ColWordNet, an enriched WordNet with collocational information. The following are resources associated with the publication (coming soon): ---
Download the resource here. Retrofitted models with collocational information related with the following lexical functions: intense, weak, perform, create.
Espinosa-Anke, L., Camacho-Collados, J., Rodríguez-Fernández, S., Saggion, H. and Wanner, L. Extending WordNet with Fine-Grained Collocational Information via Supervised Distributional Learning. Coling 2016.
Detailed results of paper "Exploring Morphosyntactic Annotation Over a Spanish Corpus for Dependency Parsing" in DepLing 2013
Title of table: Classification according to general LAS improvement of feature combinations.
MaltOptimizer is a freely available tool developed to facilitate parser optimization using the open-source system MaltParser, a data-driven parser-generator that can be used to train dependency parsers given treebank data. MaltParser offers a wide range of parameters for optimization, including nine different parsing algorithms, two different machine learning libraries (each with a number of different learners), and an expressive specification language that can be used to define arbitrarily rich feature models. MaltOptimizer is an interactive system that first performs an analysis of the training set in order to select a suitable starting point for optimization and then guides the user through the optimization of parsing algorithm, feature model, and learning algorithm.
Benchmarking dataset for Definition Extraction (DE) evaluation in the NLP domain. More details in:
Espinosa-Anke, L., Ronzano, F. and Saggion, H. (2015). Weakly Supervised Definition Extraction. In Proceedings of RANLP 2015. Hissar, Bulgaria.
The datasets on which the experiments were performed as well as the details concerning the code can be found below
This corpus contains fine-grained syntactic dependency annotation of Spanish sentences. It is currently released in the one-word-per-line CoNLL'08 format. It was annotated manually by the NLP group at Universitat Pompeu Fabra Barcelona.
Ready-made systems descrined in the paper "Summarization and Information Extraction in your Tablet" SEPLN 2015.
You will need the GATE system (http://gate.ac.uk)
The applications (gapp files) described in that paper can be downloaded from this page and executed in the GATE system.
For the summarization application you'll need to download and install SUMMA (http://www.taln.upf.edu/pages/summa.upf/).
You'll need to copy the summarization application SUMMA-APP-DEMO-SPANISH.gapp to the gapps directory under summa_plugin
Any doubt contact the authors.
Click here to be redirected to the Taxoembed website.
Espinosa-Anke, L., Camacho-Collados, J., Delli Bovi, C. and Saggion, H. Supervised Distributional Hypernym Discovery via Domain Adaptation. EMNLP 2016.