{"title":"A “small-data”-driven approach to dialogue systems for natural language human computer interaction","authors":"Tiberiu Boros, Stefan Daniel Dumitrescu","doi":"10.1109/SPED.2017.7990441","DOIUrl":"https://doi.org/10.1109/SPED.2017.7990441","url":null,"abstract":"This paper describes a data-driven approach to handling natural language interaction between humans and devices. This approach enables example-based definition and tuning of interaction scenarios. Actions and parameters can be easily configured, requiring no prior knowledge of natural language processing and no previous experience with this type of systems. The platform requires a small amount of language-dependent resources, making this approach ideal for creating multilingual natural language interfaces.","PeriodicalId":345314,"journal":{"name":"2017 International Conference on Speech Technology and Human-Computer Dialogue (SpeD)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132326605","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}
{"title":"An analysis of tweets related to earthquakes, for the Romanian language","authors":"Cecilia Bolea","doi":"10.1109/SPED.2017.7990437","DOIUrl":"https://doi.org/10.1109/SPED.2017.7990437","url":null,"abstract":"This paper provides an analysis of tweets and of their vocabulary in a specific emergency situation — earthquakes, moreover, the correlations between several words from messages and on the linear regressions between word usages and the intensity of the earthquakes. We analyzed the vocabulary used on tweets about Romanian earthquakes with the vocabulary of tweets used for other European earthquakes.","PeriodicalId":345314,"journal":{"name":"2017 International Conference on Speech Technology and Human-Computer Dialogue (SpeD)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123009350","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}
{"title":"Prosodic phrases and contrast units in intonation","authors":"D. Jitca","doi":"10.1109/SPED.2017.7990433","DOIUrl":"https://doi.org/10.1109/SPED.2017.7990433","url":null,"abstract":"The paper explains the relation between prosodic phrases and Information Structure (IS) by decomposing phrases into hierarchies of embedded contrast/communicative units (CUs). At any level of hierarchies, CUs contains IS partitions supported by two contrasted functional constituents. The functional categories are defined by using a two level IS model. Topic-Focus and CU_predicate-CU_argument are the two independent levels of the proposed IS model. The paper presents different types of IS partition hierarchies for IPs and ips by using F0 contours of certain Romanian utterances. The IS hierarchy patterns are used in low level phrase identification within complex intonational phrases.","PeriodicalId":345314,"journal":{"name":"2017 International Conference on Speech Technology and Human-Computer Dialogue (SpeD)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133897026","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}