By Jan Hajič (auth.), Hrafn Loftsson, Eiríkur Rögnvaldsson, Sigrún Helgadóttir (eds.)
This e-book constitutes the complaints of the seventh foreign convention on Advances in typical Language Processing held in Reykjavik, Iceland, in August 2010.
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Additional resources for Advances in Natural Language Processing: 7th International Conference on NLP, IceTAL 2010, Reykjavik, Iceland, August 16-18, 2010
All of them tend to obtain better results with the second text and tend to create easy items. The results of item discrimination take into account the responses of the high-scoring and low-scoring students. The high-scoring group is the top 1/3 of the class, and the low-scoring group comprises students with test scores in the bottom 1/3 of the class. Regarding item discrimination, the corrected pointbiserial index with its standard deviation as well as the percentage of items with negative values are shown in the table.
Three kind of features were used: – The root or lemma of the word. – Word related features: the highly informative features described above. They consist of a large set of binary features indicating if the word belongs or not to a speciﬁc subdictionary. For example, if the word beautiful appears in the nouns, adjectives and compliments dictionaries, the corresponding binary features are set to true. This implies that the word can be classiﬁed as noun, adjective or as the semantic tag compliments.
CRFs natively promote information ﬂow through the graph, however performance improvements were experienced using this kind of features. 5 Experimental Results As previously explained, only in-domain sentences were used to train the model, but both in-domain and out-of-domain sentences were used to test. For the outof-domain inputs, the model is expected to choose a correct syntactic parse tree Reranking Parsing Results Using CRFs 23 which includes all the relevant terms in the sentence. The presence of the main concepts in the syntactic tree is a key factor since the ECA will use them to search in the host web page.
Advances in Natural Language Processing: 7th International Conference on NLP, IceTAL 2010, Reykjavik, Iceland, August 16-18, 2010 by Jan Hajič (auth.), Hrafn Loftsson, Eiríkur Rögnvaldsson, Sigrún Helgadóttir (eds.)