learning.
  • the test conducted on the user terminal will generally take the test without networking, to avoid the candidate's online search for the test answer during the test.
  • the intelligent association function of the input method has more and more simplified the input operation of people. People generally input the sequence of characters of a certain word. The input method displays the word and also displays the word.
  • the shielding function of output words often adopts a method of directly shielding sensitive words. For example, according to the input content of the user, a plurality of candidate words of the input content are obtained, and it is determined whether the candidate word is a preset mask word, and if it is a preset mask word, the candidate word is processed by not displaying. But the problem with using this method directly in the online exam is that although you can avoid outputting sensitive words, it will also cause candidates to fail to output the corresponding answers. For example, the answer to the question is “Colorful Clouds”, but since “Colorful Clouds” is set as a sensitive word, even if the candidate knows the answer, the word cannot be output because the word is blocked.
  • Another way that can be employed in the prior art is to select the input method used in the examination system as an input method that does not have an associative function. Although this method can avoid the leakage of the answer due to the association function of the input method during the test, the user will also reduce the answer speed because the input method has no association function, and thus may be affected. Test scores.
  • the prior art considers rewriting the vocabulary used by the input method for the text content involved in the test answer, and does not associate the words having the context relationship in the text content of the test answer, that is, canceling the association between them. Sex, so that the answer content is not automatically output as a predictive word.
  • this method of redesigning the thesaurus requires updating the thesaurus every time the exam is conducted, which leads to tedious work.
  • the technical problem to be solved by the present invention is how to associate the words involved in the test content in the examination process without modifying the input method vocabulary.
  • the present invention provides an information screening method for shielding related words during an examination, which includes:
  • Step S101 establishing a mask word dictionary
  • Step S102 enter an examination system, and obtain a blocked word dictionary
  • Step S103 obtaining a sequence of characters input by the candidate
  • Step S104 determining a reference word to be masked according to the input character sequence
  • step S105 a displayable word is output.
  • the step S101 specifically includes: obtaining the answer of the test question and the test paper number of the test; analyzing the text content of the answer according to the answer of the test question, and using the analyzed contextual word as the related word to establish a mask word vocabulary, And stored in the teaching server.
  • the masked word dictionary has a thesaurus number corresponding to the corresponding test paper number.
  • Step S102 specifically includes: selecting a test paper to be completed, and obtaining a masked word vocabulary belonging to the test paper from the teaching server according to the number of the test paper.
  • Step S104 specifically includes:
  • Step S1041 Acquire basic words and associative words according to the input character sequence
  • Step S1042 Perform word segmentation on the determined associative words to obtain related words
  • step S1043 it is confirmed whether the acquired related words exist in the blocked word vocabulary, and the associated words corresponding to the related words existing in the blocked word lexicon are used as words to be shielded.
  • the invention also provides an information screening system for shielding related words during the examination process, the system comprising a student end, a teacher end and a teaching server.
  • the teacher side is used to obtain the test answer of the test before the test, and generate a mask word vocabulary to send to the teaching server;
  • the student end includes an input unit, a mask word acquisition unit, a mask confirmation unit, and an output unit, wherein
  • the masked word dictionary obtaining unit is used to obtain a masked word dictionary
  • the input unit is configured to obtain a sequence of characters input by the candidate
  • the mask word confirmation unit obtains the basic word and the associative word according to the input character sequence, performs word segmentation processing on the determined associative word, obtains the related word, confirms whether the acquired related word exists in the masked word dictionary, and exists in the mask word word Associative words corresponding to related words in the library as words to be shielded
  • the output unit outputs the associative word information that can be displayed.
  • the teacher obtains the test answer of the test and the test paper number of the test, analyzes the text content of the answer according to the answer of the test question, and analyzes the contextually-characterized word as a related word, establishes a blocked word vocabulary, and stores Go to the teaching server.
  • the masked word dictionary has a thesaurus number corresponding to the corresponding test paper number.
  • the masked word dictionary obtaining unit obtains the test paper number according to the test paper selected by the candidate, and sends the test paper number to the teaching server;
  • the teaching server After receiving the test paper number, the teaching server obtains the masked word database number of the test paper, and then obtains the blocked word dictionary, and sends the mask word database to the mask word database acquisition unit.
  • the contact information of the input method is effectively avoided during the examination process, and the answer information is presented to the candidate.
  • the page effectively simplifies the processing of associated word masking.
  • FIG. 1 is a flowchart of an information masking method according to an embodiment of the present invention.
  • FIG. 2 is a structural diagram of an information shielding system according to an embodiment of the present invention.
  • the term "student” or “teacher” in the context is “computer device”, which refers to an intelligent electronic device that can perform predetermined processing such as numerical calculation and/or logical calculation by running a predetermined program or instruction, which can
  • the processor and the memory are executed by the processor to execute a predetermined process pre-stored in the memory to execute a predetermined process, or a predetermined process is performed by hardware such as an ASIC, an FPGA, a DSP, or the like, or a combination of the two.
  • the computer device includes a user device and/or a network device.
  • the user equipment includes, but is not limited to, a computer, a smart phone, a PDA, etc.
  • the network device includes but is not limited to a single network server, a server group composed of multiple network servers, or a cloud computing based computer Or a cloud composed of a network server, wherein cloud computing is a type of distributed computing, a super virtual computer composed of a group of loosely coupled computers.
  • the computer device can be operated separately to implement the present invention, and can also access the network and implement the present invention by interacting with other computer devices in the network.
  • the network in which the computer device is located includes, but is not limited to, the Internet, a wide area network, Metropolitan area network, local area network, VPN network, etc.
  • the user equipment, the network equipment, the network, and the like are merely examples, and other existing or future possible computer equipment or networks, such as those applicable to the present invention, are also included in the scope of the present invention. It is included here by reference.
  • the present invention can be applied to mobile terminals and non-mobile terminals.
  • the method or apparatus according to the present invention can be used for providing and presenting.
  • FIG. 1 is a flowchart of an information masking method of the present invention, including an S101 masked word dictionary establishing step, a S102 masking word dictionary obtaining step, an S103 character sequence obtaining step, an S104 masking association word determining step, and S105 displaying a word output. step.
  • a mask word dictionary is created. Get the answer to the test for an exam and set the test number for the exam paper. According to the answer to the test questions, the text content of the answer is analyzed, and the analyzed contextual words are used as related words, and the blocked word vocabulary is built and stored in the teaching server.
  • the masked word vocabulary has a lexicon number corresponding to the corresponding test paper number, and the affixed word vocabulary contains the associated words themselves and the relationship between them.
