ACM Trans. Speech Lang. Process.最新文献_第2页

A computational model of logical metonymy 逻辑转喻的计算模型

ACM Trans. Speech Lang. Process. Pub Date : 2013-07-01 DOI: 10.1145/2483969.2483973

Ekaterina Shutova, J. Kaplan, Simone Teufel, A. Korhonen

引用次数: 14

Word sense and semantic relations in noun compounds 名词复合词的词义和语义关系

ACM Trans. Speech Lang. Process. Pub Date : 2013-07-01 DOI: 10.1145/2483969.2483971

Su Nam Kim, Timothy Baldwin

引用次数: 9

Learning to detect english and hungarian light verb constructions 学习识别英语和匈牙利语轻动词结构

ACM Trans. Speech Lang. Process. Pub Date : 2013-06-01 DOI: 10.1145/2483691.2483695

V. Vincze, T. IstvánNagy, János Zsibrita

{"title":"Learning to detect english and hungarian light verb constructions","authors":"V. Vincze, T. IstvánNagy, János Zsibrita","doi":"10.1145/2483691.2483695","DOIUrl":"https://doi.org/10.1145/2483691.2483695","url":null,"abstract":"Light verb constructions consist of a verbal and a nominal component, where the noun preserves its original meaning while the verb has lost it (to some degree). They are syntactically flexible and their meaning can only be partially computed on the basis of the meaning of their parts, thus they require special treatment in natural language processing. For this purpose, the first step is to identify light verb constructions.\u0000 In this study, we present our conditional random fields-based tool—called FXTagger—for identifying light verb constructions. The flexibility of the tool is demonstrated on two, typologically different, languages, namely, English and Hungarian. As earlier studies labeled different linguistic phenomena as light verb constructions, we first present a linguistics-based classification of light verb constructions and then show that FXTagger is able to identify different classes of light verb constructions in both languages.\u0000 Different types of texts may contain different types of light verb constructions; moreover, the frequency of light verb constructions may differ from domain to domain. Hence we focus on the portability of models trained on different corpora, and we also investigate the effect of simple domain adaptation techniques to reduce the gap between the domains. Our results show that in spite of domain specificities, out-domain data can also contribute to the successful LVC detection in all domains.","PeriodicalId":412532,"journal":{"name":"ACM Trans. Speech Lang. Process.","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126406016","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: 23

Modeling the internal variability of multiword expressions through a pattern-based method 通过基于模式的方法对多词表达式的内部可变性进行建模

ACM Trans. Speech Lang. Process. Pub Date : 2013-06-01 DOI: 10.1145/2483691.2483696

M. Nissim, Andrea Zaninello

{"title":"Modeling the internal variability of multiword expressions through a pattern-based method","authors":"M. Nissim, Andrea Zaninello","doi":"10.1145/2483691.2483696","DOIUrl":"https://doi.org/10.1145/2483691.2483696","url":null,"abstract":"The issue of internal variability of multiword expressions (MWEs) is crucial towards their identification and extraction in running text. We present a corpus-supported and computational study on Italian MWEs, aimed at defining an automatic method for modeling internal variation, exploiting frequency and part-of-speech (POS) information. We do so by deriving an XML-encoded lexicon of MWEs based on a manually compiled dictionary, which is then projected onto a a large corpus. Since a search for fixed forms suffers from low recall, while an unconstrained flexible search for lemmas yields a loss in precision, we suggest a procedure aimed at maximizing precision in the identification of MWEs within a flexible search. Our method builds on the idea that internal variability can be modelled via the novel introduction of variation patterns, which work over POS patterns, and can be used as working tools for controlling precision. We also compare the performance of variation patterns to that of association measures, and explore the possibility of using variation patterns in MWE extraction in addition to identification. Finally, we suggest that corpus-derived, pattern-related information can be included in the original MWE lexicon by means of an enriched coding and the creation of an XML-based repository of patterns.","PeriodicalId":412532,"journal":{"name":"ACM Trans. Speech Lang. Process.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126692126","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: 19

Lexical semantic factors in the acceptability of english support-verb-nominalization constructions 英语支撑物-动词-名词化结构可接受性的词汇语义因素

ACM Trans. Speech Lang. Process. Pub Date : 2013-06-01 DOI: 10.1145/2483691.2483694

Anthony R. Davis, Leslie Barrett

引用次数: 5

Introduction to the special issue on multiword expressions: From theory to practice and use 多词表达专刊导论:从理论到实践和使用

ACM Trans. Speech Lang. Process. Pub Date : 2013-06-01 DOI: 10.1145/2483691.2483692

Carlos Ramisch, Aline Villavicencio, Valia Kordoni

引用次数: 23

Towards content-level coherence with aspect-guided summarization 通过方面导向的摘要实现内容级的一致性

ACM Trans. Speech Lang. Process. Pub Date : 2013-03-01 DOI: 10.1145/2442076.2442078

Renxian Zhang, Wenjie Li, D. Gao

引用次数: 4

Managing information disparity in multilingual document collections 管理多语言文档集合中的信息差异

ACM Trans. Speech Lang. Process. Pub Date : 2013-03-01 DOI: 10.1145/2442076.2442077

Kevin Duh, C. Yeung, Tomoharu Iwata, M. Nagata

引用次数: 18

Syllable Specific Unit Selection Cost Functions for Text-to-Speech Synthesis 用于文本到语音合成的音节特定单位选择成本函数

ACM Trans. Speech Lang. Process. Pub Date : 2012-11-01 DOI: 10.1145/2382434.2382435

N. Narendra, K. S. Rao

引用次数: 12

Investigating Metaphorical Language in Sentiment Analysis: A Sense-to-Sentiment Perspective 情感分析中的隐喻语言研究:从感性到感性的视角

ACM Trans. Speech Lang. Process. Pub Date : 2012-11-01 DOI: 10.1145/2382434.2382436

Vassiliki Rentoumi, G. Vouros, V. Karkaletsis, Amalia Moser

引用次数: 26