{"id":4304,"date":"2020-04-28T14:58:09","date_gmt":"2020-04-28T06:58:09","guid":{"rendered":"http:\/\/pairlabs.ai.pro6.designworks.tw\/%e7%94%a2%e5%ad%b8%e5%90%88%e4%bd%9c\/%e8%87%aa%e7%84%b6%e8%aa%9e%e8%a8%80%e6%8a%80%e8%a1%93%e6%87%89%e7%94%a8\/"},"modified":"2020-10-14T17:47:54","modified_gmt":"2020-10-14T09:47:54","slug":"natural-language-application","status":"publish","type":"page","link":"https:\/\/pairlabs.ai\/en\/core-technologies-for-industry-academia-collaboration\/natural-language-application\/","title":{"rendered":"Natural Language Application"},"content":{"rendered":"<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='av_section_1' class='avia-section main_color avia-section-large avia-no-border-styling avia-full-stretch av-section-color-overlay-active avia-bg-style-fixed    av-small-hide av-mini-hide container_wrap sidebar_right' style='background-repeat: no-repeat; background-image: url(https:\/\/pairlabs.ai\/wp-content\/uploads\/2020\/05\/wall006.jpg);background-attachment: fixed; background-position: center center;  '  data-section-bg-repeat='stretch' style='background-repeat: no-repeat; background-image: url(https:\/\/pairlabs.ai\/wp-content\/uploads\/2020\/05\/wall006.jpg);background-attachment: fixed; background-position: center center;  ' ><div class='av-section-color-overlay-wrap'><div class='av-section-color-overlay' style='opacity: 0.5; background-color: #ffffff; '><\/div><div class='container' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-4304'><div class='entry-content-wrapper clearfix'>\n<div class='flex_column_table av-equal-height-column-flextable -flextable' style='margin-top:0px; margin-bottom:-20px; '><div class=\"flex_column av_one_third  flex_column_table_cell av-equal-height-column av-align-top av-zero-column-padding first   \" style='border-radius:0px; '><section class=\"avia_codeblock_section  avia_code_block_0\"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_codeblock '  itemprop=\"text\" > [avia_codeblock_placeholder uid=\"0\"] <\/div><\/section><\/div><\/div><!--close column table wrapper. Autoclose: 1 --><div class='flex_column_table av-equal-height-column-flextable -flextable' style='margin-top:0px; margin-bottom:-20px; '><div class='av-flex-placeholder'><\/div><div class=\"flex_column av_one_third  flex_column_table_cell av-equal-height-column av-align-top av-zero-column-padding   \" style='border-radius:0px; '><section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  '  style='font-size:20px; '  itemprop=\"text\" ><p style=\"text-align: center;\">Pervasive Artificial Intelligence Research (PAIR) Labs<\/p>\n<\/div><\/section><br \/>\n<div style='height:20px' class='hr hr-invisible   '><span class='hr-inner ' ><span class='hr-inner-style'><\/span><\/span><\/div><\/p><\/div><\/div><!--close column table wrapper. Autoclose: 1 --><div class='flex_column_table av-equal-height-column-flextable -flextable' style='margin-top:0px; margin-bottom:-20px; '><div class='av-flex-placeholder'><\/div><div class=\"flex_column av_one_third  flex_column_table_cell av-equal-height-column av-align-top av-zero-column-padding   \" style='border-radius:0px; '><\/div><\/div><!--close column table wrapper. Autoclose: 1 --><div class='flex_column_table av-equal-height-column-flextable -flextable' ><div class=\"flex_column av_one_third  flex_column_table_cell av-equal-height-column av-align-top av-zero-column-padding first   \" style='border-radius:0px; '><\/div><\/div><!--close column table wrapper. Autoclose: 1 --><div class='flex_column_table av-equal-height-column-flextable -flextable' ><div class='av-flex-placeholder'><\/div><div class=\"flex_column av_one_third  flex_column_table_cell av-equal-height-column av-align-top    \" style='background-color:#00a0e9; background:linear-gradient(to bottom right,#00a0e9,#25a98f); padding:10px; border-radius:0px; '><p><div style=' margin-top:-21px; margin-bottom:0px;'  class='hr hr-custom hr-center hr-icon-yes   '><span class='hr-inner   inner-border-av-border-thin' style=' width:0px;' ><span class='hr-inner-style'><\/span><\/span><span class='av-seperator-icon' style='color:#ffffff;' aria-hidden='true' data-av_icon='\ue883' data-av_iconfont='entypo-fontello'><\/span><span class='hr-inner   inner-border-av-border-thin' style=' width:0px;' ><span class='hr-inner-style'><\/span><\/span><\/div><br \/>\n<section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  av_inherit_color '  style='font-size:30px; color:#ffffff; '  itemprop=\"text\" ><h1 style=\"text-align: center;\">Natural Language Application<\/h1>\n<\/div><\/section><\/p><\/div><\/div><!