Matches in ScholarlyData for { ?s ?p ?o. }
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasLastItem item-2.
- item-1 type ListItem.
- item-1 hasContent thierry-poibeau.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent cedric-messiant.
- item-2 previous item-1.
- 145 creator lee-gillam.
- 145 creator neil-newbold.
- 145 type InProceedings.
- 145 label "Automatic Document Quality Control".
- 145 sameAs 145.
- 145 abstract "This paper focuses on automatically improving the readability of documents. We explore mechanisms relating to content control that could be used (i) by authors to improve the quality and consistency of the language used in authoring; and (ii) to find a means to demonstrate this to readers. To achieve this, we implemented and evaluated a number of software components, including those of the University of Surrey Department of Computing s content analysis applications (System Quirk). The software integrates these components within the commonly available GATE software and incorporates language resources considered useful within the standards development process: a Plain English thesaurus; lookup of ISO terminology provided from a terminology management system (TMS) via ISO 16642; automatic terminology discovery using statistical and linguistic techniques; and readability metrics. Results lead us to the development of an assistive tool, initially for authors of standards but not considered to be limited only to such authors, and also to a system that provides automatic annotation of texts to help readers to understand them. We describe the system developed and made freely available under the auspices of the EU eContent project LIRICS.".
- 145 hasAuthorList authorList.
- 145 hasTopic Linguistics.
- 145 isPartOf proceedings.
- 145 keyword "Authoring tools, proofing".
- 145 keyword "Controlled languages".
- 145 keyword "Tools, systems, applications".
- 145 title "Automatic Document Quality Control".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasLastItem item-2.
- item-1 type ListItem.
- item-1 hasContent neil-newbold.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent lee-gillam.
- item-2 previous item-1.
- 146 creator andrew-hickl.
- 146 creator jeremy-bensley.
- 146 type InProceedings.
- 146 label "Unsupervised Resource Creation for Textual Inference Applications".
- 146 sameAs 146.
- 146 abstract "This paper explores how a battery of unsupervised techniques can be used in order to create large, high-quality corpora for textual inference applications, such as systems for recognizing textual entailment (TE) and textual contradiction (TC). We show that it is possible to automatically generate sets of positive and negative instances of textual entailment and contradiction from textual corpora with greater than 90% precision. We describe how we generated more than 1 million TE pairs - and a corresponding set of and 500,000 TC pairs - from the documents found in the 2 GB AQUAINT-2 newswire corpus.".
- 146 hasAuthorList authorList.
- 146 hasTopic Linguistics.
- 146 isPartOf proceedings.
- 146 keyword "Corpus (creation, annotation, etc.)".
- 146 keyword "Semantics".
- 146 keyword "Statistical methods".
- 146 title "Unsupervised Resource Creation for Textual Inference Applications".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasLastItem item-2.
- item-1 type ListItem.
- item-1 hasContent jeremy-bensley.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent andrew-hickl.
- item-2 previous item-1.
- 147 creator aristomenis-thanopoulos.
- 147 creator katia-lida-kermanidis.
- 147 creator manolis-maragoudakis.
- 147 creator nikos-fakotakis.
- 147 type InProceedings.
- 147 label "Eksairesis: A Domain-Adaptable System for Ontology Building from Unstructured Text".
- 147 sameAs 147.
- 147 abstract "This paper describes Eksairesis, a system for learning economic domain knowledge automatically from Modern Greek text. The knowledge is in the form of economic terms and the semantic relations that govern them. The entire process in based on the use of minimal language-dependent tools, no external linguistic resources, and merely free, unstructured text. The methodology is thereby easily portable to other domains and other languages. The text is pre-processed with basic morphological annotation, and semantic (named and other) entities are identified using supervised learning techniques. Statistical filtering, i.e. corpora comparison is used to extract domain terms and supervised learning is again employed to detect the semantic relations between pairs of terms. Advanced classification schemata, ensemble learning, and one-sided sampling, are experimented with in order to deal with the noise in the data, which is unavoidable due to the low pre-processing level and the lack of sophisticated resources. An average 68.5% f-score over all the classes is achieved when learning semantic relations. Bearing in mind the use of minimal resources and the highly automated nature of the process, classification performance is very promising, compared to results reported in previous work.".
- 147 hasAuthorList authorList.
- 147 hasTopic Linguistics.
- 147 isPartOf proceedings.
- 147 keyword "Acquisition, Machine Learning".
- 147 keyword "Information Extraction, Information Retrieval".
- 147 keyword "Ontologies".
- 147 title "Eksairesis: A Domain-Adaptable System for Ontology Building from Unstructured Text".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasItem item-3.
- authorList hasItem item-4.
- authorList hasLastItem item-4.
- item-1 type ListItem.
- item-1 hasContent katia-lida-kermanidis.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent aristomenis-thanopoulos.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent manolis-maragoudakis.
- item-3 next item-4.
- item-3 previous item-2.
- item-4 type ListItem.
- item-4 hasContent nikos-fakotakis.
- item-4 previous item-3.
- 149 creator dietmar-roesner.
- 149 creator milan-gnjatovic.
- 149 type InProceedings.
- 149 label "On the Role of the NIMITEK Corpus in Developing an Emotion Adaptive Spoken Dialogue System".
- 149 sameAs 149.
- 149 abstract "This paper reports on the creation of the multimodal NIMITEK corpus of affected behavior in human-machine interaction and its role in the development of the NIMITEK prototype system. The NIMITEK prototype system is a spoken dialogue system for supporting users while they solve problems in a graphics system. The central feature of the system is adaptive dialogue management. The system dynamically defines a dialogue strategy according to the current state of the interaction (including also the emotional state of the user). Particular emphasis is devoted to the level of naturalness of interaction. We discuss that a higher level of naturalness can be achieved by combining a habitable natural language interface and an appropriate dialogue strategy. The role of the NIMITEK multimodal corpus in achieving these requirements is twofold: (1) in developing the model of attentional state on the level of user s commands that facilitates processing of flexibly formulated commands, and (2) in defining the dialogue strategy that takes the emotional state of the user into account. Finally, we sketch the implemented prototype system and describe the incorporated dialogue management module. Whereas the prototype system itself is task-specific, the described underlying concepts are intended to be task-independent.".
- 149 hasAuthorList authorList.