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International Workshop on Natural Language Processing and Cognitive Science最新文献

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Emulation of Human Sentence Processing Using an Automatic Dependency Shift-Reduce Parser 使用自动依赖移位-减少解析器模拟人类句子处理
International Workshop on Natural Language Processing and Cognitive Science Pub Date : 2016-11-27 DOI: 10.5220/0001732001370146
Atanas Chanev
{"title":"Emulation of Human Sentence Processing Using an Automatic Dependency Shift-Reduce Parser","authors":"Atanas Chanev","doi":"10.5220/0001732001370146","DOIUrl":"https://doi.org/10.5220/0001732001370146","url":null,"abstract":"An automatic cleaning system is provided for a mud separator apparatus. Water and mud inputs to a mud pump feeding the separator are respectively controlled by two butterfly valves ganged for cooperation, and operated by a single valve actuator motor. When the mud separator is shut off, a time delay relay is actuated which keeps the mud separator rotor motor on line during a predetermined flush cycle. The valve actuator opens the water valve, and closes the mud valve, permitting the separator to be flushed with water. Activating the start button returns the valve actuator to the position in which the mud valve is open and the water valve is closed, thereby returning the apparatus to the mud separation cycle.","PeriodicalId":378427,"journal":{"name":"International Workshop on Natural Language Processing and Cognitive Science","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124144943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Relating Production Units and Alignment Units in Translation Activity Data 翻译活动数据中生产单元和校准单元的关联
International Workshop on Natural Language Processing and Cognitive Science Pub Date : 2016-11-25 DOI: 10.5220/0003024400370046
M. Carl, A. L. Jakobsen
{"title":"Relating Production Units and Alignment Units in Translation Activity Data","authors":"M. Carl, A. L. Jakobsen","doi":"10.5220/0003024400370046","DOIUrl":"https://doi.org/10.5220/0003024400370046","url":null,"abstract":"Dept. of International Languages Studies & Computational Linguistics,Copenhagen Business School, 2000-Frederiksberg, DenmarkAbstract. The definition and characterisation of Translation Units(TUs) in human translation is controversial and has been described inmany different ways. This paper looks at TUs from a translation processperspective: we investigate the sequences of keystrokes which have beentyped during translation production and re-define TUs in terms of textproduction units (PUs). We correlate those units with translation equiv-alences in the translation product, so-called alignment units (AUs) andcompare the translation performance of student and professional trans-lators on a small translation task of 160 words from English into Danish.In contrast to what has frequently been assumed, our data reveals thatTUs are rather coarse, as compared to the notion of ‘translation atoms’,comprising several AUs, and they are particularly coarse for professionaltranslators.","PeriodicalId":378427,"journal":{"name":"International Workshop on Natural Language Processing and Cognitive Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129227000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Semantic Navigation of News 新闻的语义导航
International Workshop on Natural Language Processing and Cognitive Science Pub Date : 2016-11-23 DOI: 10.5220/0001735700420051
W. Kasper, Jörg Steffen, Yajing Zhang
{"title":"Semantic Navigation of News","authors":"W. Kasper, Jörg Steffen, Yajing Zhang","doi":"10.5220/0001735700420051","DOIUrl":"https://doi.org/10.5220/0001735700420051","url":null,"abstract":"We present a system for browsing a news repository that is based on semantic similarity of documents. News documents get automatically annotated semantically using information extraction. Annotations are displayed to a user who can easily retrieve crosslingual semantically related documents by selecting interesting content items.","PeriodicalId":378427,"journal":{"name":"International Workshop on Natural Language Processing and Cognitive Science","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132175430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Building a Recommender System using Community Level Social Filtering 使用社区级社会过滤构建推荐系统
International Workshop on Natural Language Processing and Cognitive Science Pub Date : 2016-11-21 DOI: 10.5220/0001733200320041
A. Balahur, A. Montoyo
{"title":"Building a Recommender System using Community Level Social Filtering","authors":"A. Balahur, A. Montoyo","doi":"10.5220/0001733200320041","DOIUrl":"https://doi.org/10.5220/0001733200320041","url":null,"abstract":"","PeriodicalId":378427,"journal":{"name":"International Workshop on Natural Language Processing and Cognitive Science","volume":"51 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120988146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Robust Morphologic Analyzer for Highly Inflected Languages 高度屈折语言的鲁棒形态分析器
International Workshop on Natural Language Processing and Cognitive Science Pub Date : 2016-11-21 DOI: 10.5220/0003015301120118
Andrés Tomás Hohendahl, J. Zelasco, J. Donayo
{"title":"Robust Morphologic Analyzer for Highly Inflected Languages","authors":"Andrés Tomás Hohendahl, J. Zelasco, J. Donayo","doi":"10.5220/0003015301120118","DOIUrl":"https://doi.org/10.5220/0003015301120118","url":null,"abstract":"We present a multilingual robust morphologic tagger and tokenizer for highly inflected languages like Spanish, with efficient spell correction and ‘sound-like’ word inference, obtaining some semantic extraction even on parasynthetic and unknown words. This algorithm combines rules, statistical best-affix-fit along with a language estimator. A rich flag set controls the internal behaviour. The system has been designed for efficiency and low memory footprint, using data structures based on simple available affixing rules. Our system, packed with a Spanish dictionary of 83k lemmas and 5k rules, recognizes 2.2M exact words, the guessing word-space is many times this much.","PeriodicalId":378427,"journal":{"name":"International Workshop on Natural Language Processing and Cognitive Science","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121785926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Mining Linguistic and Molecular Biology Texts through Specialized Concept Formation 通过专业概念形成挖掘语言学和分子生物学文本