--close column table wrapper. Autoclose: 1 --><div class='flex_column_table av-equal-height-column-flextable -flextable' ><div class='av-flex-placeholder'><\/div><div class=\"flex_column av_one_third  flex_column_table_cell av-equal-height-column av-align-top av-zero-column-padding   \" style='border-radius:0px; '><\/div><\/div><!--close column table wrapper. Autoclose: 1 -->\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><\/div><div id='after_section_1' class='main_color av_default_container_wrap container_wrap sidebar_right' style=' '   style=' ' ><div class='container' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-4304'><div class='entry-content-wrapper clearfix'>\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='av_section_2' class='avia-section main_color avia-section-large avia-no-border-styling avia-full-stretch av-section-color-overlay-active avia-bg-style-fixed    av-desktop-hide av-medium-hide container_wrap sidebar_right' style='background-repeat: no-repeat; background-image: url(https:\/\/pairlabs.ai\/wp-content\/uploads\/2020\/05\/wall006.jpg);background-attachment: fixed; background-position: center center;  '  data-section-bg-repeat='stretch' style='background-repeat: no-repeat; background-image: url(https:\/\/pairlabs.ai\/wp-content\/uploads\/2020\/05\/wall006.jpg);background-attachment: fixed; background-position: center center;  ' ><div class='av-section-color-overlay-wrap'><div class='av-section-color-overlay' style='opacity: 0.5; background-color: #ffffff; '><\/div><div class='container' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-4304'><div class='entry-content-wrapper clearfix'>\n<div class='flex_column_table av-equal-height-column-flextable -flextable' style='margin-top:0px; margin-bottom:-20px; '><div class=\"flex_column av_one_third  flex_column_table_cell av-equal-height-column av-align-top av-zero-column-padding first   \" style='border-radius:0px; '><\/div><\/div><!--close column table wrapper. Autoclose: 1 --><div class='flex_column_table av-equal-height-column-flextable -flextable' style='margin-top:0px; margin-bottom:-20px; '><div class='av-flex-placeholder'><\/div><div class=\"flex_column av_one_third  flex_column_table_cell av-equal-height-column av-align-top av-zero-column-padding   \" style='border-radius:0px; '><section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  '  style='font-size:20px; '  itemprop=\"text\" ><p style=\"text-align: center;\">Pervasive Artificial Intelligence Research (PAIR) Labs<\/p>\n<\/div><\/section><br \/>\n<div style='height:1px' class='hr hr-invisible   '><span class='hr-inner ' ><span class='hr-inner-style'><\/span><\/span><\/div><\/p><\/div><\/div><!--close column table wrapper. Autoclose: 1 --><div class='flex_column_table av-equal-height-column-flextable -flextable' style='margin-top:0px; margin-bottom:-20px; '><div class='av-flex-placeholder'><\/div><div class=\"flex_column av_one_third  flex_column_table_cell av-equal-height-column av-align-top av-zero-column-padding   \" style='border-radius:0px; '><\/div><\/div><!--close column table wrapper. Autoclose: 1 --><div class='flex_column_table av-equal-height-column-flextable -flextable' ><div class=\"flex_column av_one_third  flex_column_table_cell av-equal-height-column av-align-top av-zero-column-padding first   \" style='border-radius:0px; '><\/div><\/div><!--close column table wrapper. Autoclose: 1 --><div class='flex_column_table av-equal-height-column-flextable -flextable' ><div class='av-flex-placeholder'><\/div><div class=\"flex_column av_one_third  flex_column_table_cell av-equal-height-column av-align-top    \" style='background-color:#00a0e9; background:linear-gradient(to bottom right,#00a0e9,#25a98f); padding:10px; border-radius:0px; '><p><div style=' margin-top:-21px; margin-bottom:0px;'  class='hr hr-custom hr-center hr-icon-yes   '><span class='hr-inner   inner-border-av-border-thin' style=' width:0px;' ><span class='hr-inner-style'><\/span><\/span><span class='av-seperator-icon' style='color:#ffffff;' aria-hidden='true' data-av_icon='\ue883' data-av_iconfont='entypo-fontello'><\/span><span class='hr-inner   inner-border-av-border-thin' style=' width:0px;' ><span class='hr-inner-style'><\/span><\/span><\/div><br \/>\n<section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  av_inherit_color '  style='font-size:30px; color:#ffffff; '  itemprop=\"text\" ><h2 style=\"text-align: center;\">Natural Language Application<\/h2>\n<\/div><\/section><\/p><\/div><\/div><!