| { | |
| "paper_id": "2020", | |
| "header": { | |
| "generated_with": "S2ORC 1.0.0", | |
| "date_generated": "2023-01-19T12:53:34.838974Z" | |
| }, | |
| "title": "Research on the correlation between eye movement feature and thematic structure label", | |
| "authors": [ | |
| { | |
| "first": "Haocong", | |
| "middle": [], | |
| "last": "Shan", | |
| "suffix": "", | |
| "affiliation": { | |
| "laboratory": "", | |
| "institution": "Tsinghua University", | |
| "location": { | |
| "postCode": "100084", | |
| "settlement": "Beijing", | |
| "country": "China" | |
| } | |
| }, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Qiang", | |
| "middle": [], | |
| "last": "Zhou", | |
| "suffix": "", | |
| "affiliation": { | |
| "laboratory": "", | |
| "institution": "Tsinghua University", | |
| "location": { | |
| "postCode": "100084", | |
| "settlement": "Beijing", | |
| "country": "China" | |
| } | |
| }, | |
| "email": "" | |
| } | |
| ], | |
| "year": "", | |
| "venue": null, | |
| "identifiers": {}, | |
| "abstract": "Given a Chinese sentence group that contains a theme sentence, the internal structure label of the sentence group is based on the results of linguistic analysis, while the eye movement trace of reading sentence group contains human psychological cognition. The main work of this paper is the information fusion and internal relevance analysis of structure label and eye movement. In this paper, a classification model based on radial basis function support vector machine and recursive feature elimination is used to predict whether the punctuation clause segment is the key information containing the thematic content according to the corresponding eye movement feature data. The accuracy of 0.76 is achieved. By analyzing the distribution characteristics of eye movement data on the key segment, eye movement features with good distinction for the thematic information of the sentence group are extracted.", | |
| "pdf_parse": { | |
| "paper_id": "2020", | |
| "_pdf_hash": "", | |
| "abstract": [ | |
| { | |
