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pro vyhledávání: '"Polajnar, Tamara"'
Autor:
Polajnar, Tamara
Type-based compositional distributional semantic models present an interesting line of research into functional representations of linguistic meaning. One of the drawbacks of such models, however, is the lack of training data required to train each w
Externí odkaz:
http://arxiv.org/abs/1607.02310
Autor:
Polajnar, Tamara
Automatic detection of protein-protein interactions (PPIs) in biomedical publications is vital for efficient biological research. It also presents a host of new challenges for pattern recognition methodologies, some of which will be addressed by the
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.524031
The functional approach to compositional distributional semantics considers transitive verbs to be linear maps that transform the distributional vectors representing nouns into a vector representing a sentence. We conduct an initial investigation tha
Externí odkaz:
http://arxiv.org/abs/1411.7942
This paper investigates the learning of 3rd-order tensors representing the semantics of transitive verbs. The meaning representations are part of a type-driven tensor-based semantic framework, from the newly emerging field of compositional distributi
Externí odkaz:
http://arxiv.org/abs/1312.5985
Publikováno v:
Journal of Biomedical Semantics, Vol 2, Iss 1, p 1 (2011)
Abstract Background Detection of sentences that describe protein-protein interactions (PPIs) in biomedical publications is a challenging and unresolved pattern recognition problem. Many state-of-the-art approaches for this task employ kernel classifi
Externí odkaz:
https://doaj.org/article/d18c58caac8b430bba8a0280ceaed2b5
This is the author accepted manuscript. The final version is available from MIT Press via http://dx.doi.org/10.1162/COLI_a_00263
This article introduces RELPRON, a large dataset of subject and object relative clauses, for the evaluation of metho
This article introduces RELPRON, a large dataset of subject and object relative clauses, for the evaluation of metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81468fc0e16b4f37d2072b142c77eaf2
https://www.repository.cam.ac.uk/handle/1810/256438
https://www.repository.cam.ac.uk/handle/1810/256438
Publikováno v:
TIA 2013-10th International Conference on Terminology and Artificial Intelligence
TIA 2013-10th International Conference on Terminology and Artificial Intelligence, 2013, Paris, France
TIA 2013-10th International Conference on Terminology and Artificial Intelligence, 2013, Paris, France
Conference paper Extracting general or intermediate level terms is a relevant problem that has not received much attention in literature. Current approaches for term extraction rely on contrastive corpora to identify domain-specific terms, which make
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::36ce20547d5b0819348421c3fb0e7e1e
https://hal.science/hal-03826973/document
https://hal.science/hal-03826973/document
Akademický článek
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Publikováno v:
Advances in Information Retrieval; 2013, p582-593, 12p
Publikováno v:
Natural Language Processing & Information Systems (9783642388231); 2013, p152-163, 12p