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Titlebook: Natural Language Processingand Information Systems; 16th International C Rafael Mu?oz,Andrés Montoyo,Elisabeth Métais Conference proceeding

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樓主: 夾子
11#
發(fā)表于 2025-3-23 10:22:33 | 只看該作者
Conference proceedings 2011g/retrieval, NL-based integration of systems, large-scale online linguistic resources, applications of computational linguistics in information systems, management of textual databases NL on data warehouses and data mining, NLP applications, as well as NL and ubiquitous computing.
12#
發(fā)表于 2025-3-23 15:56:16 | 只看該作者
Extracting Explicit and Implicit Causal Relations from Sparse, Domain-Specific Textsimplicit causal relations. Evaluation results revealed that our technique achieves state-of-the-art performance in extracting causal relations from domain-specific, sparse texts. The results also indicate that many of the domain-specific relations were unclassifiable in existing taxonomies of causality.
13#
發(fā)表于 2025-3-23 21:50:56 | 只看該作者
14#
發(fā)表于 2025-3-23 23:58:59 | 只看該作者
15#
發(fā)表于 2025-3-24 05:31:23 | 只看該作者
16#
發(fā)表于 2025-3-24 10:07:59 | 只看該作者
Prosody Analysis of Thai Emotion Utteranceslian, French, Spanish and Arabic. The comparison results show that there are significant differences of prosodic features for each emotion in each language. Therefore, the quality of a text-to-speech system is based on the prosodic analysis of each language.
17#
發(fā)表于 2025-3-24 12:55:23 | 只看該作者
18#
發(fā)表于 2025-3-24 16:32:17 | 只看該作者
Invited Talksrmation extraction in making textual information more accessible. I will also discuss the issue of access to textual information for people with learning disabilities and present the ongoing work in this area of the Simplex project which aims at producing a text simplification system to facilitate e
19#
發(fā)表于 2025-3-24 23:03:56 | 只看該作者
20#
發(fā)表于 2025-3-25 00:38:02 | 只看該作者
Querying Linked Data Using Semantic Relatedness: A Vocabulary Independent Approachf these three elements in a query mechanism for Linked Data is a new contribution in the space. Wikipedia-based relatedness measures address existing limitations of existing works which are based on similarity measures/term expansion based on WordNet. Experimental results using the query mechanism t
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