  • step S102 the test system is entered to obtain a blocked word dictionary.
  • the candidate enters the examination system on the student side, select the exam paper to be completed.
  • the student side according to the test paper number of the test paper, from the teaching server Get the masked word lexicon that belongs to the test paper.
  • the student end obtains the test paper number of the test paper according to the test paper selected by the candidate, and sends the test paper number to the teaching server, and the teaching server obtains the mask word number of the test paper after receiving the test paper number, and then obtains the shielding.
  • Thesaurus the test paper number of the test paper according to the test paper selected by the candidate, and sends the test paper number to the teaching server, and the teaching server obtains the mask word number of the test paper after receiving the test paper number, and then obtains the shielding.
  • Thesaurus the teaching server obtains the mask word number of the test paper after receiving the test paper number, and then obtains the shielding.
  • the student end sends the test paper number to the server through the network, including but not limited to the Internet, a wide area network, a metropolitan area network, a local area network, a VPN network, a wireless ad hoc network (Ad Hoc network), and the like.
  • the network including but not limited to the Internet, a wide area network, a metropolitan area network, a local area network, a VPN network, a wireless ad hoc network (Ad Hoc network), and the like.
  • Step S103 obtaining a sequence of characters input by the user.
  • the candidate inputs a sequence of characters that he or she wants to input through any interactive device that can perform human-computer interaction with the student terminal, and the interactive device can be a keyboard, a mouse, a remote controller, a touch pad, or a voice control device.
  • the interactive device can be a keyboard, a mouse, a remote controller, a touch pad, or a voice control device.
  • the user inputs the sequence to be input through the keyboard in the input box displayed by the student terminal, for example, input "zhaocib".
  • Step S104 determining the associative words to be masked according to the input character sequence.
  • Step S1041 Acquire basic words and associative words according to the input character sequence.
  • the input method used by the student end searches for the word information matching the current input sequence in the used dictionary of the terminology used according to the analysis.
  • the associative lexicon is a vocabulary used by the input method, and the input matching manner includes but is not limited to prefix matching.
  • the matching information obtained by the student end after querying the associative lexicon and the “zhaocib” includes: “According to this”, “Chao Ci Bai Di Cai Yun”, “Let's resign", “Calling”, “According to this” and other information.
  • Step S1042 Perform word segmentation on the determined associative words to obtain related words.
  • the determined associative words are processed by word segmentation, the basic words in the associative words are split with other words, and the words adjacent to the basic words are regarded as "related words".
  • the associative words of the sequence “zhaocib” input by the user include “according to this”, “towards the resignation of Baidi’s colorful clouds” and “towards the rhetoric”.
  • the basic words “the rhyme” and “according to this” are obtained.
  • the adjacent related words include "do", "Bai Di” and "bar”.
  • step S1043 it is confirmed whether the acquired related words exist in the blocked word vocabulary, and the associated words corresponding to the related words existing in the blocked word lexicon are used as words to be shielded.
  • step S105 a displayable word is output.
  • Words other than the associative words that need to be masked in the words corresponding to the input character sequence are provided as internal test words as displayable associative words.
  • the associative word information such as "According to this”, “Responsibility”, “Cycle”, “According to this”, etc., is used as the associative word information that can be finally displayed to the candidate.
  • FIG. 2 shows an information screening system in accordance with an embodiment of the present invention.
  • the system includes a student 1, a teacher 2 and a teaching server 3.
  • the teaching server 3 stores a masked word vocabulary of the candidate test paper.
  • the teacher 2 Before taking the exam, the teacher 2 obtains the answer to the test of the exam and the test paper number of the exam. According to the answer of the test question, the text content of the answer is analyzed, and the analyzed contextual word is used as the related word, and the mask word dictionary is built and stored in the teaching server 3.
  • the masked word dictionary has a thesaurus number corresponding to the corresponding test paper number.
  • the student terminal 1 includes an input unit 11, a masked word dictionary acquisition unit 12, a mask word confirmation unit 13, and an output unit 14.
  • the candidate After the candidate enters the examination system through the student 1, the candidate selects the examination paper to be completed, and the masked word acquisition unit 12 obtains the masked word dictionary. Specifically, the masked word dictionary obtaining unit 12 acquires the test paper number according to the test paper selected by the candidate and transmits the test paper number to the teaching server 3. After receiving the test paper number, the teaching server 3 obtains the mask word number of the test paper, and obtains the mask word database. The masked word dictionary is sent to the masked word dictionary acquisition unit 12.
  • the input unit 11 acquires a sequence of characters input by the candidate.
  • Candidates can input the sequence of characters they want to input through any interactive device that can interact with the student terminal.
  • the interactive device can be a keyboard, mouse, remote control, touch pad or voice control device. Taking the keyboard as an example, the user inputs the sequence to be input through the keyboard in the input box displayed by the student terminal, for example, input "zhaocib".
  • the mask word confirming unit 13 determines the association word to be masked based on the input character sequence.
  • the basic words and associative words are obtained according to the input character sequence.
  • the input method used by the student end searches for the word information matching the current input sequence in the used dictionary of the terminology used according to the analysis.
  • the associative lexicon is a vocabulary used by the input method, and the input matching manner includes but is not limited to prefix matching.
  • the matching information obtained by the student end after querying the associative lexicon and the “zhaocib” includes: “According to this”, “Chao Ci Bai Di Cai Yun”, “Let's resign", “Calling”, “According to this” and other information.
  • word segmentation processing is performed on the determined associative words to obtain related words.
  • the mask word confirming unit 13 performs word segmentation processing on the determined associative words, and the base words in the associative words are split with other words, and the words adjacent to the base words are referred to as "association words".
  • association words For example, the associative words of the sequence “zhaocib” input by the user include “according to this”, “towards the resignation of Baidi’s colorful clouds” and “towards the rhetoric”.
  • the basic words “the rhyme” and “according to this” are obtained. "The adjacent related words include "do", “Bai Di” and "bar”.
  • the related words that are associated with the above basic words are searched for in the blocked word lexicon.
  • the "words” and “Bai Di” in the lexical lexicon are related words.
  • “Bai Di” and “Caiyun” are also related words. Therefore, the associative word "between the words of the dynasty” is used as a mask word to be shielded, and is supplied to the output unit 14 by the mask word confirming unit 13.
  • the output unit 14 Based on the mask word provided by the mask word confirming unit 13, the output unit 14 outputs a displayable word. Specifically, the output unit 14 provides the internal candidate as a displayable associative word information by using words other than the associative words to be masked among the words corresponding to the input character sequence. For example, the associative word information such as “According to this”, “Responsibility”, “Cycle”, “According to this”, etc., is used as the associative word information that can be finally displayed to the candidate.
  • the computer readable storage medium can include: read only storage (ROM, Read Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk.
  • the contact information of the input method is effectively avoided during the examination process, and the answer information is presented to the candidate.
  • the page effectively simplifies the processing of the associated word mask.