| "text": "Given a Chinese sentence group that contains a theme sentence, the internal structure label of the sentence group is based on the results of linguistic analysis, while the eye movement trace of reading sentence group contains human psychological cognition. The main work of this paper is the information fusion and internal relevance analysis of structure label and eye movement. In this paper, a classification model based on radial basis function support vector machine and recursive feature elimination is used to predict whether the punctuation clause segment is the key information containing the thematic content according to the corresponding eye movement feature data. The accuracy of 0.76 is achieved. By analyzing the distribution characteristics of eye movement data on the key segment, eye movement features with good distinction for the thematic information of the sentence group are extracted.", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "Abstract", | |
| "sec_num": null | |
| } | |
| ], | |
| "body_text": [ | |
| { | |
| "text": "1 \u5f15 \u5f15 \u5f15\u8a00 \u8a00 \u8a00 \u4eba\u7c7b\u4f7f\u7528\u773c\u775b\u8fd0\u52a8\u6765\u9009\u62e9\u6027\u5730\u83b7\u53d6\u89c6\u89c9\u4fe1\u606f\u518d\u52a0\u5de5\u5904\u7406\u662f\u4e00\u4e2a\u5f88\u91cd\u8981\u7684\u8ba4\u77e5\u8fc7\u7a0b\u3002\u5728\u4eba\u7c7b \u9605\u8bfb\u76f8\u5173\u7684\u5fc3\u7406\u5b66\u7814\u7a76\u4e2d\uff0c\u6316\u6398\u773c\u52a8\u6570\u636e\u6240\u8574\u542b\u7684\u4fe1\u606f\u662f\u91cd\u8981\u7684\u65b9\u5411\u3002\u4e00\u65b9\u9762\uff0c\u773c\u52a8\u6570\u636e\u5305\u542b \u7740\u8bfb\u8005\u9605\u8bfb\u884c\u4e3a\u7684\u8ba4\u77e5\u4fe1\u606f\u3002\u4f8b\u5982\u4e0d\u540c\u6559\u80b2\u80cc\u666f\u8bfb\u8005\u7684\u9605\u8bfb\u80fd\u529b\u7684\u5dee\u5f02\u6027\u53ef\u4ee5\u53cd\u5e94\u5728\u773c\u52a8\u6a21\u5f0f \u4e2d\uff0c\u66f4\u8be6\u7ec6\u7684\u7814\u7a76\u663e\u793a\u4e0d\u540c\u8bfb\u8005\u7684\u9605\u8bfb\u7b56\u7565\u7b49\u4fe1\u606f\u4e5f\u53ef\u4ee5\u4f9d\u636e\u773c\u52a8\u6570\u636e\u6765\u5224\u522b (Ablinger et al., 2014 )\u3002\u53e6\u4e00\u65b9\u9762\uff0c\u9605\u8bfb\u4efb\u52a1\u7684\u4e0d\u540c\u4e5f\u5f71\u54cd\u7740\u773c\u52a8\u6a21\u5f0f\u3002\u4f8b\u5982\u65e0\u610f\u8bc6\u9605\u8bfb\u548c\u6709\u76ee\u7684\u9605\u8bfb\u7684\u773c\u52a8 \u6307\u6807\u5206\u5e03\u6709\u7740\u8f83\u660e\u663e\u7684\u5dee\u5f02 (Reichle et al., 2010)\u3002\u9488\u5bf9\u6709\u76ee\u7684\u9605\u8bfb\u800c\u8a00\uff0c\u4e0d\u540c\u9605\u8bfb\u4efb\u52a1\u6240\u5bf9 \u5e94\u7684\u773c\u52a8\u6a21\u5f0f\u4e5f\u662f\u4e0d\u540c\u7684\u3002\u4f8b\u5982\u5728\u6587\u672c\u6821\u5bf9\u548c\u6587\u672c\u7406\u89e3\u4e24\u4e2a\u4e0d\u540c\u9605\u8bfb\u4efb\u52a1\u4e2d\uff0c\u773c\u52a8\u6570\u636e\u6240\u53cd\u5e94 \u7684\u6ce8\u610f\u529b\u5206\u914d\u662f\u4e0d\u540c\u7684 (Kaakinen and Hy\u00f6n\u00e4, 2010)\u3002\u5728\u6587\u672c\u4e3b\u65e8\u76f8\u5173\u7684\u4efb\u52a1\u4e2d\uff0c\u6709\u878d\u5408\u773c\u52a8 \u6570\u636e\u7684\u591a\u4e3b\u65e8\u6587\u672c\u6807\u9898\u63d0\u53d6\u4efb\u52a1\u7814\u7a76 (Hy\u00f6n\u00e4 and Lorch, 2004) \uff0c\u8be5\u7814\u7a76\u4e3b\u8981\u8003\u5bdf\u4e86\u6807\u9898\u53e5\u7684\u773c \u52a8\u6570\u636e\uff0c\u5e76\u8be6\u7ec6\u5206\u6790\u4e86\u773c\u52a8\u6307\u6807\u7684\u7279\u6027\uff0c\u4f46\u662f\u8be5\u7814\u7a76\u6240\u9009\u53d6\u7684\u6587\u672c\u7f3a\u5c11\u5177\u6709\u8bed\u8a00\u5b66\u652f\u6491\u7684\u7ed3\u6784 \u6807\u6ce8\uff0c\u540c\u65f6\u7f3a\u5c11\u8861\u91cf\u773c\u52a8\u6307\u6807\u7684\u91cd\u8981\u6027\u5206\u5e03\u3002\u4e5f\u6709\u5355\u4e3b\u65e8\u6587\u672c\u6458\u8981\u63d0\u53d6\u7684\u773c\u52a8\u6570\u636e\u7814\u7a76 (Xie et al., 2019) \uff0c\u4f46\u662f\u8be5\u7814\u7a76\u4ec5\u4ec5\u4e13\u6ce8\u4e8e\u773c\u52a8\u8f68\u8ff9\uff0c\u6ca1\u6709\u5b8c\u6574\u7684\u773c\u52a8\u6307\u6807\u5206\u6790\uff0c\u7f3a\u4e4f\u8ba4\u77e5\u5fc3\u7406\u5b66\u4f9d \u636e\u3002 \u5728\u5206\u6790\u9605\u8bfb\u7684\u773c\u52a8\u7814\u7a76\u4e2d\uff0c\u4e3b\u8981\u5305\u542b\u6ce8\u89c6\u548c\u773c\u8df3\u4e24\u79cd\u57fa\u672c\u7684\u773c\u52a8\u73b0\u8c61 (\u95eb\u56fd\u5229et al., 2013)\uff0c\u7b2c\u4e00\u7c7b\u662f\u4e0e\u773c\u775b\u4f55\u65f6\u79fb\u52a8\u6709\u5173\u7684\u65f6\u95f4\u7ef4\u5ea6\u773c\u52a8\u6307\u6807\uff0c\u4f8b\u5982\u904d\u6ce8\u89c6\u65f6\u95f4\uff0c\u5176\u53cd\u6620\u4e86\u8bfb\u8005 \u5904\u7406\u7279\u5b9a\u4fe1\u606f\u6240\u9700\u8981\u7684\u65f6\u95f4\uff1b\u53e6\u4e00\u7c7b\u6307\u6807\u662f\u4e0e\u773c\u775b\u79fb\u52a8\u4f4d\u7f6e\u6709\u5173\u7684\u7a7a\u95f4\u7ef4\u5ea6\u7684\u773c\u52a8\u6307\u6807\uff0c\u5177\u4f53 \u5305\u62ec\u773c\u8df3\u8ddd\u79bb\uff0c\u6ce8\u89c6\u4f4d\u7f6e\uff0c\u6ce8\u89c6\u987a\u5e8f\u7b49\uff0c\u5176\u4e2d\u6ce8\u89c6\u4f4d\u7f6e\u53cd\u6620\u4e86\u8bfb\u8005\u5728\u7279\u5b9a\u65f6\u95f4\u5185\u6240\u5904\u7406\u7684\u4fe1 \u606f\u5185\u5bb9\u5728\u4e0a\u4e0b\u6587\u4e2d\u7684\u4f4d\u7f6e\uff0c\u6ce8\u89c6\u987a\u5e8f\u5219\u53cd\u6620\u4e86\u8bfb\u8005\u5904\u7406\u4fe1\u606f\u7684\u6b21\u5e8f\u3002\u773c\u52a8\u6570\u636e\u5728\u66f4\u6df1\u5c42\u6b21\u4e0a \u8fd8\u53cd\u6620\u4e86\u8bfb\u8005\u5728\u8bcd\u6c47\u548c\u53e5\u5b50\u52a0\u5de5\u7406\u89e3\u8fc7\u7a0b\u4e2d\u7684\u590d\u6742\u5fc3\u7406\u8ba4\u77e5\u9636\u6bb5\u3002Rayner (1979)\u5728\u7814\u7a76\u4e2d\u4f7f \u7528\u4e86\u9488\u5bf9\u4e0d\u540c\u8bcd\u6c47\u7684\"\u9996\u6b21\u52a0\u5de5\u6709\u591a\u6b21\u6ce8\u89c6\u7684\u9996\u6b21\u6ce8\u89c6\u65f6\u95f4\"\u8fd9\u4e00\u6307\u6807\uff0c\u8f83\u597d\u5730\u53cd\u6620\u4e86\u8bfb\u8005\u5bf9\u4e8e \u8bcd\u6c47\u7684\u65e9\u671f\u52a0\u5de5\u60c5\u51b5\uff0c\u540c\u6837\u5730\u7b2c\u4e8c\u6b21\u6ce8\u89c6\u65f6\u95f4\u4e5f\u88ab\u770b\u505a\u662f\u4e00\u4e2a\u8f83\u597d\u53cd\u5e94\u590d\u5408\u8bcd\u65e9\u671f\u52a0\u5de5\u7684\u6307 \u6807 (Pollatsek et al., 1986) ", | |
| "cite_spans": [ | |
| { | |
| "start": 172, | |
| "end": 194, | |
| "text": "(Ablinger et al., 2014", | |
| "ref_id": "BIBREF1" | |
| }, | |
| { | |
| "start": 405, | |
| "end": 428, | |
| "text": "(Hy\u00f6n\u00e4 and Lorch, 2004)", | |
| "ref_id": "BIBREF5" | |
| }, | |
| { | |
| "start": 525, | |
| "end": 543, | |
| "text": "(Xie et al., 2019)", | |
| "ref_id": "BIBREF23" | |
| }, | |
| { | |
| "start": 929, | |
| "end": 953, | |
| "text": "(Pollatsek et al., 1986)", | |
| "ref_id": "BIBREF16" | |
| } | |
| ], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "2 \u6570 \u6570 \u6570\u636e \u636e \u636e\u4ecb \u4ecb \u4ecb\u7ecd \u7ecd \u7ecd \u8be5\u6587\u7684\u539f\u751f\u6570\u636e\u5206\u4e3a\u4e24\u90e8\u5206\uff0c\u4e00\u90e8\u5206\u662f\u5fae\u535a\u548c\u767e\u79d1\u7c7b\u53e5\u7fa4\u7684\u4eba\u5de5\u6807\u6ce8\u6570\u636e\uff0c\u53e6\u4e00\u90e8\u5206\u662f\u5bf9 \u4e8e\u6bcf\u4e2a\u8bed\u7bc7\u7684\u773c\u52a8\u6570\u636e\u3002\u5728\u83b7\u53d6\u4e86\u4e24\u90e8\u5206\u6570\u636e\u540e\uff0c\u5c06\u5904\u7406\u540e\u7684\u6570\u636e\u505a\u5339\u914d\u5f97\u5230\u53ef\u8bad\u7ec3\u7684\u6570\u636e \u96c6\u3002 2.1 \u5fae \u5fae \u5fae\u535a \u535a \u535a\u548c \u548c \u548c\u767e \u767e \u767e\u79d1 \u79d1 \u79d1\u7c7b \u7c7b \u7c7b\u4eba \u4eba \u4eba\u5de5 \u5de5 \u5de5\u6807 \u6807 \u6807\u6ce8 \u6ce8 \u6ce8\u6570 \u6570 \u6570\u636e \u636e \u636e \u5bf9\u4e8e\u5fae\u535a\u548c\u767e\u79d1\u7c7b\u7684\u8bed\u7bc7\u800c\u8a00\uff0c\u5bf9\u5176\u8fdb\u884c\u7ed3\u6784\u4e3b\u65e8\u6807\u6ce8 (\u5468\u5f3a, 2019)\u6765\u5206\u6790\u6316\u6398\u5176\u4e2d\u4e3b\u65e8 \u4fe1\u606f\u7684\u4e0d\u540c\u8868\u73b0\u6a21\u5f0f\u3002 \u9996\u5148\u6839\u636e\u5176\u4e2d\u7684\u5404\u4e2a\u7ed3\u53e5\u70b9\u53f7(\u53e5\u53f7\u3001\u95ee\u53f7\u3001\u53f9\u53f7\u3001\u7701\u7565\u53f7\u7b49)\u81ea\u52a8\u5207\u5206\u51fa\u5404\u4e2a\u53e5\u5b50 (Sentence)\uff0c\u5728\u8fd9\u4e2a\u8fc7\u7a0b\u4e2d\uff0c\u9700\u8981\u6ce8\u610f\u6807\u53f7\u5bf9(\u53cc\u5f15\u53f7\u3001\u62ec\u53f7\u7b49)\u5185\u90e8\u7684\u7ed3\u53e5\u70b9\u53f7\u7684\u53e5\u5b50\u5206 \u9694\u4f5c\u7528\u3002\u7136\u540e\u5728\u5404\u4e2a\u53e5\u5b50\u4e2d\u8fdb\u4e00\u6b65\u4f9d\u636e\u5176\u4e2d\u7684\u5206\u9694\u70b9\u53f7(\u4e3b\u8981\u662f\u9017\u53f7\u3001\u5206\u53f7\u548c\u5192\u53f7)\u81ea\u52a8\u5207\u5206 \u51fa\u5404\u4e2a\u6807\u70b9\u5c0f\u53e5\u7247\u6bb5(Punctuated Clause Segment, PCS)\uff0c\u81f3\u6b64PCS\u5c42\u5c0f\u53e5\u4ea7\u751f\u3002 \u4e0b\u9762\u8868 1\u7ed9\u51fa\u4e00\u4e2a\u5177\u4f53\u7684\u5fae\u535a\u77ed\u8baf\u6807\u6ce8\u5b9e\u4f8b\u5bf9\u6b64\u8fdb\u884c\u89e3\u91ca\u8bf4\u660e\uff1a \u53e5 \u53e5 \u53e5\u5b50 \u5b50 \u5b50\u5e8f \u5e8f \u5e8f\u53f7 \u53f7 \u53f7 \u53e5 \u53e5 \u53e5\u5b50 \u5b50 \u5b50\u548c \u548c \u548c\u5c0f \u5c0f \u5c0f\u53e5 \u53e5 \u53e5 \u4e3b \u4e3b \u4e3b\u65e8 \u65e8 \u65e8\u63cf \u63cf \u63cf\u8ff0 \u8ff0 \u8ff0 1 \u524d\u5929\u665a\u4e0a\uff0c\u6b66\u660c\u8b66\u65b9\u8c03\u96c6\u6570\u767e\u540d\u8b66\u529b\uff0c \u6b66\u660c\u8b66\u65b9\u5728\u6b66\u5927\u6821\u56ed \u5bf9\u6b66\u6c49\u5927\u5b66\u6821\u56ed\u5468\u8fb9\u6cbb\u5b89\u73af\u5883\u8fdb\u884c\u6574\u6cbb\u3002 \u5468\u8fb9\u67e5\u9a8c8\u540d\u6d89\u5acc\u5438\u6bd2\u7537\u5b50\u3002 1-1 \u524d\u5929\u665a\u4e0a\uff0c 1-2 \u6b66\u660c\u8b66\u65b9\u8c03\u96c6\u6570\u767e\u540d\u8b66\u529b\uff0c 1-3 \u5bf9\u6b66\u6c49\u5927\u5b66\u6821\u56ed\u5468\u8fb9\u6cbb\u5b89\u73af\u5883\u8fdb\u884c\u6574\u6cbb\u3002 2 \u5728\u8bb0\u8005\u8ddf\u968f\u4e0b\uff0c\u4e00\u961f\u6c11\u8b66\u4ece\u6b66\u5927\u8fd1\u90bb\u7684\u519b\u60a6 \u5047\u65e5\u9152\u5e97\u5185\u63ea\u51fa8\u540d\u6d89\u5acc\u5438\u98df\u9ebb\u679c\u7684\u7537\u5b50\u3002 2-1 \u5728\u8bb0\u8005\u8ddf\u968f\u4e0b\uff0c 2-2 \u4e00\u961f\u6c11\u8b66\u4ece\u6b66\u5927\u8fd1\u90bb\u7684\u519b\u60a6\u5047\u65e5\u9152\u5e97 \u5185\u63ea\u51fa8\u540d\u6d89\u5acc\u5438\u98df\u9ebb\u679c\u7684\u7537\u5b50\u3002 3 \u4ed6\u4eec\u90fd\u575a\u51b3\u5426\u8ba4\u5438\u6bd2\uff0c\u6c11\u8b66\u5f53\u9762\u67e5\u9a8c\uff0c \u8bc1\u5b9e\u5176\u4e2d6\u4eba\u5438\u4e86\u6bd2\u3002 3-1 \u4ed6\u4eec\u90fd\u575a\u51b3\u5426\u8ba4\u5438\u6bd2\uff0c 