... extraction of terminological noun phrases. In Proceedings of COLING'92, pages 977-981, Nantes, France. Mark Dras. 1997. Representing paraphrases us- ing synchronous tree adjoining grammars. In ... terminologist in the construction of a structured terminology (cf. figure 1) pro- viding : • terms of a domain, i.e. simple or com- plex lexical units pointing out accurate con- cepts in ... d'investissement de la ligne (cost of investissement of the line) d6clenchement de la ligne 9 (tripping of the line) E longueur de la ligne (size of the line) puissance caract@ristique...
... including the number of documents, annotated CEs, coreference chains, annotatedCEs per chain (average), and number ofdocumentsin thetrain/test split. We use st to indicate a standard train/test ... outline the differences between theMUC and ACE coreferenceresolution tasks, anddefine terminology for the rest of the paper.Noun phrase coreferenceresolution is the pro-cess of determining ... runs using anoptimal threshold (box 3) for the experiment as de-termined by using the test set. In all remaining ex-periments, we learn the threshold from the trainingset as in the BASELINE...
... given in Fig.1. In Fig.l, verbs associated are limited to a few ones such as Do (obJ = musical instrument)~ Pla~ (obJ = musical instrument). Becsuse, from the definition of musical instrument ... (1) Find a pair of verb and associated transla- tion equivalent (Do, Play : ~9-& ) that can be associated in common to a part of the structure of the categories as in Fig.l, and then find ... nouns belonging to nearby categories in the given concepts structure and find a nouns group to which we associate the translation equivalent. In this manner, we can find pairs of verb and...
... human beings. We no longer are dealing withFisher’s dierent strains of seeds, strewn on diering kinds of soil in a randomized trial. Wenow have human beings, not seeds, and the resulting clinical ... baseline manic-switch rate of about5% over two months of observation, and further assume that the minimal “clinically” relevantdierencetobedetectedisadoublingofalleventsata10%rateinthelamotriginegroup,the ... conrmatory, of anyhypothesis). Clinical example: olanzapine prophylaxis of bipolar disorder In an RCT of olanzapine added to standard mood stabilizers (divalproex or lithium) forprevention of mood...
... the training data to measure the impact of each of the four subsets of features explained in Section 3. Ta-ble 3 shows the cross validation results when cu-mulatively adding each set of features. ... Stages ofClinical In- formation Extraction: the State of the Art at i2b2 2010. J Am Med Inform Assoc. Chih-Chung Chang and Chih-Jen Lin, LIBSVM: a Li-brary for Support Vector Machines, 2001. ... Syntactic Features: Part -of- speech tags of the three words preceding the medical term and the three words following it. 312create one classifier for each type of label using instances with that...
... pruning for machine learning of coreference rules. In Proc. of EMNLP, pages 55–62.V. Ng and C. Cardie. 2002b. Improving machine learn-ing approaches to coreference resolution. In Proc. of the ... knowledge mining for coreference resolution. In Proc. of NAACL, pages 55–62.R. Iida, K. Inui, H. Takamura, and Y. Matsumoto. 2003.Incorporating contextual cues in trainable models for coreference resolution. ... applications. In Proc. of the ACL.C. M¨uller, S. Rapp, and M. Strube. 2002. Applying co-training to reference resolution. In Proc. of the ACL,pages 352–359.V. Ng and C. Cardie. 2002a. Combining sample...
... YangDepartment of Electrical EngineeringUniversity of Washin g tonSeattle, WA, USAyangmei@ee.washington.eduKatrin KirchhoffDepartment of Electrical EngineeringUniversity of Washin g tonSeattle, ... cross-language information re-trieval. More recently, (Xi and Hwa, 2005) haveused backoff models for combining in- domain and42Phrase-Based Backoff Models for Machine Translation of Highly In ectedLanguagesMei ... off” to the more gen-eral distribution. Backoff models have been used in a variety of ways in natural language process-ing, most notably in statistical language modeling. In language modeling,...
... an-nealing. We also found sampling the T , G, and Nvariables to be particularly inefficient, so instead wemaintain soft counts over each of these variables anduse these in place of a hard sampling ... document train/test split. Train-ing our system on all 60 documentsof the trainingand test set (as this is in an unsupervised system,the unlabeled test documents are present at train-ing time), ... effectiveness of this factby evaluating on the MUC-6 test documents with in- creasing amounts of unannotated training data. Wefirst added the 191 documents from the MUC-6dryrun training set (which...
... already in- 1023Query No. User input1 something inhibit ERK22 something trigger diabetes3 adiponectin increase something4 TNF activate IL65 dystrophin cause disease6 macrophage induce something7 ... forsemantic annotations3.2 On-line processingThe off-line processing described above results in much simpler on-line processing. User input isconverted into queries of the extended region al-gebra, ... straightforward way in orderto improve accuracy. Document ranking is usefulfor the readability of retrieved results. IE systemscan be applied off-line, in the manner of the deepparser in our system,...
... gains might be obtained by further investi-gating the interaction between training instance se-lection, feature selection, and the coreference clus-tering algorithm.4 NP Coreference Using ... Proceedings of the 40th Annual Meeting of the Association forregarding coreference. Specifically, we increase thenumber of lexical features to nine to allow morecomplex NP string matching operations. ... their method for creating coreference chains,which is explained next.Applying the classifier to create coreference chains. After training, the decision tree is used bya clustering algorithm to impose...
... give, in Chapter 13 (“Prevention of Cigarette Smoking”), anoverview of the prevention of cigarette smoking, which is of great importancefor mental health professionals in light of the astonishingly ... controlled trials of preventive interventions by prevention scientists)to clinical practice (i.e., routine, everyday, individual-level clinical care).Prevention-minded clinical practice may ... effects outside of the clinical setting. Mental health professionals can have an influential role in these diverseprevention activities outside of the clinical practice setting. Providers cansupport...