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Educational Administration (AREA)
  • Educational Technology (AREA)
  • General Physics & Mathematics (AREA)
  • Electrically Operated Instructional Devices (AREA)
  • Machine Translation (AREA)

Abstract

一种信息屏蔽方法,用于在考试过程中屏蔽关联词,该方法包括:步骤S101,建立屏蔽词词库;步骤S102,进入考试系统,获取屏蔽词词库;步骤S103,获取考生输入的字符序列;步骤S104,根据输入的字符序列,确定需要屏蔽的联想词;步骤S105,输出可显示的词语。

Description

信息屏蔽方法及系统 技术领域
本发明涉及信息处理领域,尤其涉及一种在考试过程中屏蔽信息的方法及系统。
背景技术
随着网络教学的不断普及,网络授课的方式因不受时间和地点的约束,可方便地供用户根据其自身的需求而随时随地采用。在网络教学的过程中,为了了解学生学习效果,一般会设置考试环节,以对学生的课程学习进行评价。这种在用户终端上进行的考试,为了保证学生考试成绩的真实性,一般会采取在不联网的情况下进行考试,以避免在考试过程中考生通过网络查找考试答案。但随着输入法的不断改进,输入法的智能联想功能越来越简化人们的输入操作,人们一般输入某个词语的字符序列,输入法在展现该词语的同时,还会展示与该词语有相似字符序列组成的其他词语以及该词语之后的联想词,这种输入词语联想功能,容易导致由于输入法的联想功能,而将考试的相关答案带出的问题。例如,语文考试中,要求考生填写诗句“朝辞白帝______,千里江陵______”中空白处的内容,在使用带有联想功能输入法进行输入时,考生仅需要输入“zhaocib”,输入法便会联想出“朝辞”、“朝辞吧”、“照此”、“朝辞白帝彩云间”等内容,由此便将诗句“朝辞白帝彩云间”的内容泄露。为了避免输入法的联想功能对考试所带来的弊端,需要对输入法的输出词语设置屏蔽功能。
现有技术中关于输出词语的屏蔽功能,往往采用直接屏蔽敏感词的方式。例如,根据用户的输入内容,获取该输入内容的多个候选词,判断该候选词是否为预设屏蔽词,如果是预设屏蔽词,则对候选词采用不显示的处理方式。但将这种方式直接用于网络考试中的问题是,虽然可以避免输出敏感词,但也会导致考生无法输出相应的答案。例如,考题答案为“彩云间”,但由于将“彩云间”设置为敏感词,使得考生即便知晓答案,也因该词语被屏蔽而无法输出。
现有技术中另一种可采用的方式是将考试系统中所使用的输入法选为不具联想功能的输入法。这种方式虽然可以避免在考试过程中因输入法的联想功能而将答案泄露,但用户也会因输入法无联想功能而降低答题速度,进而可能影 响考试成绩。
又或者,现有技术考虑针对考试答案涉及的文字内容,将输入法所使用的词库进行重新设计,将考试答案的文字内容中存在上下文关系的词语不进行关联,即取消它们之间的关联性,从而不会将答案内容作为联想词被自动输出。但这种对词库进行重新设计的方法,需要在每次考试时都对词库进行更新,从而导致了工作繁琐。
因此,有必要在考试系统中提供一种信息屏蔽方法,该方法既不影响输入法正常的联想功能,也无需重新设计输入法所使用的词库,便可以起到屏蔽与考试信息相关的联想词语的作用。
发明内容
为此,本发明所要解决的技术问题是如何在考试过程中,在不修改输入法词库的情况下,对考试内容所涉及的词语进行联想屏蔽。
为此,本发明提供一种信息屏蔽方法,用于在考试过程中屏蔽关联词,其包括:
步骤S101,建立屏蔽词词库;
步骤S102,进入考试系统,获取屏蔽词词库;
步骤S103,获取考生输入的字符序列;
步骤S104,根据输入的字符序列,确定需要屏蔽的联想词;
步骤S105,输出可显示的词语。
其中,步骤S101具体包括,获取考试的试题答案及该考试的试卷编号;根据试题答案,对答案的文字内容进行分析,将分析出来的具有上下文关系的词作为关联词语,建立屏蔽词词库,并存储到教学服务器中。
