Báo cáo khoa học: "Automatic Adaptation of Annotation Standards: Chinese Word Segmentation and POS Tagging – A Case Study" potx

... state -of- the-art machine learning systems. Additionally, the intuitive and linguistically motivated rules will allow for manual adaptation of the rule set to new domains and corpora. 1 Motivation Information ... 35.92, and 65.55 for clinical texts, papers, and abstracts respec- tively. Morante and Daelemans have also developed a metalearner for identifying the scope of neg...

Ngày tải lên: 20/02/2014, 04:20

... designed an effective way to automatically learn entailment rules from ex- amples and (b) our approach is highly accurate and exceeds the accuracy of the current state -of- the-art 401 models (Glickman ... on a intra-pair similarity between T and H but also on a cross-pair similarity between two pairs (T  , H  ) and (T  , H  ). The latter similarity measure along with aset...

Ngày tải lên: 20/02/2014, 12:20

... result. Classifier and data sets As a classifier, we chose Naive Bayes with bag -of- words features, because it is one of the most popular one in this task. Negation was processed in a similar way as previous ... keisan-ga yoininaru cost computation- POST become easy It becomes easy to compute cost. kantan-de jikan-ga setsuyakudekiru easy- POST time-POST can save It’s easy and can sav...

Ngày tải lên: 20/02/2014, 12:20

... accuracy, precision, and recall of the system on each test set. We calculated numbers in each A and B column by assuming each anno- tator’s answers separately as a gold standard. In Table ... “preferential treatment given to large groups”, and “they don't offer salads of any kind” are hard to predict. Also, they seem rarely share common keyword features. We first...

Ngày tải lên: 20/02/2014, 12:20

... 2109 Australia NSW 2109 Australia madras@ics.mq.edu.au Abstract In evaluating the output of language tech- nology applications—MT, natural language generation, summarisation—automatic eval- uation ... in applying SVMs here are, first, noting that human translations are generally good and machine translations poor, that binary training data can be created by taking the human translations as...

Ngày tải lên: 20/02/2014, 12:20

... 0.83 With Case Information (Case) Lower Case (NoCase) Lower Case & Stemmed (Stem) With Case Information (Case) Lower Case (NoCase) Lower Case & Stemmed (Stem) Table 1. Pearson’s ρ and Spearman’s ... unigram and bi- gram, i.e. N=2, for the purpose of explanation and call this B LEU-2. Using S1 as the reference and S2 and S3 as the candidate translations, S2 an...

Ngày tải lên: 20/02/2014, 16:20

... collocation. A target word for collocation is called the ‘central word , and a word in a collocation is referred to as the ‘contextual word . ‘Surrounding words’ mean the collocation for all contextual ... noise and trivial collocation. We call this process normalization, and it is specifically provided as [8]. The statistically unrelated words can be said that the w...

Ngày tải lên: 20/02/2014, 16:20

... System configuration Automatic acquisition of technical terms in a cer- tain domain has been studied as automatic term recognition (Kageura and Umino, 1996; Kageura and Koyama, 2000), and the methods ... col- lect technical terms that are related to natural lan- guage processing, such as morphological analysis, parsing, information retrieval, and machine transla- tion. The target a...

Ngày tải lên: 20/02/2014, 16:20

... immediately to the right of a main verb. Adverbs and adverbial phrases (including days and dates) are ignored for the pur- poses of case adjacency. A noun-phrase that sat- isfies the Case Filter ... examples are clear and unambiguous. • Observations made in clear cases generalize to all cases. • It is possible to distinguish the clear cases from the ambiguous ones wit...

Ngày tải lên: 20/02/2014, 21:20

... .58 Table 1: Classification of it by two annotators in a corpus subset. 4 Automatic Classification 4.1 Training and Test Data Generation 4.1.1 Segmentation We extracted all instances of it and the ... shallow feature generation meth- ods could propagate into the model that was learned from the data. The advantage of this ap- proach is, however, that training and test data are ho...

Ngày tải lên: 22/02/2014, 02:20