CLARIN-PL
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Polish Spatial Texts (PST) 2.0
No full textThe extended version of Polish Spatial Text corpus. Texts derived from polish travel blogs manually annotated with spatial expressions. A spatial expression is a text fragment which describes a relative location of two or more physical objects to each other
A collaborative system for building and maintaining wordnets
Get PDFA collaborative system for wordnet construction and maintenance is presented. Its key modules includeWordnetLoom editor, Wordnet Tracker and JavaScript Graph. They offer a number of functionalities that allow solving problems on every stage of building, editing and aligning wordnets by teams of lexicographers working in parallel. The experience collected in recent years has allowed us to refine applications and add new modules to provide the best user experience in a reliable and easily maintainable way
Tagger SentiOne - version 2
No full textThis is the second version of the morpho-syntactic tagger for the Polish language, adapted to UGC-processing. It has been enriched with some heuristics to improve its accuracy and a tokenizer
Assamese Root Words
No full textThis list comprises of Assamese root words. Size of the Assamese Root Word List is 15,750 words
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1. These Assamese NLP resources including the Tools and Applications are developed
during Research and Development Projects as well as Masters and Ph.D. thesis
works.
2. These are mainly developed or generated at Gauhati University Department of
Computer Science and Department of Information Technology.
3. These resources are used by students and researchers for further studies, researches, as
well as for design and development of tools and applications.
4. Computational Linguistics in Assamese is not rich, and Natural Language Processing
works have mainly started during last two decades, and most of the resources are first
generation resources, and with ample scope for upgrading, enriching, and purifying.
5. These are very good and essential resources for all the researchers in Assamese NLP, as
the language requires more and more NLP works to make Assamese a rich media for
the digital world.
6. Anyone interested, or in need of such resources may express their interest for the
required resources, and the way of availability will be advised/informed accordingly.
7. These are purely research materials and could only be used for further research only.
8. Researchers may visit the NLP Lab of Department of Information Technology, Gauhati
University, Guwahati, India or contact us.
9. Researchers interested in collaborative works, and also students for project works, are
welcome.
10. Contact person is Professor Shikhar Kr. Sarma, Department of Information
Technology, Gauhati University, Guwahati 781014, Assam, India. Email-
[email protected]
Assamese POS Tagger
No full textAssamese POS tagger is a CRF++ based POS Tagger. CRF++ is a customizable open source Conditional Random Fields for tagging/labeling continuos text. CRF++ is implemented for generic purpose and can be applied to any natural language provided the tagset. CRF++ tool is designed in C++ language.
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1. These Assamese NLP resources including the Tools and Applications are developed
during Research and Development Projects as well as Masters and Ph.D. thesis
works.
2. These are mainly developed or generated at Gauhati University Department of
Computer Science and Department of Information Technology.
3. These resources are used by students and researchers for further studies, researches, as
well as for design and development of tools and applications.
4. Computational Linguistics in Assamese is not rich, and Natural Language Processing
works have mainly started during last two decades, and most of the resources are first
generation resources, and with ample scope for upgrading, enriching, and purifying.
5. These are very good and essential resources for all the researchers in Assamese NLP, as
the language requires more and more NLP works to make Assamese a rich media for
the digital world.
6. Anyone interested, or in need of such resources may express their interest for the
required resources, and the way of availability will be advised/informed accordingly.
7. These are purely research materials and could only be used for further research only.
8. Researchers may visit the NLP Lab of Department of Information Technology, Gauhati
University, Guwahati, India or contact us.
9. Researchers interested in collaborative works, and also students for project works, are
welcome.
10. Contact person is Professor Shikhar Kr. Sarma, Department of Information
Technology, Gauhati University, Guwahati 781014, Assam, India. Email-
[email protected]
The Adventure of the Speckled Band 1.0 (manually tagged)
No full text"The Adventure of the Speckled Band" (pol. "Sherlock Holmes i Pstrokata Opaska") by Arthur Conan Doyle - modern Polish translation manually tagged with morphological information. Aligned with English version and presented as a parallel corpus in Kontext system.
More information about English version: http://compling.hss.ntu.edu.sg/events/2017-ws-story/
Translation:
Marta Błaszczak, Kacper Paszke, Ewa Rudnicka, Jan Wieczorek
Morphological annotation:
Marcin Oleksy, Wioleta Kobylińska, Dominika Fikus, Dagmara Kałku
Proceedings of the Tenth Global Wordnet Conference
Get PDFProceedings of the Tenth Global Wordnet Conferenc
Propagation of emotions, arousal and polarity inWordNet using Heterogeneous Structured Synset Embeddings
Get PDFIn this paper we present a novel method for emotive propagation in a wordnet based on a large emotive seed. We introduce a sense-level emotive lexicon annotated with polarity, arousal and emotions. The data were annotated as a part of a large study involving over 20,000 participants. A total of 30,000 lexical units in Polish WordNet were described with metadata, each unit received about 50 annotations concerning polarity, arousal and 8 basic emotions, marked on a multilevel scale. We present a preliminary approach to propagating emotive metadata to unlabeled lexical units based on the distribution of manual annotations using logistic regression and description of mixed synset embeddings based on our Heterogeneous Structured Synset Embeddings