所述屏蔽词词库具有与相应试卷编号对应的词库编号。
步骤S102具体包括,选择要完成的考试试卷,根据该试卷的编号,从教学服务器获取属于该试卷的屏蔽词词库。
步骤S104具体包括:
步骤S1041,根据输入的字符序列获取基础词和联想词;
步骤S1042,对所确定的联想词进行分词处理,获取关联词;
步骤S1043,确认所获取的关联词是否存在于屏蔽词词库中,并将存在于屏蔽词词库中的关联词所对应的联想词作为需要屏蔽的词语。
本发明还提供了一种信息屏蔽系统,用于在考试过程中屏蔽关联词,该系统包括学生端、教师端和教学服务器。
教师端用于在考试前获取考试的试题答案,并生成屏蔽词词库发送给教学服务器;
教学服务器中存有考生试卷的屏蔽词词库;
学生端包括输入单元、屏蔽词词库获取单元、屏蔽词确认单元、输出单元,其中
屏蔽词词库获取单元用于获取屏蔽词词库;
输入单元用于获取考生输入的字符序列;
屏蔽词确认单元根据输入的字符序列获取基础词和联想词,对所确定的联想词进行分词处理,获取关联词,确认所获取的关联词是否存在于屏蔽词词库中,并将存在于屏蔽词词库中的关联词所对应的联想词作为需要屏蔽的词语
输出单元输出可显示的联想词信息。
优选的,教师端获取考试的试题答案及该考试的试卷编号,根据试题答案,对答案的文字内容进行分析,将分析出来的具有上下文关系的词作为关联词语,建立屏蔽词词库,并存储到教学服务器中。
所述屏蔽词词库具有与相应试卷编号对应的词库编号。
优选的,屏蔽词词库获取单元根据考生选择的试卷,获取试卷编号并将该试卷编号发送给教学服务器;
教学服务器接收到试卷编号后获取该试卷的屏蔽词词库编号,进而获得屏蔽词词库,并将该屏蔽词词库发送给屏蔽词词库获取单元。
通过本发明的信息屏蔽方法和系统,有效的避免了在考试过程中,因输入法的联想功能,而向考生提示答案信息。同时,通过针对试卷设置屏蔽词词库, 页有效地简化了关联词语屏蔽的处理过程。
附图说明
为了更清楚地说明本发明实施例中的技术方案,下面将对本发明实施例描述中所需要使用的附图作简单的介绍,显而易见地,下面描述中的附图仅仅是本发明的一些实施例,对于本领域普通技术人员来讲,在不付出创造性劳动的前提下,还可以根据本发明实施例的内容和这些附图获得其他的附图。
图1是根据本发明实施例的信息屏蔽方法的流程图;和
图2是根据本发明实施例的信息屏蔽系统的结构图。
具体实施方式
在更加详细地讨论示例性实施例之前应当提到的是,一些示例性实施例被描述成作为流程图描绘的处理或方法。虽然流程图将各项操作描述成顺序的处理,但是其中的许多操作可以被并行地、并发地或者同时实施。此外,各项操作的顺序可以被重新安排。当其操作完成时所述处理可以被终止,但是还可以具有未包括在附图中的附加步骤。
在上下文中所称“学生端”或“教师端”即为“计算机设备”,是指可以通过运行预定程序或指令来执行数值计算和/或逻辑计算等预定处理过程的智能电子设备,其可以包括处理器与存储器,由处理器执行在存储器中预存的存续指令来执行预定处理过程,或是由ASIC、FPGA、DSP等硬件执行预定处理过程,或是由上述二者组合来实现。
所述计算机设备包括用户设备和/或网络设备。其中,所述用户设备包括但不限于电脑、智能手机、PDA等;所述网络设备包括但不限于单个网络服务器、多个网络服务器组成的服务器组或基于云计算(Cloud Computing)的由大量计算机或网络服务器构成的云,其中,云计算是分布式计算的一种,由一群松散耦合的计算机集组成的一个超级虚拟计算机。其中,所述计算机设备可单独运行来实现本发明,也可接入网络并通过与网络中的其他计算机设备的交互操作来实现本发明。其中,所述计算机设备所处的网络包括但不限于互联网、广域网、 城域网、局域网、VPN网络等。
需要说明的是,所述用户设备、网络设备和网络等仅为举例,其他现有的或今后可能出现的计算机设备或网络如可适用于本发明,也应包含在本发明保护范围以内,并以引用方式包含于此。
在此,本领域技术人员应能理解,本发明可应用于移动端与非移动端,例如,当用户使用手机或PC时,均可利用本发明所述的方法或装置来进行提供与呈现。
这里所公开的具体结构和功能细节仅仅是代表性的,并且是用于描述本发明的示例性实施例的目的。但是本发明可以通过许多替换形式来具体实现,并且不应当被解释成仅仅受限于这里所阐述的实施例。