--close column table wrapper. Autoclose: 1 --><div class='flex_column_table av-equal-height-column-flextable -flextable' ><div class='av-flex-placeholder'><\/div><div class=\"flex_column av_one_third  flex_column_table_cell av-equal-height-column av-align-top av-zero-column-padding   \" style='border-radius:0px; '><\/div><\/div><!--close column table wrapper. Autoclose: 1 -->\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><\/div><div id='after_section_2' class='main_color av_default_container_wrap container_wrap sidebar_right' style=' '   style=' ' ><div class='container' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-4304'><div class='entry-content-wrapper clearfix'>\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div class='clear'><\/div><div id='sub_menu1' class='av-submenu-container alternate_color   av-sticky-submenu container_wrap sidebar_right' style=' '   style=' ' ><div class='container av-menu-mobile-active '><a href='#' class='mobile_menu_toggle' aria-hidden='true' data-av_icon='\ue8a5' data-av_iconfont='entypo-fontello'><span class='av-current-placeholder'>Menu<\/span><\/a><ul id='av-custom-submenu-1' class='av-subnav-menu av-submenu-pos-center'>\n<li class='menu-item menu-item-top-level  menu-item-top-level-1'><a href='https:\/\/pairlabs.ai\/en\/core-technologies-for-industry-academia-collaboration\/robotics-and-sensing-technology\/' ><span class='avia-bullet'><\/span><span class='avia-menu-text'>Robotics &amp; Sensing Technology<\/span><\/a><\/li>\n<li class='menu-item menu-item-top-level av-menu-button av-menu-button-colored menu-item-top-level-2'><a href='https:\/\/pairlabs.ai\/en\/core-technologies-for-industry-academia-collaboration\/natural-language-application\/' ><span class='avia-bullet'><\/span><span class='avia-menu-text'>Natural Language Application<\/span><\/a><\/li>\n<li class='menu-item menu-item-top-level  menu-item-top-level-3'><a href='https:\/\/pairlabs.ai\/en\/core-technologies-for-industry-academia-collaboration\/drones-and-computer-vision\/' ><span class='avia-bullet'><\/span><span class='avia-menu-text'>Drones and Computer Vision<\/span><\/a><\/li>\n<li class='menu-item menu-item-top-level  menu-item-top-level-4'><a href='https:\/\/pairlabs.ai\/en\/core-technologies-for-industry-academia-collaboration\/home-care\/' ><span class='avia-bullet'><\/span><span class='avia-menu-text'>Home care<\/span><\/a><\/li>\n<li class='menu-item menu-item-top-level  menu-item-top-level-5'><a href='https:\/\/pairlabs.ai\/en\/core-technologies-for-industry-academia-collaboration\/fintechai\/' ><span class='avia-bullet'><\/span><span class='avia-menu-text'>Fintech+AI<\/span><\/a><\/li>\n<li class='menu-item menu-item-top-level  menu-item-top-level-6'><a href='https:\/\/pairlabs.ai\/en\/core-technologies-for-industry-academia-collaboration\/computer-games\/' ><span class='avia-bullet'><\/span><span class='avia-menu-text'>Computer Games<\/span><\/a><\/li>\n<\/ul><\/div><\/div><div class='sticky_placeholder'><\/div>\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='av_section_3' class='avia-section main_color avia-section-default avia-no-border-styling avia-bg-style-scroll    container_wrap sidebar_right' style=' '   style=' ' ><div class='container' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-4304'><div class='entry-content-wrapper clearfix'>\n<section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  av_inherit_color '  style='font-size:16px; color:#ffffff; '  itemprop=\"text\" ><p style=\"text-align: center;\"><span style=\"color: #0068b2;\">If you are interested in the technical cooperation, please feel free to contact us.