Matches in ScholarlyData for { ?s ?p ?o. }
- 376 keyword "Corpus (creation, annotation, etc.)".
- 376 keyword "LR Infrastructures and Architectures".
- 376 keyword "LR national/international projects, organizational/policy issues".
- 376 title "A Grid of Regional Language Archives".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasItem item-3.
- authorList hasLastItem item-3.
- item-1 type ListItem.
- item-1 hasContent paul-trilsbeek.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent daan-broeder.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent peter-wittenburg.
- item-3 previous item-2.
- 377 creator hagen-fuerstenau.
- 377 type InProceedings.
- 377 label "Enriching Frame Semantic Resources with Dependency Graphs".
- 377 sameAs 377.
- 377 abstract "We propose two general and robust methods for enriching resources annotated in the Frame Semantic paradigm with syntactic dependency graphs, which can provide useful additional information for applications such as semantic role labeling methods. One method incorporates information of a dependency parser, while the other one assumes the resource to be based on a treebank and uses dependency graphs converted from phrase structure trees. Coverage and accuracy of the methods are evaluated on the English FrameNet and German SALSA corpora. It is shown that large proportions of those resources can be accurately enriched by mapping their annotations onto dependency graphs. Failures to do so are found to be largely due to parser errors and can therefore be seen as an indicator of incorrect parses, which helps to improve parse selection. The remaining failures are analyzed and an outlook on ways of improving the results by adaptation to specific resources is given.".
- 377 hasAuthorList authorList.
- 377 hasTopic Linguistics.
- 377 isPartOf proceedings.
- 377 keyword "Corpus (creation, annotation, etc.)".
- 377 keyword "Lexicon, lexical database".
- 377 keyword "Semantics".
- 377 title "Enriching Frame Semantic Resources with Dependency Graphs".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasLastItem item-1.
- item-1 type ListItem.
- item-1 hasContent hagen-fuerstenau.
- 378 creator beatrice-daille.
- 378 creator driss-aboutajdine.
- 378 creator siham-boulaknadel.
- 378 type InProceedings.
- 378 label "A Multi-Word Term Extraction Program for Arabic Language".
- 378 sameAs 378.
- 378 abstract "Terminology extraction commonly includes two steps: identification of term-like units in the texts, mostly multi-word phrases, and the ranking of the extracted term-like units according to their domain representativity. In this paper, we design a multi-word term extraction program for Arabic language. The linguistic filtering performs a morphosyntactic analysis and takes into account several types of variations. The domain representativity is measure thanks to statistical scores. We evalutate several association measures and show that the results we otained are consitent with those obtained for Romance languages.".
- 378 hasAuthorList authorList.
- 378 hasTopic Linguistics.
- 378 isPartOf proceedings.
- 378 keyword "Information Extraction, Information Retrieval".
- 378 keyword "MultiWord Expressions & Collocations".
- 378 title "A Multi-Word Term Extraction Program for Arabic Language".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasItem item-3.
- authorList hasLastItem item-3.
- item-1 type ListItem.
- item-1 hasContent siham-boulaknadel.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent beatrice-daille.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent driss-aboutajdine.
- item-3 previous item-2.
- 38 creator hiroyuki-shinnou.
- 38 creator minoru-sasaki.
- 38 type InProceedings.
- 38 label "Ping-pong Document Clustering using NMF and Linkage-Based Refinement".
- 38 sameAs 38.
- 38 abstract "This paper proposes a ping-pong document clustering method using NMF and the linkage based refinement alternately, in order to improve the clustering result of NMF. The use of NMF in the ping-pong strategy can be expected effective for document clustering. However, NMF in the ping-pong strategy often worsens performance because NMF often fails to improve the clustering result given as the initial values. Our method handles this problem with the stop condition of the ping-pong process. In the experiment, we compared our method with the k-means and NMF by using 16 document data sets. Our method improved the clustering result of NMF significantly.".
- 38 hasAuthorList authorList.
- 38 hasTopic Linguistics.
- 38 isPartOf proceedings.
- 38 keyword "Document Classification, Text categorisation".
- 38 keyword "Information Extraction, Information Retrieval".
- 38 keyword "Text mining".
- 38 title "Ping-pong Document Clustering using NMF and Linkage-Based Refinement".
- 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 hiroyuki-shinnou.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent minoru-sasaki.
- item-2 previous item-1.
- 380 creator alex-dukers.
- 380 creator dieter-van-uytvanck.
- 380 creator jacquelijn-ringersma.
- 380 creator paul-trilsbeek.
- 380 type InProceedings.
- 380 label "Language-Sites: Accessing and Presenting Language Resources via Geographic Information Systems".
- 380 sameAs 380.
- 380 abstract "The emerging area of Geographic Information Systems (GIS) has proven to add an interesting dimension to many research projects. Within the language-sites initiative we have brought together a broad range of links to digital language corpora and resources. Via Google Earth s visually appealing 3D-interface users can spin the globe, zoom into an area they are interested in and access directly the relevant language resources. This paper focuses on several ways of relating the map and the online data (lexica, annotations, multimedia recordings, etc.). Furthermore, we discuss some of the implementation choices that have been made, including future challenges. In addition, we show how scholars (both linguists and anthropologists) are using GIS tools to fulfill their specific research needs by making use of practical examples. This illustrates how both scientists and the general public can benefit from geography-based access to digital language data.".
- 380 hasAuthorList authorList.