这里所使用的术语仅仅是为了描述具体实施例而不意图限制示例性实施例。除非上下文明确地另有所指,否则这里所使用的单数形式“一个”、“一项”还意图包括复数。还应当理解的是,这里所使用的术语“包括”和/或“包含”规定所陈述的特征、整数、步骤、操作、单元和/或组件的存在,而不排除存在或添加一个或更多其他特征、整数、步骤、操作、单元、组件和/或其组合。
还应当提到的是,在一些替换实现方式中,所提到的功能/动作可以按照不同于附图中标示的顺序发生。举例来说,取决于所涉及的功能/动作,相继示出的两幅图实际上可以基本上同时执行或者有时可以按照相反的顺序来执行。
下面结合附图对本发明作进一步详细描述。
图1示出了本发明的信息屏蔽方法的流程图,包括S101屏蔽词词库建立步骤、S102屏蔽词词库获取步骤、S103字符序列获取步骤、S104屏蔽联想词确定步骤、S105可显示词语输出步骤。
在步骤S101,建立屏蔽词词库。获取某一考试的试题答案,并对该考试的试卷设置试卷编号。根据试题答案,对答案的文字内容进行分析,将分析出来的具有上下文关系的词作为关联词语,建立屏蔽词词库,并存储到教学服务器中。所述屏蔽词词库具有与相应试卷编号对应的词库编号,所述屏蔽词词库中存有关联词语本身及它们之间的关联关系。
步骤S102,进入考试系统,获取屏蔽词词库。当考生在学生端进入考试系统后,选择要完成的考试试卷。学生端根据该试卷的试卷编号,从教学服务器 获取属于该试卷的屏蔽词词库。具体地,学生端根据考生所选择的试卷,获取该试卷的试卷编号,并将该试卷编号发送给教学服务器,教学服务器在接收到试卷编号后获取该试卷的屏蔽词词库编号,进而获得屏蔽词词库。其中,学生端通过网络向服务器发送试卷编号,所述网络包括但不限于互联网、广域网、城域网、局域网、VPN网络、无线自组织网络(Ad Hoc网络)等。
步骤S103,获取用户输入的字符序列。在步骤S103中,考生通过任何一种可与学生终端进行人机交互的交互设备来输入其想要输入的字符序列,该交互设备可以是键盘、鼠标、遥控器、触摸板或声控设备等。以键盘为例,用户通过键盘在学生终端所显示的输入框中输入想要输入的序列,例如,输入“zhaocib”。
步骤S104,根据输入的字符序列,确定需要屏蔽的联想词。
步骤S1041,根据输入的字符序列获取基础词和联想词。
具体地,针对所述当前输入序列,学生端所使用的输入法根据分析,在其所使用的联想词库中查找与所述当前输入序列相匹配的词语信息。所述联想词库为输入法所使用的词库,所述输入匹配方式包括但不限于前缀匹配。例如,当考生在输入框的当前输入序列为“zhaocib”,学生端查询联想词库后获得的前缀与“zhaocib”相匹配信息包括:“照此办”、“朝辞白帝彩云间”、“朝辞吧”、“朝辞”、“照此”等等信息。从考生输入的内容可以看出,输入法所匹配出的上述内容中,其中“朝辞”、“照此”为根据输入序列完全匹配出来的词语,我们把这种词语称为“基础词”。而匹配内容中的“照此办”、“朝辞白帝彩云间”、“朝辞吧”则属于根据输入序列联想出来的“联想词”。
步骤S1042,对所确定的联想词进行分词处理,获取关联词。
对所确定的联想词进行分词处理,联想词中的基础词与其它词语进行拆分,将与基础词相邻的词语作为“关联词”。例如,用户输入的序列“zhaocib”的联想词包括“照此办”、“朝辞白帝彩云间”、“朝辞吧”,经过分词处理,获得与基础词“朝辞”、“照此”相邻的关联词包括“办”、“白帝”和“吧”。
步骤S1043,确认所获取的关联词是否存在于屏蔽词词库中,并将存在于屏蔽词词库中的关联词所对应的联想词作为需要屏蔽的词语。
在上例中,根据所获取的基础词“朝辞”和“照此”在屏蔽词词库中查找, 与上述基础词存在关联关系的关联词。经过查找,屏蔽词词库中“朝辞”与“白帝”互为关联词语,进一步地,词库中“白帝”与“彩云”也属于关联词语。因此将“朝辞”所涉及的联想词“朝辞白帝彩云间”作为需要屏蔽的屏蔽词,提供给学生端的相应处理模块。
步骤S105,输出可显示的词语。将输入字符序列所对应的词语中除需要屏蔽的联想词之外的词语,作为可显示的联想词信息提供内考生。例如,将“照此办”、“朝辞吧”、“朝辞”、“照此”等联想词信息作为最终可显示给考生的联想词信息。
