Tài liệu Báo cáo khoa học: "Learning Event Durations from Event Descriptions" docx

Tài liệu Báo cáo khoa học: "Learning Event Durations from Event Descriptions" docx

Tài liệu Báo cáo khoa học: "Learning Event Durations from Event Descriptions" docx

... more fine-grained event duration in- formation, viz., the most likely temporal units of event durations (cf. (Rieger 1974)’s ORDER- HOURS , ORDERDAYS). For each original event annotation, ... learning event durations. 3.1 Local Context For a given event, the local context features in- clude a window of n tokens to its left and n to- kens to its right, as well as the event i...
Ngày tải lên : 20/02/2014, 12:20
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Tài liệu Báo cáo khoa học: "Learning to Translate with Multiple Objectives" doc

Tài liệu Báo cáo khoa học: "Learning to Translate with Multiple Objectives" doc

... M(h)): remove h from L 6: else if (M(h)  M(h ∗ )): remove h from L; set h ∗ = h 7: end for 8: Add h ∗ to Frontier Set F 9: for each h in L do 10: if (M(h ∗ )  M(h)): remove h from L 11: end ... here; testset trends are similar but not included due to space constraints. 7 5 from www.kecl.ntt.co.jp/icl/lirg/ribes 6 from www.umd.edu/ ˜ snover/tercom 7 An aside: For comparing optimiza...
Ngày tải lên : 19/02/2014, 19:20
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Tài liệu Báo cáo khoa học: "Learning Syntactic Verb Frames Using Graphical Models" doc

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

... illustrate how our feature sets are extracted from CONLL- formatted data (Nivre et al., 2007). The CONLL format is a common language for comparing output from dependency parsers: each lexical item ... from the VALEX lexicon’s data set, which was used in previous studies (Sun and Korho- nen, 2009; Preiss et al., 2007) and facilitates com- parison with that resource. This data set is draw...
Ngày tải lên : 19/02/2014, 19:20
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Tài liệu Báo cáo khoa học: "Learning to Find Translations and Transliterations on the Web" doc

Tài liệu Báo cáo khoa học: "Learning to Find Translations and Transliterations on the Web" doc

... through language links for training and testing. We obtained a total of 155,310 article pairs, from which we then randomly selected 13,150 and 2,181 titles as seeds to obtain the training and ... 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 in both...
Ngày tải lên : 19/02/2014, 19:20
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Tài liệu Báo cáo khoa học: "Learning the Latent Semantics of a Concept from its Definition" pptx

Tài liệu Báo cáo khoa học: "Learning the Latent Semantics of a Concept from its Definition" pptx

... 2012. c 2012 Association for Computational Linguistics Learning the Latent Semantics of a Concept from its Definition Weiwei Guo Department of Computer Science, Columbia University, New York, NY, ... discover more overlapping words. How- ever, exact word matching is lossy. Below are two definitions from WN: bank#n#1: a financial institution that accepts deposits and channels the money into...
Ngày tải lên : 19/02/2014, 19:20
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Tài liệu Báo cáo khoa học: "Learning to Follow Navigational Directions" pdf

Tài liệu Báo cáo khoa học: "Learning to Follow Navigational Directions" pdf

... follows closely from their work. Their approach can incorpo- rate expert supervision into the reward function in a similar manner to this paper, but is also able to learn effectively from environment ... direc- tions. Where traditional models learn from linguistic annotation or word distri- butions, our approach is grounded in the world, learning by apprenticeship from routes through...
Ngày tải lên : 20/02/2014, 04:20
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Tài liệu Báo cáo khoa học: "Learning Word-Class Lattices for Definition and Hypernym Extraction" doc

Tài liệu Báo cáo khoa học: "Learning Word-Class Lattices for Definition and Hypernym Extraction" doc

... taxo- nomic relation (term pairs are taken from Word- Net (Miller et al., 1990)); then they parse the sen- tences, and automatically extract patterns from the parse trees. Finally, they train ... of word lattices that we use to model tex- tual definitions. Lattices are learned from a dataset of definitions from Wikipedia. Our method is applied to the task of def- inition and hypernym ex...
Ngày tải lên : 20/02/2014, 04:20
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Tài liệu Báo cáo khoa học: "Learning Word Vectors for Sentiment Analysis" ppt

Tài liệu Báo cáo khoa học: "Learning Word Vectors for Sentiment Analysis" ppt

... dataset of Pang and Lee (2004), which contains subjective sentences from movie review summaries and objec- tive sentences from movie plot summaries. This task 2 Dataset and further details are ... imbalance in ratings present in review collections. This weighting prevents the overall distribution of document ratings from affect- ing the estimate of document ratings in which a par- ticul...
Ngày tải lên : 20/02/2014, 04:20
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Tài liệu Báo cáo khoa học: "Learning Hierarchical Translation Structure with Linguistic Annotations" ppt

Tài liệu Báo cáo khoa học: "Learning Hierarchical Translation Structure with Linguistic Annotations" ppt

... phrase. 3.2 Grammar Extraction From every word-aligned sentence-pair and its la- bel chart, we extract SCFG rules as those of Figure 2. Binary rules are extracted from adjoining syn- chronous spans ... and Chinese as tar- get. The data for the first three language pairs are derived from parliament proceedings sourced from the Europarl corpus (Koehn, 2005), with WMT- 07 development and...
Ngày tải lên : 20/02/2014, 04:20
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Tài liệu Báo cáo khoa học: "Learning Sub-Word Units for Open Vocabulary Speech Recognition" doc

Tài liệu Báo cáo khoa học: "Learning Sub-Word Units for Open Vocabulary Speech Recognition" doc

... the OOV detector training set is different from the LVCSR training set. We also use a hybrid LVCSR system, combin- ing word and sub-word units obtained from ei- ther our approach or a state-of-the-art ... lexicon includes resulting sub-words – ranging from unigrams to 5- gram phones, and the 83K word lexicon. 5.3 Evaluation We obtain confusion networks from both the word and hybrid LV...
Ngày tải lên : 20/02/2014, 04:20
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