<\/span><\/p>\n<\/div><\/section>\n<div style='height:50px' class='hr hr-invisible   '><span class='hr-inner ' ><span class='hr-inner-style'><\/span><\/span><\/div>\n<div class='flex_column_table av-equal-height-column-flextable -flextable' ><div class=\"flex_column av_one_third  no_margin flex_column_table_cell av-equal-height-column av-align-middle first   \" style='background: #bbe8e1; padding:30px; background-color:#bbe8e1; border-radius:0px; '><div class='avia-image-container  av-styling-     avia-align-center '  itemprop=\"ImageObject\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\"  ><div class='avia-image-container-inner'><div class='avia-image-overlay-wrap'><img class='avia_image' src='https:\/\/pairlabs.ai\/wp-content\/uploads\/2020\/04\/sasa2.png' alt='' title='sasa2' height=\"300\" width=\"300\"  itemprop=\"thumbnailUrl\"  \/><\/div><\/div><\/div><\/div><\/div><!--close column table wrapper. Autoclose: 1 --><div class='flex_column_table av-equal-height-column-flextable -flextable' ><div class=\"flex_column av_two_third  no_margin flex_column_table_cell av-equal-height-column av-align-middle    \" style='background: #e5e5e5; padding:30px; background-color:#e5e5e5; border-radius:0px; '><p><div style='padding-bottom:10px; ' class='av-special-heading av-special-heading-h3  blockquote modern-quote   '><h3 class='av-special-heading-tag '  itemprop=\"headline\"  >Professor Ching-Han Chen<\/h3><div class ='av-subheading av-subheading_below  ' style='font-size:15px;'><p>NCU<\/p>\n<\/div><div class='special-heading-border'><div class='special-heading-inner-border' ><\/div><\/div><\/div><br \/>\n<div style=' margin-top:20px; margin-bottom:20px;'  class='hr hr-custom hr-center hr-icon-no   '><span class='hr-inner   inner-border-av-border-thin' style=' width:100%; border-color:#00a0e9;' ><span class='hr-inner-style'><\/span><\/span><\/div><br \/>\n<article class=\"iconbox iconbox_left     \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class=\"iconbox_content\"><header class=\"entry-content-header\"><div class=\"iconbox_icon heading-color \" aria-hidden='true' data-av_icon='\ue855' data-av_iconfont='entypo-fontello'  style='color:#0069b2; ' ><\/div><h3 class='iconbox_content_title '  itemprop=\"headline\"  >Core Technologies<\/h3><\/header><div class='iconbox_content_container  '  itemprop=\"text\"  ><p>CDNA, a natural language based dialog navigation agent , which use a cell-inspired efficient software framework, is implemented for blind navigation:(1) conversational navigation service, (2) real-time path planning and path modification, and (3) location guide and place evaluation. CDNA integrate a deep learning NLP engine that use Google speech recognition engine, real-time text inference tasks, including topic generation, topic hints, semantic disambiguation and classification, analog production, and blind-guided situation-oriented reasoning. The chinese POST and segmentation of dialog system use Stanford Parser, and the concept representation mechanism of dialog use common-sense database data from ConceptNet and E-HowNet.<\/p>\n<\/div><\/div><footer class=\"entry-footer\"><\/footer><\/article><br \/>\n<div class='avia-button-wrap avia-button-right  '><a href='https:\/\/pairlabs.ai\/en\/portfolio-item\/professor-ching-han-chen-p-en\/'  class='avia-button av-icon-on-hover  avia-icon_select-yes-right-icon avia-color-theme-color avia-size-medium avia-position-right '   ><span class='avia_iconbox_title' >MORE<\/span><span class='avia_button_icon avia_button_icon_right' aria-hidden='true' data-av_icon='\ue803' data-av_iconfont='entypo-fontello'><\/span><\/a><\/div><\/p><\/div><\/div><!--close column table wrapper. Autoclose: 1 --><\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='after_section_3' class='main_color av_default_container_wrap container_wrap sidebar_right' style=' '   style=' ' ><div class='container' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-4304'><div class='entry-content-wrapper clearfix'><\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='av_section_4' class='avia-section main_color avia-section-default avia-no-border-styling avia-bg-style-scroll    container_wrap sidebar_right' style=' '   style=' ' ><div class='container' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-4304'><div class='entry-content-wrapper clearfix'>\n<div