图2示出了根据本发明实施例的信息屏蔽系统。该系统包括学生端1、教师端2和教学服务器3。
教学服务器3中存有考生试卷的屏蔽词词库。
在进行考试前,教师端2获取某一考试的试题答案及该考试的试卷编号。根据试题答案,对答案的文字内容进行分析,将分析出来的具有上下文关系的词作为关联词语,建立屏蔽词词库,并存储到教学服务器3中。所述屏蔽词词库具有与相应试卷编号对应的词库编号。
学生端1包括输入单元11、屏蔽词词库获取单元12、屏蔽词确认单元13、输出单元14。
当考生通过学生端1进入考试系统后,考生选择要完成的考试试卷,屏蔽词词库获取单元12获取屏蔽词词库。具体地,屏蔽词词库获取单元12根据考生选择的试卷,获取试卷编号并将该试卷编号发送给教学服务器3。教学服务器3接收到试卷编号后获取该试卷的屏蔽词词库编号,进而获得屏蔽词词库。将该屏蔽词词库发送给屏蔽词词库获取单元12。
输入单元11获取考生输入的字符序列。考生可通过任何一种可与学生终端进行人机交互的交互设备来输入其想要输入的字符序列,该交互设备可以是键盘、鼠标、遥控器、触摸板或声控设备等。以键盘为例,用户通过键盘在学生终端所显示的输入框中输入想要输入的序列,例如,输入“zhaocib”。
屏蔽词确认单元13根据输入的字符序列,确定需要屏蔽的联想词。
首先,根据输入的字符序列获取基础词和联想词。
具体地,针对所述当前输入序列,学生端所使用的输入法根据分析,在其所使用的联想词库中查找与所述当前输入序列相匹配的词语信息。所述联想词库为输入法所使用的词库,所述输入匹配方式包括但不限于前缀匹配。例如,当考生在输入框的当前输入序列为“zhaocib”,学生端查询联想词库后获得的前缀与“zhaocib”相匹配信息包括:“照此办”、“朝辞白帝彩云间”、“朝辞吧”、“朝辞”、“照此”等等信息。从考生输入的内容可以看出,输入法所匹配出的上述内容中,其中“朝辞”、“照此”为根据输入序列完全匹配出来的词语,我们把这种词语称为“基础词”。而匹配内容中的“照此办”、“朝辞白帝彩云间”、“朝辞吧”则属于根据输入序列联想出来的“联想词”。
接下来,对所确定的联想词进行分词处理,获取关联词。
屏蔽词确认单元13对所确定的联想词进行分词处理,联想词中的基础词与其它词语进行拆分,将与基础词相邻的词语作为“关联词”。例如,用户输入的序列“zhaocib”的联想词包括“照此办”、“朝辞白帝彩云间”、“朝辞吧”,经过分词处理,获得与基础词“朝辞”、“照此”相邻的关联词包括“办”、“白帝”和“吧”。
最后,确认所获取的关联词是否存在于屏蔽词词库中,并将存在于屏蔽词词库中的关联词所对应的联想词作为需要屏蔽的词语。
在上例中,根据所获取的基础词“朝辞”和“照此”在屏蔽词词库中查找,与上述基础词存在关联关系的关联词。经过查找,屏蔽词词库中“朝辞”与“白帝”互为关联词语,进一步地,“白帝”与“彩云”也属于关联词语。因此将“朝辞”所涉及的联想词“朝辞白帝彩云间”作为需要屏蔽的屏蔽词,由屏蔽词确认单元13提供给输出单元14。
根据屏蔽词确认单元13提供的屏蔽词,输出单元14输出可显示的词语。具体地,输出单元14将输入字符序列所对应的词语中除需要屏蔽的联想词之外的词语,作为可显示的联想词信息提供内考生。例如,将“照此办”、“朝辞吧”、“朝辞”、“照此”等联想词信息作为最终可显示给考生的联想词信息。
本领域普通技术人员可以理解上述实施例的各种方法中的全部或部分步骤是可以通过计算机程序来指令相关的硬件来完成,该程序可以存储于一计算机可读存储介质中,并由处理器执行。计算机可读存储介质可以包括:只读存储 器(ROM,Read Only Memory)、随机存取存储器(RAM,Random Access Memory)、磁盘或光盘等。
以上介绍了本发明的较佳实施方式,旨在使得本发明的精神更加清楚和便于理解,并不是为了限制本发明,凡在本发明的精神和原则之内,所做的修改、替换、改进,均应包含在本发明所附的权利要求概括的保护范围之内。
工业实用性
通过本发明的信息屏蔽方法和系统,有效的避免了在考试过程中,因输入法的联想功能,而向考生提示答案信息。同时,通过针对试卷设置屏蔽词词库,页有效地简化了关联词语屏蔽的处理过程。

