Báo cáo khoa học: "Cognitively Motivated Features for Readability Assessment" pot

... use it for evaluation pur- poses (not for training the readability models). 5 Linguistic Features and Readability We now describe the set of features we investi- gated for assessing readability ... Cognitively -Motivated Features Because of the special reading characteristics of our target users, we have designed a set of cogni- tively motivated features to predict...

Ngày tải lên: 08/03/2014, 21:20

... pages 932–940, Columbus, Ohio, USA, June 2008. c 2008 Association for Computational Linguistics Linguistically Motivated Features for Enhanced Back-of-the-Book Indexing Andras Csomai and Rada Mihalcea Department ... test examples. We use a number of features, including information-theoretic features previously used in unsupervised keyword extraction, as well as a novel set of fea...

Ngày tải lên: 08/03/2014, 01:20

... addressed. First, we show how features can be generated for arbitrary head-argument configurations. Affinity features are relatively straightforward, but paraphrase features, which have been hand-developed ... non-local syntactic features used in Huang (2008). Our web- scale features reduce errors for a range of attachment types. Finally, we present an analysis of influential feat...

Ngày tải lên: 20/02/2014, 04:20

... the found set of features for text classification (index- ing) for an OIR query of the first level (finds opin- ionated information) and for an OIR query of the second level (finds opinionated information ... effective kind of features for sentiment polar- 38 ity discrimination (detection) which can be used for OIR 2 . Nie et al. (2000) found that for Chinese IR the most effective...

Ngày tải lên: 20/02/2014, 12:20

... checked for minimality during a second. Since update-node is a general mechanism for adding or modifying information to a node on the basis of c-commanding constituents it is fairly straightforward ... Association for Computational Linguistics: Proceedings of the Conference, Association for Computational Linguistics, Morristown, NJ, pp. 17-24. 271 A COMPUTATIONAL MECHANISM...

Ngày tải lên: 21/02/2014, 20:20

... to build in- formation based services around SMS technology. Today, a majority of SMS based information ser- vices require users to type specific codes to re- trieve information. For example to ... recently allowed users to formulate queries in natural language using SMS. For example, many contact centers now allow cus- tomers to “text” their complaints and requests for information over...

Ngày tải lên: 08/03/2014, 00:20

... application-specific format could be translated directly into the virtual AML, eliminating the need for the intermediary concrete AML format. However, especially for existing formats, it is typically ... by the informed human reader). Hand-developed annotation schemes used in treebanks are often described informally in guidebooks for annotators, leaving considerable room for variation...

Ngày tải lên: 08/03/2014, 05:20

... world changes. For example, Diekema et al., in a presentation at the 1998 TREC-7 conference (Voorhees and Har- man, 1998), observed that the performance of their cross-language information retrieval ... (Dunning, 1994). Although this does introduce a need for language-specific training data for the two languages under consideration, it is a very mild form of language dependence:...

Ngày tải lên: 08/03/2014, 06:20

... these features to the decision classes. The importance of SRL is also indicated by the analysis of the contribution of individual features to the overall performance. Table 6 shows the per- formance ... pronouns and common nouns. On the other hand, SRL information has a limited or even worsening effect on the performance on proper names, where features such as string matching and alias...

Ngày tải lên: 08/03/2014, 21:20

... document?” (Blitzer, 2008). Pivot features are the key ingredient for SCL, and they should align well with the NLP task. For PoS tagging and Sentiment Analysis, features on the word level are intuitively ... rules (r1,r2 features) , dependency relations (dep), PoS tags (f1,f2), syntactic features (s1), precedence (mf), bilexical preferences (z), apposition (appos) and further feat...

Ngày tải lên: 08/03/2014, 21:20