Báo cáo khoa học: "A Generalized Vector Space Model for Text Retrieval Based on Semantic Relatedness" pot

... Association for Computational Linguistics A Generalized Vector Space Model for Text Retrieval Based on Semantic Relatedness George Tsatsaronis and Vicky Panagiotopoulou Department of Informatics Athens ... study conducted in three TREC collections reveals that semantic information can boost text retrieval performance with the use of the proposed GVSM. 1 Introductio...

Ngày tải lên: 08/03/2014, 21:20

... probability model is factored into four sub-models that can be further classified into source-side and target- side rule selection models or context -based and context-free selection models. The context -based models ... sub -model is source-side rule se- lection model and the second one is the target-side rule selection model. For the source-side rule selection model, we fur- ther...

Ngày tải lên: 23/03/2014, 16:20

... vectors allows for ef- ficient computation of join operations on the lattice. Join is the central operation any unification -based parser must support. We extend the traditional bit vector encod- ing, ... vectors. For comparison, we also tested a simple lookup table. The same implementation sufficed for all these tests, by means of putting all types in one mod- ule for the non-modul...

Ngày tải lên: 17/03/2014, 00:20

... Bracketing Model for Phrase -Based Translation Deyi Xiong, Min Zhang, Aiti Aw and Haizhou Li Human Language Technology Institute for Infocomm Research 1 Fusionopolis Way, #21-01 South Connexis, ... constrains the phrase “航海 节” to be translated as a unit. Without considering syntactic constraints from the parse tree, the decoder makes wrong decisions not only on phrase movement but...

Ngày tải lên: 20/02/2014, 07:20

... common in spontaneous speech – one study found 30% of dia- logue turns contained repairs (Carletta et al., 1993) and another study found one repair every 4.8 sec- onds (Blackmer and Mitton, 1991). ... and saves more potential exam- ples of fluent speech rules, and therefore potentially makes better use of limited data. 3 Evaluation The evaluation of this system was performed on the Switchboa...

Ngày tải lên: 20/02/2014, 09:20

... plot descriptions at the beginning rather than the end of the text and conclude with overtly opin- ionated statements. 4.2 Incorporating context information The previous section demonstrated the ... detection. We now examine whether context information, particularly regarding sentence proximity, can further improve subjectivity extrac- tion. As discussed in Section 2.2 and 3, con- textual c...

Ngày tải lên: 20/02/2014, 16:20

... in the context of language generation, while we search for the best alignment on the condition that both trees are given. To facilitate the presentation of the tree align- ment model, the ... the ba- sic feature for alignment. (Kay & Roscheisen 1993; and Chen 1993) used lexical information for sentence alignment. Models combining length and lexicon information were proposed...

Ngày tải lên: 08/03/2014, 02:21

... often provides important clues for POS tagging, and the POS tags contain much syntactic information, which need context information within a large window for disambiguation. For example, Huang et al. ... contribution of context information for the disambiguation. A first order Max-Margin Markov Networks model is used to resolve the sequence tagging problem. We use the SVM-HMM 3 imple...

Ngày tải lên: 17/03/2014, 00:20

... 2006). 5.2 Evaluation on Grapheme-to-Phoneme Conversion Morphological segmentation is not of value in itself – the question is whether it can help improve results on an application. Performance improvements ... improvements due to morphological information have been reported for example in MT, information retrieval, and speech recognition. For the latter task, morphological seg- ment...

Ngày tải lên: 17/03/2014, 04:20

... from the conditional model used for induction. Here, we improve on that model in several ways. First, we construct a generative model which utilizes the same features. Then, we extend the model to ... Constituent-Context Model for Improved Grammar Induction Dan Klein and Christopher D. Manning Computer Science Department Stanford University Stanford, CA 94305-9040 {klein, mann...

Ngày tải lên: 17/03/2014, 08:20