Claims (11)

  1. 一种信息屏蔽方法,用于在考试过程中屏蔽联想词,其特征在于:
    步骤S101,建立屏蔽词词库;
    步骤S102,进入考试系统,获取屏蔽词词库;
    步骤S103,获取考生输入的字符序列;
    步骤S104,根据输入的字符序列,确定需要屏蔽的联想词;
    步骤S105,输出可显示的词语。
  2. 根据权利要求1的方法,其特征在于:
    步骤S101具体包括,获取考试的试题答案及该考试的试卷编号;根据试题答案,对答案的文字内容进行分析,将分析出来的具有上下文关系的词作为关联词语,建立屏蔽词词库,并存储到教学服务器中。
  3. 根据权利要求2的方法,其特征在于:
    所述屏蔽词词库具有与相应试卷编号对应的词库编号。
  4. 根据权利要求1的方法,其特征在于:
    步骤S102具体包括,选择要完成的考试试卷,根据该试卷的编号,从教学服务器获取属于该试卷的屏蔽词词库。
  5. 根据权利要求1的方法,其特征在于:
    步骤S104具体包括:
    步骤S1041,根据输入的字符序列获取基础词和联想词;
    步骤S1042,对所确定的联想词进行分词处理,获取关联词;
    步骤S1043,确认所获取的关联词是否存在于屏蔽词词库中,并将存在于屏蔽词词库中的关联词所对应的联想词作为需要屏蔽的词语。
  6. 一种信息屏蔽系统,用于在考试过程中屏蔽关联词,该系统包括学生端、教师端和教学服务器,其特征在于:
    教师端用于在考试前获取考试的试题答案,并生成屏蔽词词库发送给教学服务器;
    教学服务器中存有考生试卷的屏蔽词词库;
    学生端包括输入单元、屏蔽词词库获取单元、屏蔽词确认单元、输出单元,其中
    屏蔽词词库获取单元用于获取屏蔽词词库;
    输入单元用于获取考生输入的字符序列;
    屏蔽词确认单元根据输入的字符序列确定需要屏蔽的联想词;
    输出单元输出可显示的联想词信息。
  7. 根据权利要求6所述的系统,其特征在于:
    教师端获取考试的试题答案及该考试的试卷编号,根据试题答案,对答案的文字内容进行分析,将分析出来的具有上下文关系的词作为关联词语,建立屏蔽词词库,并存储到教学服务器中。
  8. 根据权利要求7所述的系统,其特征在于:
    所述屏蔽词词库具有与相应试卷编号对应的词库编号。
  9. 根据权利要求6所述的系统,其特征在于:
    屏蔽词词库获取单元根据考生选择的试卷,获取试卷编号并将该试卷编号发送给教学服务器;
    教学服务器接收到试卷编号后获取该试卷的屏蔽词词库编号,进而获得屏蔽词词库,并将该屏蔽词词库发送给屏蔽词词库获取单元。
  10. 根据权利要求6所述的系统,其特征在于:
    屏蔽词确认单元根据输入的字符序列获取基础词和联想词,对所确定的联想词进行分词处理,获取关联词,确认所获取的关联词是否存在于屏蔽词词库中,并将存在于屏蔽词词库中的关联词所对应的联想词作为需要屏蔽的词语。
  11. 一种计算机可读存储介质,其上存储有计算机程序,其特征在于,该程序被处理器执行时实现如权利要求1-5中任一权利要求所包含的步骤。
PCT/CN2017/105593 2017-08-01 2017-10-11 信息屏蔽方法及系统 WO2019024246A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201710648760.7 2017-08-01
CN201710648760.7A CN107424461B (zh) 2017-08-01 2017-08-01 信息屏蔽方法及系统

