Tài liệu Báo cáo khoa học: "Learning Syntactic Verb Frames Using Graphical Models" doc

... Korea, 8-14 July 2012. c 2012 Association for Computational Linguistics Learning Syntactic Verb Frames Using Graphical Models Thomas Lippincott University of Cambridge Computer Laboratory United ... of verbs: VerbNet (Kipper et al., 2008) draws on several hand-built and semi-automatic sources to link the syntax and semantics of 5,726 verbs. FrameNet (Baker et al., 1998) provides se...

Ngày tải lên: 19/02/2014, 19:20

... associations to resolve structural am- biguities. Brent (5) acquires likely verb subcat- egorization patterns using the frequencies of verb- object-preposition triples. Magerman and Mar- cus (5) propose ... this model using decision trees. The history-based grammar model provides a mechanism for taking advantage of contextual information from anywhere in the discourse his- tory...

Ngày tải lên: 20/02/2014, 21:20

... opti- mizer in its own metric. In Figure 2, single- objective PRO focusing on optimizing RIBES only achieves 0.68, but PMO-PRO using both BLEU and RIBES outperforms with 0.685. The third observation ... sparsely-sampled Pareto Frontiers, and a much better approach would be to enlarge the hy- pothesis space using lattices (Macherey et al., 2008). How to compute Pareto points directly from...

Ngày tải lên: 19/02/2014, 19:20

... training and test data. Since we are using Wikipedia bilingual titles as the gold standard, we exclude any snippets from the wikipedia.org domain, so that we are not using Wikipedia article content ... Awards in Figure 1). 3.1.2 Generating translation feature. We generate translation features using external bilingual resources. The φ 2 score proposed by Gale and Church (1991) i...

Ngày tải lên: 19/02/2014, 19:20

... great performance of jcn on noun-noun and verb- verb pairs. Although wmfvec does much better than elesk, using wmfvec solely is sometimes outperformed by jcn+elesk on nouns and verbs. Therefore to beat jcn+elesk, ... [WN] (Fellbaum, 1998), which allows only noun-noun and verb- verb pair similarity computation since the other parts of speech (adjectives and adverbs) do not have a taxonomic...

Ngày tải lên: 19/02/2014, 19:20

... symbols. aware and syntactically meaningful. However, utilizing syntactic translational equivalences alone for machine translation loses the capability of modeling non -syntactic phrases (Koehn ... syntactic rules. The performance is further improved compared to DirC in all sys- tems. The findings suggest that with the modeling of non -syntactic phrases maintained, more emphasis...

Ngày tải lên: 20/02/2014, 04:20

... is simpler, eschewing quantitative as- pects and path descriptors, and instead focusing on reference objects and frames of reference. This simplifies the learning task, without sacrificing the core ... parameter τ is referred to as the tempera- ture, with a higher temperature causing more ex- ploration, and a lower temperature causing more exploitation. In our experiments τ = 2. Acting with t...

Ngày tải lên: 20/02/2014, 04:20

... Boul- der, Colorado, USA. Ismail Fahmi and Gosse Bouma. 2006. Learning to identify definitions using syntactic features. In Pro- ceedings of the EACL 2006 workshop on Learning Structured Information ... ap- proaches – mostly focused on lexico- syntactic patterns – suffer from both low recall and precision, as definitional sen- tences occur in highly variable syntactic structures. In thi...

Ngày tải lên: 20/02/2014, 04:20

... Marcus. 1995. Text chunking using transformation-based learning. In Proc. of the third workshop on very large corpora, pages 82–94. Dan Shen and Mirella Lapata. 2007. Using se- mantic roles to ... with constraints, including ‘the corresponding BP in- cludes a verb and ‘the argument candidate and the predicate node have a syntactic dependency.’ The extractions are executed based on the...

Ngày tải lên: 20/02/2014, 04:20

... sentiment label for document d k , we wish to maximize the probability of document labels given the documents. We assume documents in the collec- tion and words within a document are i.i.d. samples. By ... θ. We assume words in a document are conditionally independent given the mixture variable θ. We assign a probability to a document d using a joint distribu- tion over the document and θ....

Ngày tải lên: 20/02/2014, 04:20