class='flex_column_table av-equal-height-column-flextable -flextable' ><div class=\"flex_column av_one_third  no_margin flex_column_table_cell av-equal-height-column av-align-middle first   \" style='background: #bbe8e1; padding:30px; background-color:#bbe8e1; border-radius:0px; '><div class='avia-image-container  av-styling-     avia-align-center '  itemprop=\"ImageObject\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\"  ><div class='avia-image-container-inner'><div class='avia-image-overlay-wrap'><img class='avia_image' src='https:\/\/pairlabs.ai\/wp-content\/uploads\/2020\/06\/photo-49.jpg' alt='' title='photo' height=\"300\" width=\"300\"  itemprop=\"thumbnailUrl\"  \/><\/div><\/div><\/div><\/div><\/div><!--close column table wrapper. Autoclose: 1 --><div class='flex_column_table av-equal-height-column-flextable -flextable' ><div class=\"flex_column av_two_third  no_margin flex_column_table_cell av-equal-height-column av-align-middle    \" style='background: #e5e5e5; padding:30px; background-color:#e5e5e5; border-radius:0px; '><p><div style='padding-bottom:10px; ' class='av-special-heading av-special-heading-h3  blockquote modern-quote   '><h3 class='av-special-heading-tag '  itemprop=\"headline\"  >Professor Hsin-Min Wang<\/h3><div class ='av-subheading av-subheading_below  ' style='font-size:15px;'><p>Academia Sinica<\/p>\n<\/div><div class='special-heading-border'><div class='special-heading-inner-border' ><\/div><\/div><\/div><br \/>\n<div style=' margin-top:20px; margin-bottom:20px;'  class='hr hr-custom hr-center hr-icon-no   '><span class='hr-inner   inner-border-av-border-thin' style=' width:100%; border-color:#00a0e9;' ><span class='hr-inner-style'><\/span><\/span><\/div><br \/>\n<article class=\"iconbox iconbox_left     \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class=\"iconbox_content\"><header class=\"entry-content-header\"><div class=\"iconbox_icon heading-color \" aria-hidden='true' data-av_icon='\ue855' data-av_iconfont='entypo-fontello'  style='color:#0069b2; ' ><\/div><h3 class='iconbox_content_title '  itemprop=\"headline\"  >Core Technologies<\/h3><\/header><div class='iconbox_content_container  '  itemprop=\"text\"  ><p>Our research goal is to develop methods for analyzing, extracting, recognizing, indexing, and retrieving information from audio data, with special emphasis on speech and music. Currently, we focus on automatic speech recognition, voice conversion, text-to-speech synthesis, speaker recognition, speaker diarization, and spoken langauge identification.<\/p>\n<\/div><\/div><footer class=\"entry-footer\"><\/footer><\/article><br \/>\n<div class='avia-button-wrap avia-button-right  '><a href='https:\/\/pairlabs.ai\/en\/portfolio-item\/professor-hsin-min-wang-c-en\/'  class='avia-button av-icon-on-hover  avia-icon_select-yes-right-icon avia-color-theme-color avia-size-medium avia-position-right '   ><span class='avia_iconbox_title' >MORE<\/span><span class='avia_button_icon avia_button_icon_right' aria-hidden='true' data-av_icon='\ue803' data-av_iconfont='entypo-fontello'><\/span><\/a><\/div><\/p><\/div><\/div><!--close column table wrapper. Autoclose: 1 -->\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='after_section_4' class='main_color av_default_container_wrap container_wrap sidebar_right' style=' '   style=' ' ><div class='container' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-4304'><div class='entry-content-wrapper clearfix'><\/p>\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='av_section_5' class='avia-section main_color avia-section-default avia-no-border-styling avia-bg-style-scroll    container_wrap sidebar_right' style=' '   style=' ' ><div class='container' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-4304'><div class='entry-content-wrapper clearfix'>\n<div class='flex_column_table av-equal-height-column-flextable -flextable' ><div class=\"flex_column av_one_third  no_margin flex_column_table_cell av-equal-height-column av-align-middle first   \" style='background: #bbe8e1; padding:30px; background-color:#bbe8e1; border-radius:0px; '><div class='avia-image-container  av-styling-     avia-align-center '  itemprop=\"ImageObject\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\"  ><div class='avia-image-container-inner'><div class='avia-image-overlay-wrap'><img class='avia_image' src='https:\/\/pairlabs.ai\/wp-content\/uploads\/2020\/06\/photo-50.jpg' alt='' title='photo' height=\"300\" width=\"300\"  itemprop=\"thumbnailUrl\"  \/><\/div><\/div><\/div><\/div><\/div><!