Publications (1)

Publication Number Publication Date
WO2019024246A1 true WO2019024246A1 (zh) 2019-02-07

Family

ID=60437062

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2017/105593 WO2019024246A1 (zh) 2017-08-01 2017-10-11 信息屏蔽方法及系统

Country Status (2)

Country Link
CN (1) CN107424461B (zh)
WO (1) WO2019024246A1 (zh)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109271495B (zh) * 2018-08-14 2023-02-17 创新先进技术有限公司 问答识别效果检测方法、装置、设备及可读存储介质
CN117272989B (zh) * 2023-11-21 2024-02-06 浙江无端科技股份有限公司 基于字符编码压缩的屏蔽词识别方法、装置、设备及介质

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101055588A (zh) * 2007-05-25 2007-10-17 北京搜狗科技发展有限公司 获取限制词信息的方法、优化输出的方法和输入法系统
CN101694608A (zh) * 2008-12-04 2010-04-14 北京搜狗科技发展有限公司 一种输入法及输入法系统
US8539349B1 (en) * 2006-10-31 2013-09-17 Hewlett-Packard Development Company, L.P. Methods and systems for splitting a chinese character sequence into word segments
CN105511638A (zh) * 2015-12-03 2016-04-20 魅族科技(中国)有限公司 输入法应用方法和装置

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TW200734983A (en) * 2006-03-08 2007-09-16 Chien-Wei Wu Searching-to-learn : Language learning supplementary system
CN103440299B (zh) * 2013-08-20 2016-12-28 陈喜 一种基于焦点上下文联想词的信息快速输入方法
CN105204661B (zh) * 2015-10-20 2018-01-26 广东欧珀移动通信有限公司 输入法的屏蔽词的过滤方法及装置
CN106484137A (zh) * 2016-09-26 2017-03-08 宇龙计算机通信科技(深圳)有限公司 输入方法及其移动终端

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8539349B1 (en) * 2006-10-31 2013-09-17 Hewlett-Packard Development Company, L.P. Methods and systems for splitting a chinese character sequence into word segments
CN101055588A (zh) * 2007-05-25 2007-10-17 北京搜狗科技发展有限公司 获取限制词信息的方法、优化输出的方法和输入法系统
CN101694608A (zh) * 2008-12-04 2010-04-14 北京搜狗科技发展有限公司 一种输入法及输入法系统
CN105511638A (zh) * 2015-12-03 2016-04-20 魅族科技(中国)有限公司 输入法应用方法和装置

Also Published As

Publication number Publication date
CN107424461B (zh) 2019-12-03
CN107424461A (zh) 2017-12-01

Similar Documents

Publication Publication Date Title
JP7127106B2 (ja) 質問応答処理、言語モデルの訓練方法、装置、機器および記憶媒体
US11651236B2 (en) Method for question-and-answer service, question-and-answer service system and storage medium
CN110399470B (zh) 会话消息处理
US9766868B2 (en) Dynamic source code generation
CN116521841B (zh) 用于生成回复信息的方法、装置、设备及介质
US9619209B1 (en) Dynamic source code generation
US11080073B2 (en) Computerized task guidance across devices and applications
US20210209428A1 (en) Translation Method and Apparatus and Electronic Device
US11250332B2 (en) Automated distractor generation by performing disambiguation operations
CN116501960B (zh) 内容检索方法、装置、设备及介质
KR101851789B1 (ko) 도메인 유사어구 생성 장치 및 방법
US20220027575A1 (en) Method of predicting emotional style of dialogue, electronic device, and storage medium
US20210225185A1 (en) Method and apparatus for determining key learning content, device and storage medium
US10839168B2 (en) Dynamic automation of pipeline creation
CN113590776A (zh) 基于知识图谱的文本处理方法、装置、电子设备及介质
US20230013796A1 (en) Method and apparatus for acquiring pre-trained model, electronic device and storage medium
US11907863B2 (en) Natural language enrichment using action explanations
CN113705198B (zh) 场景图生成方法、装置、电子设备及存储介质
WO2019024246A1 (zh) 信息屏蔽方法及系统
US10559298B2 (en) Discussion model generation system and method
CN110286776A (zh) 字符组合信息的输入方法、装置、电子设备和存储介质
WO2019167281A1 (ja) 応答処理プログラム、応答処理方法、応答処理装置および応答処理システム
CN116226478B (zh) 信息处理方法、模型训练方法、装置、设备及存储介质
CN114861639B (zh) 提问信息生成方法、装置、电子设备及存储介质
CN115757720A (zh) 基于知识图谱的项目信息搜索方法、装置、设备和介质

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 17920156

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 17920156

Country of ref document: EP

Kind code of ref document: A1