{"id":168080,"date":"2015-03-01T00:00:00","date_gmt":"2015-03-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/nlpwin-an-introduction\/"},"modified":"2018-10-16T21:34:29","modified_gmt":"2018-10-17T04:34:29","slug":"nlpwin-an-introduction","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/nlpwin-an-introduction\/","title":{"rendered":"NLPwin &#8211; an introduction"},"content":{"rendered":"<div class=\"asset-content\">\n<p>In this techreport, we provide an introduction to the NLPwin system, a NLP system under development at Microsoft Research. We describe the development methodology, the linguistic representations captured by NLPwin, and we also discuss some of the design decisions that were made in the NLPwin project. A full bibliography is included that covers the papers written about NLPwin as well as the papers written that make use of the NLPwin system output.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this techreport, we provide an introduction to the NLPwin system, a NLP system under development at Microsoft Research. We describe the development methodology, the linguistic representations captured by NLPwin, and we also discuss some of the design decisions that were made in the NLPwin project. A full bibliography is included that covers the papers [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13545],"msr-publication-type":[193718],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-168080","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-human-language-technologies","msr-locale-en_us"],"msr_publishername":"Microsoft Research","msr_edition":"","msr_affiliation":"","msr_published_date":"2015-03-01","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"MSR-TR-2015-23","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"204463","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","title":"NLPwin%20techreport%20-%20final.pdf","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/NLPwin20techreport20-20final.pdf","id":204463,"label_id":0}],"msr_related_uploader":"","msr_attachments":[{"id":204463,"url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/NLPwin20techreport20-20final.pdf"}],"msr-author-ordering":[{"type":"user_nicename","value":"lucyv","user_id":32746,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=lucyv"}],"msr_impact_theme":[],"msr_research_lab":[],"msr_event":[],"msr_group":[],"msr_project":[171444,171415],"publication":[],"video":[],"download":[],"msr_publication_type":"techreport","related_content":{"projects":[{"ID":171444,"post_title":"NLPwin parses AMR","post_name":"nlpwin-parses-amr","post_type":"msr-project","post_date":"2015-03-17 08:54:04","post_modified":"2019-08-19 10:41:24","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/nlpwin-parses-amr\/","post_excerpt":"The Logical Form analysis produced by the NLPwin parser is very close in spirit to the level of semantic representation defined in AMR, Abstract Meaning Representation. The \"NLPwin parses AMR\" project is a conversion from LF to AMR in order to facilitate 1) evaluation of the NLPwin LF and 2) contribution the ongoing discussion of the specification of AMR. In this project, we include publications, as well as links to our LF training data converted&hellip;","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/171444"}]}},{"ID":171415,"post_title":"NLPwin","post_name":"nlpwin","post_type":"msr-project","post_date":"2014-10-03 10:32:59","post_modified":"2019-08-19 10:47:14","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/nlpwin\/","post_excerpt":"An\u00a0introduction by Lucy Vanderwende* * on behalf of everyone who contributed to the development of NLPwin NLPwin is a software project at Microsoft Research that aims to provide Natural Language Processing tools for Windows (hence, NLPwin). The project was started in 1991, just as Microsoft inaugurated the Microsoft Research group; while active development of NLPwin continued through 2002, it is still being updated regularly, primarily in service of Machine Translation. 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