3-2 \u6c11\u8b66\u5f53\u9762\u67e5\u9a8c\uff0c 3-3 \u8bc1\u5b9e\u5176\u4e2d6\u4eba\u5438\u4e86\u6bd2\u3002 \u8868 1: PCS\u5c42\u5207\u5206\u5b9e\u4f8b\uff1a\u5fae\u535a\u77ed\u8baf(\u6b66\u6c49\u665a\u62a5-20121020-1600) \u5728\u8868 1\u4e2d\uff0c\u53ef\u4ee5\u770b\u5230\u8be5\u6b66\u6c49\u665a\u62a5\u5fae\u535a\u77ed\u8baf\u91cc\u5305\u542b\u6709\u4e09\u4e2a\u53e5\u5b50\uff0c\u6bcf\u4e2a\u53e5\u5b50\u4e2d\u53c8\u5305\u542b\u6709\u591a \u4e2aPCS\u5c42\u5c0f\u53e5\u7247\u6bb5\uff0c\u4f8b\u5982\u5728\u53e5\u5b50\u5e8f\u53f7\u4e3a1\u7684\u53e5\u5b50\u4e2d\uff0c\u5305\u542b\u67091-1\uff0c1-2\u548c1-3\u4e09\u4e2aPCS\u5c42\u5c0f\u53e5\u3002\u4e3b \u65e8\u63cf\u8ff0\u5217\u4fe1\u606f\u5219\u662f\u4ece\u53e5\u5b50\u5f62\u6210\u7684\u53e5\u7fa4\u4e2d\u62bd\u53d6\u5173\u952e\u4fe1\u606f\u603b\u7ed3\u5f97\u5230\uff0c\u6b64\u65f6\u5b8c\u6210\u4e86\u5bf9\u6574\u4e2a\u8bed\u7bc7\u57fa \u4e8ePCS\u5c42\u7ec6\u7c92\u5ea6\u7684\u5212\u5206\u3002\u7136\u540e\u9700\u8981\u8fdb\u4e00\u6b65\u786e\u5b9aPCS\u5c42\u5c0f\u53e5\u4e3a\u5173\u952e\u6216\u975e\u5173\u952e\u4fe1\u606f\u3002\u5173\u952e\u4fe1\u606f\u7684\u6807 \u6ce8\u5219\u53ef\u7531\u7ed3\u6784\u4e3b\u65e8\u6807\u6ce8\u76f8\u5173\u4fe1\u606f\u81ea\u52a8\u5f97\u51fa\u3002 \u53e5 \u53e5 \u53e5\u5b50 \u5b50 \u5b50\u5e8f \u5e8f \u5e8f\u53f7 \u53f7 \u53f7 \u53e5 \u53e5 \u53e5\u5b50 \u5b50 \u5b50\u7ed3 \u7ed3 \u7ed3\u6784 \u6784 \u6784\u5e8f \u5e8f \u5e8f\u5217 \u5217 \u5217 \u5c0f \u5c0f \u5c0f\u53e5 \u53e5 \u53e5\u7ed3 \u7ed3 \u7ed3\u6784 \u6784 \u6784\u5e8f \u5e8f \u5e8f\u5217 \u5217 \u5217 \u5173 \u5173 \u5173\u952e \u952e \u952e\u4fe1 \u4fe1 \u4fe1\u606f \u606f \u606f 1 ES 1-1 TIM 0 1-2 FE-1 1 1-3 FE-1 1 2 ES 2-1 BE-2 0 2-2 FE 1 3 OS 3-1 BE 0 3-2 FE-1 0 3-3 FE-1 0 \u8868 2: \u5b9e\u4f8b\u6240\u5bf9\u5e94\u7684\u7ed3\u6784\u6807\u6ce8\u4fe1\u606f \u5728\u8868 2\u4e2d\uff0c\u5c55\u793a\u4e86\u4e0e\u8868 1\u4e2dPCS\u5c42\u4e00\u4e00\u5bf9\u5e94\u7684\u4e3b\u65e8\u7ed3\u6784\u6807\u6ce8\u4fe1\u606f\uff0c\u5173\u952e\u4fe1\u606f\u5217\u4e2d\u7684\u6807\u6ce8\u4fe1\u606f \u9700\u8981\u76f4\u63a5\u7528\u4e8e\u5b9e\u9a8c\u3002\u5176\u4e2d\u6807\u6ce8\u4e3a1\u4ee3\u8868\u5173\u952e\u4fe1\u606f\uff0c\u6807\u6ce8\u4e3a0\u4ee3\u8868\u975e\u5173\u952e\u4fe1\u606f\u3002\u800c\u5173\u952e\u4fe1\u606f\u5217\u7684\u6807 \u6ce8\u4fe1\u606f\u7531\u53e5\u5b50\u7ed3\u6784\u5e8f\u5217\u548c\u5c0f\u53e5\u7ed3\u6784\u5e8f\u5217\u7684\u6807\u6ce8\u4fe1\u606f\u800c\u5f97\u5230\u3002\u4f8b\u5982\u53e5\u5b501\u548c2\u4e2d\uff0c\u53e5\u5b50\u7ed3\u6784\u5e8f\u5217\u6807 \u6ce8\u4e3aES(Event Sentence)\u4e8b\u4ef6\u53e5\uff0c\u8868\u793a\u5176\u5305\u542b\u53e5\u7fa4\u7684\u90e8\u5206\u5173\u952e\u4fe1\u606f\u3002\u8fdb\u4e00\u6b65\u8003\u5bdf\u5176\u4e2d\u7684\u5c0f\u53e5 \u7ed3\u6784\u5e8f\u5217\u6807\u6ce8\uff0c\u53ef\u53d1\u73b0FE\u4ee3\u8868\u524d\u666f\u5c0f\u53e5\uff0c\u5305\u542b\u4e86\u53e5\u5b50\u7684\u4e3b\u8981\u4e8b\u4ef6\u63cf\u8ff0\u5185\u5bb9\uff0c\u6240\u4ee5\u76f8\u5e94\u7684PCS\u5c0f \u53e5\u7684\u5173\u952e\u4fe1\u606f\u6807\u6ce8\u4e3a1\u3002\u800c\u53e5\u5b503\u7684\u53e5\u5b50\u7ed3\u6784\u5e8f\u5217\u6807\u6ce8\u4e3aOS(Other Sentence)\uff0c\u4e0d\u5305\u542b\u53e5\u7fa4\u5173 \u952e\u4fe1\u606f\uff0c\u53ea\u662f\u5bf9\u5173\u952e\u53e5\u7684\u8865\u5145\u89e3\u91ca\u6216\u8005\u9610\u91ca\u8bf4\u660e\uff0c\u6240\u4ee5\u5176\u540e\u7684\u76f8\u5e94PCS\u7684\u5173\u952e\u4fe1\u606f\u6807\u6ce8\u4e3a0\u3002 \u5229\u7528\u4e0a\u8ff0\u65b9\u6cd5\u5bf91172\u4e2a\u5fae\u535a\u77ed\u8baf\u548c1300\u4e2a\u6c49\u8bed\u65b0\u95fb\u767e\u79d1\u53e5\u7fa4\u7684\u4eba\u5de5\u6807\u6ce8\u6570\u636e\u8fdb\u884c\u81ea\u52a8\u63d0 \u53d6\uff0c\u5f97\u5230\u53ef\u7528\u4e8e\u5b9e\u9a8c\u7684\u6807\u6ce8\u6570\u636e\uff0c\u4ee5\u5339\u914d\u773c\u52a8\u6570\u636e\u505a\u4e3a\u5b9e\u9a8c\u6570\u636e\u96c6\u3002 2.2 \u8bed \u8bed \u8bed\u7bc7 \u7bc7 \u7bc7\u773c \u773c \u773c\u52a8 \u52a8 \u52a8\u6570 \u6570 \u6570\u636e \u636e \u636e \u773c\u52a8\u5b9e\u9a8c\u4e00\u5171\u6709125\u4f4d\u88ab\u8bd5\u8005\uff0c\u6bcf\u4f4d\u88ab\u8bd5\u8005\u8981\u6c42\u5206\u4e24\u4e2a\u9636\u6bb5\u4f7f\u7528\u773c\u52a8\u4eea\u9605\u8bfb2.1\u4e2d\u7684\u5fae\u535a\u548c \u767e\u79d1\u8bed\u7bc7\u3002\u4e00\u4e2a\u9636\u6bb5\u662f\u6b63\u5e38\u81ea\u7531\u9605\u8bfb\u8bed\u7bc7\uff0c\u7b80\u79f0article \u9636\u6bb5\uff1b\u53e6\u4e00\u4e2a\u9636\u6bb5\u9700\u8981\u88ab\u8bd5\u8005\u5728\u9605\u8bfb\u5b8c \u6bd5\u540e\u603b\u7ed3\u8bed\u7bc7\u7684\u4e3b\u65e8\uff0c\u7b80\u79f0\u4e3agist\u9636\u6bb5\u3002\u540c\u65f6\u6bcf\u4e2a\u8bed\u7bc7\u9700\u8981\u81f3\u5c11\u4e09\u4f4d\u4ee5\u4e0a\u7684\u88ab\u8bd5\u505a\u5b9e\u9a8c\uff0c\u53ef\u4ee5 \u83b7\u5f97\u81f3\u5c113\u4efd\u4e0d\u540c\u7684\u88ab\u8bd5\u8bb0\u5f55\u6570\u636e\uff0c\u4ee5\u4e3a\u540e\u9762\u7684\u6570\u636e\u5904\u7406\u51cf\u5c11\u8bef\u5dee\u505a\u51c6\u5907\u3002 \u5b9e \u9a8c \u901a \u8fc7 \u773c \u52a8 \u4eea \u4ea7 \u751f \u6ce8 \u89c6 \u773c \u52a8 \u8bb0 \u5f55 \u62a5 \u544a \uff0c \u6240 \u6709 \u4e0d \u540c \u88ab \u8bd5 \u7684 \u76f8 \u5173 \u6570 \u636e \u90fd \u4f1a \u4fdd \u5b58 \u5728 \u4e00 \u4e2aEXCEL\u8868\u4e2d\uff0c\u53ef\u4ee5\u6839\u636eEyelink \u7528\u6237\u624b\u518c\u63cf\u8ff0\u81ea\u52a8\u5bfc\u51fa\u4e0d\u540c\u88ab\u8bd5\u7684\u76f8\u5173\u6570\u636e\u62a5\u544a (", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "4.1 \u5b9e \u5b9e \u5b9e\u9a8c \u9a8c \u9a8c\u4e00 \u4e00 \u4e00\u7ed3 \u7ed3 \u7ed3\u679c \u679c \u679c\u5206 \u5206 \u5206\u6790 \u6790 \u6790 \u5bf9\u4e8e\u5b9e\u9a8c\u4e00\u800c\u8a00\uff0c\u8bad\u7ec3\u4e86\u7ebf\u6027\u548c\u975e\u7ebf\u6027SVM\u4e24\u79cd\u6a21\u578b\uff0c\u5176\u4e2d\u7ebf\u6027SVM\u4e2d\u60e9\u7f5a\u53c2\u6570c\u4e3a1\uff0c\u975e \u7ebf\u6027RBF\u6838\u51fd\u6570\u4e2dgamma\u4e3a0.1\uff0c\u5747\u91c7\u7528\u4ea4\u53c9\u9a8c\u8bc1\u65b9\u6cd5\u5f97\u5230\u3002\u4e24\u79cd\u6a21\u578b\u7684\u7ed3\u679c\u5982\u4e0b\u6240\u793a\uff1a \u56fe 1: \u7ebf\u6027\u548c\u975e\u7ebf\u6027\u6bd4\u8f83 \u5728\u56fe 1\u4e2d\u53ef\u4ee5\u770b\u5230\u5bf9\u4e8e\u7ebf\u6027SVM\u800c\u8a00\uff0c\u4e0d\u540c\u7684\u6307\u6807\u7279\u5f81\u6570\u91cf\u5bf9\u51c6\u786e\u7387\u7684\u5f71\u54cd\u5f88\u5c0f\uff0c\u603b\u4f53 \u57280.65\u5de6\u53f3\u6ce2\u52a8\uff0c\u8868\u660e\u7ebf\u6027SVM\u5e76\u4e0d\u80fd\u591f\u5f88\u597d\u5730\u5c06\u6570\u636e\u5206\u5272\u5f00\u3002\u6570\u636e\u5728\u7279\u5f81\u7a7a\u95f4\u5f88\u5927\u7a0b\u5ea6\u662f\u975e \u7ebf\u6027\u53ef\u5206\u7684\uff0c\u53ef\u80fd\u56e0\u4e3a\u773c\u52a8\u6307\u6807\u4e4b\u95f4\u8f83\u4e3a\u590d\u6742\uff0c\u6307\u6807\u548c\u6307\u6807\u4e4b\u95f4\u7684\u6709\u4e00\u5b9a\u7684\u5173\u8054\u6027\uff0c\u5e76\u4e0d\u662f\u6240 \u6709\u7684\u6307\u6807\u90fd\u5177\u6709\u975e\u4e92\u6027\u3002 \u800c\u5bf9\u4e8e\u975e\u7ebf\u6027SVM-RFE\u800c\u8a00\uff0c\u4e00\u65b9\u9762\u53ef\u4ee5\u770b\u5230\u5176\u51c6\u786e\u7387\u968f\u7740\u6307\u6807\u7684\u9009\u62e9\u6570\u6709\u660e\u663e\u7684\u53d8 \u5316\uff0c\u80fd\u591f\u53cd\u5e94\u51fa\u4e0d\u540c\u6307\u6807\u5bf9\u4e8e\u51c6\u786e\u7387\u7684\u5f71\u54cd\u7a0b\u5ea6\uff0c\u53e6\u4e00\u65b9\u9762\uff0c\u5728\u6307\u6807\u6570\u901a\u8fc7RFE\u7b5b\u51cf\u52306\u7684\u65f6 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