International Workshop on Natural Language Processing and Cognitive Science Pub Date : 2016-11-20 DOI: 10.5220/0002199101170121
Gemma Bel Enguix, V. Dahl, M. Dolores Jiménez-López
{"title":"Mining Linguistic and Molecular Biology Texts through Specialized Concept Formation","authors":"Gemma Bel Enguix, V. Dahl, M. Dolores Jiménez-López","doi":"10.5220/0002199101170121","DOIUrl":"https://doi.org/10.5220/0002199101170121","url":null,"abstract":"We present, discuss and exemplify a fully implemented specialization of the Concept Formation Cognitive model into a model of text mining that can be applied to human or molecular biology languages.","PeriodicalId":378427,"journal":{"name":"International Workshop on Natural Language Processing and Cognitive Science","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115605400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Learning Sentence Reduction Rules for Brazilian Portuguese 学习巴西葡萄牙语减句规则
International Workshop on Natural Language Processing and Cognitive Science Pub Date : 2016-11-19 DOI: 10.5220/0003030300900099
Daniel Kawamoto, T. Pardo
{"title":"Learning Sentence Reduction Rules for Brazilian Portuguese","authors":"Daniel Kawamoto, T. Pardo","doi":"10.5220/0003030300900099","DOIUrl":"https://doi.org/10.5220/0003030300900099","url":null,"abstract":"We present in this paper a method for sentence reduction with summarization purposes. The task is modeled as a machine learning problem, relying on shallow and linguistic features, in order to automatically learn symbolic patterns/rules that produce good sentence reductions. We evaluate our results with Brazilian Portuguese texts and show that we achieve high accuracy and produce better results than the existing solution for this language.","PeriodicalId":378427,"journal":{"name":"International Workshop on Natural Language Processing and Cognitive Science","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123335279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Towards a Framework for Integrated Natural Language Processing Architectures for Social Robots 面向社交机器人的集成自然语言处理架构框架
International Workshop on Natural Language Processing and Cognitive Science Pub Date : 2016-11-15 DOI: 10.5220/0001741001650174
Matthias Scheutz, K. M. Eberhard
{"title":"Towards a Framework for Integrated Natural Language Processing Architectures for Social Robots","authors":"Matthias Scheutz, K. M. Eberhard","doi":"10.5220/0001741001650174","DOIUrl":"https://doi.org/10.5220/0001741001650174","url":null,"abstract":"Current social robots lack the natural language capacities to be able to interact with humans in natural ways. In this paper, we present results from human experiments intended to isolate spoken interaction types in a search and rescue task and briefly discuss implications for NLP architectures for embodied situated agents.","PeriodicalId":378427,"journal":{"name":"International Workshop on Natural Language Processing and Cognitive Science","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117300652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Using Function Words for Authorship Attribution: Bag-Of-Words vs. Sequential Rules 在作者归属中使用虚词:词袋与顺序规则
International Workshop on Natural Language Processing and Cognitive Science Pub Date : 2014-10-27 DOI: 10.1515/9781501501289.115
M. Boukhaled, J. Ganascia
{"title":"Using Function Words for Authorship Attribution: Bag-Of-Words vs. Sequential Rules","authors":"M. Boukhaled, J. Ganascia","doi":"10.1515/9781501501289.115","DOIUrl":"https://doi.org/10.1515/9781501501289.115","url":null,"abstract":"Authorship attribution is the task of identifying the author of a given document. Various style markers have been proposed in the literature to deal with the authorship attribution task. Frequencies of function words have been shown to be very reliable and effective for this task. However, despite the fact that they are state-of-the-art, they basically rely on the invalid bag-of-words assumption, which stipulates that text is a set of independent words. In this contribution, we present a comparative study on using two different types of style marker based on function words for authorship attribution. We compare the effectiveness of using sequential rules of function words as style marker that do not relay on the bag-of-words assumption to that of the frequency of function words which does. Our results show that the frequencies of function words outperform the sequential rules.","PeriodicalId":378427,"journal":{"name":"International Workshop on Natural Language Processing and Cognitive Science","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134593493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Linguistically-Motivated Automatic Morphological Analysis for Wordnet Enrichment 基于语言动机的词汇网自动形态分析
International Workshop on Natural Language Processing and Cognitive Science Pub Date : 2009-12-01 DOI: 10.5220/0002171900360045
Tom Richens
{"title":"Linguistically-Motivated Automatic Morphological Analysis for Wordnet Enrichment","authors":"Tom Richens","doi":"10.5220/0002171900360045","DOIUrl":"https://doi.org/10.5220/0002171900360045","url":null,"abstract":"Performance of NLP systems can only be as good as the lexical resources they employ. By modelling the evolved structure of language, there is scope for morpho-semantic enrichment of these resources. A set of linguistically-informed morphological rules is formulated from the CatVar database, implemented in a Java model of WordNet and tested on suffixation and desuffixation. Overgeneration and undergeneration are measured and an approach to improving these by using multilingual resources is proposed.","PeriodicalId":378427,"journal":{"name":"International Workshop on Natural Language Processing and Cognitive Science","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127839772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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