--close column table wrapper. Autoclose: 1 --><div class='flex_column_table av-equal-height-column-flextable -flextable' ><div class=\"flex_column av_two_third  no_margin flex_column_table_cell av-equal-height-column av-align-middle    \" style='background: #e5e5e5; padding:30px; background-color:#e5e5e5; border-radius:0px; '><p><div style='padding-bottom:10px; ' class='av-special-heading av-special-heading-h3  blockquote modern-quote   '><h3 class='av-special-heading-tag '  itemprop=\"headline\"  >Professor Wen-Lian Hsu<\/h3><div class ='av-subheading av-subheading_below  ' style='font-size:15px;'><p>Academia Sinica<\/p>\n<\/div><div class='special-heading-border'><div class='special-heading-inner-border' ><\/div><\/div><\/div><br \/>\n<div style=' margin-top:20px; margin-bottom:20px;'  class='hr hr-custom hr-center hr-icon-no   '><span class='hr-inner   inner-border-av-border-thin' style=' width:100%; border-color:#00a0e9;' ><span class='hr-inner-style'><\/span><\/span><\/div><br \/>\n<article class=\"iconbox iconbox_left     \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class=\"iconbox_content\"><header class=\"entry-content-header\"><div class=\"iconbox_icon heading-color \" aria-hidden='true' data-av_icon='\ue855' data-av_iconfont='entypo-fontello'  style='color:#0069b2; ' ><\/div><h3 class='iconbox_content_title '  itemprop=\"headline\"  >Core Technologies<\/h3><\/header><div class='iconbox_content_container  '  itemprop=\"text\"  ><p>Developed components including the \u201cFacebook of Words\u201d knowledge base, sentence reduction method, statistical principle-based approach (SPBA), and natural language scripting engine. We can simultaneously handle word segmentation, parsing, named entity recognition, dialogue generation and other important natural language processing tasks. It has been successfully used in dialogue agents for primary school math problem solving and financial information or other professional domains. The effectiveness of our systems are verified by users from industry, academia, and the general public to be outstanding.<\/p>\n<\/div><\/div><footer class=\"entry-footer\"><\/footer><\/article><br \/>\n<div class='avia-button-wrap avia-button-right  '><a href='https:\/\/pairlabs.ai\/en\/portfolio-item\/professor-wen-lian-hsu-c-en\/'  class='avia-button av-icon-on-hover  avia-icon_select-yes-right-icon avia-color-theme-color avia-size-medium avia-position-right '   ><span class='avia_iconbox_title' >MORE<\/span><span class='avia_button_icon avia_button_icon_right' aria-hidden='true' data-av_icon='\ue803' data-av_iconfont='entypo-fontello'><\/span><\/a><\/div><\/p><\/div><\/div><!--close column table wrapper. Autoclose: 1 -->\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='after_section_5' class='main_color av_default_container_wrap container_wrap sidebar_right' style=' '   style=' ' ><div class='container' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-4304'><div class='entry-content-wrapper clearfix'>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":8,"featured_media":0,"parent":4297,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-4304","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/pairlabs.ai\/en\/wp-json\/wp\/v2\/pages\/4304","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pairlabs.ai\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/pairlabs.ai\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/pairlabs.ai\/en\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/pairlabs.ai\/en\/wp-json\/wp\/v2\/comments?post=4304"}],"version-history":[{"count":5,"href":"https:\/\/pairlabs.ai\/en\/wp-json\/wp\/v2\/pages\/4304\/revisions"}],"predecessor-version":[{"id":5582,"href":"https:\/\/pairlabs.ai\/en\/wp-json\/wp\/v2\/pages\/4304\/revisions\/5582"}],"up":[{"embeddable":true,"href":"https:\/\/pairlabs.ai\/en\/wp-json\/wp\/v2\/pages\/4297"}],"wp:attachment":[{"href":"https:\/\/pairlabs.ai\/en\/wp-json\/wp\/v2\/media?parent=4304"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}