... the area of cross-documentcoreference, and is also leading us to investigatevisual ways to define queries that go beyond theparagraph and span many texts over many years.Finally, we are hoping ... exist in an interac-tive environment. Specifically, we classify eachparagraph in our document collection into one ofseveral interested financial areas. Examples in- clude: Accounting Rule Change, ... IJCAI ’99 Workshop on Information Filtering.Lodhi, H., Saunders, C., Shawe-Taylor, J., Cristianini,and N., Watkins, C. 2002. Text classification usingstring kernels. Journal of Machine Learning...
... pronominal andotherwise, has been a popular research area in Natural Language Processing for more than twodecades, with extensive documentation of boththe rule-based and the machinelearning approach. For ... system are summarised in Table 4.3. The individual features for anaphor AMachineLearningApproach to German Pronoun ResolutionBeata KouchnirDepartment of Computational LinguisticsTăubingen ... the an-tecedentdist distance in markablesbetween anaphor and an-tecedent (1 20)same agr same agreement of anaphorand antecedent?same gramrole same grammatical role ofanaphor and antecedent?same...
... embedding ina sentence6. anagram func grammatical function of anaphor7. ananpform form of anaphor8. anaagree person, gender, number9. anacase grammatical case of anaphor10. anas depth ... contained an NP-markable at the current posi-tion and if this markable was not an indefinite nounphrase, it was considered a potential anaphor. In that case, pairs of potentially coreferring ... grammatical case and thedepth of embedding in the syntactical structure. For these features, each instance contains onevalue for the antecedent and one for the anaphor.Coreference-level features,...
... containing 1% CaCl2 for 1 min. The dye incorporated into viable cells was extractedwith 50% ethanol containing 1% acetic acid, and absorb-ance at 540 nm was measured.3462 K. Ishihara et al. ... examined the effects of SA on stress response in mammalian cells using a simple screening system, andrevealed that SA is a potent Hsp inducer in mammaliancells, thereby protecting cells against ... several neurodegenerative disordersincluding Alzheimer’s, polyglutamine and Parkinson’sdisease are though to be caused by an accumulation ofprotein aggregates in the brain [24], and Hsps such asHsp70...
... prize award domain. One of the target relationsin the domain is about a person who obtains a special prize ina cer-tain area ina certain year, namely, a quaternary tuple, see (3). (4) is a ... (6) in a straightforward way. 4.2 Rule Validation: Ranking and Filtering Our ranking strategy has incorporated the ideas proposed by Riloff (1996), Agichtein and Gravano (2000), Yangarber ... Abstract A minimally supervised machinelearning framework is described for extracting rela-tions of various complexity. Bootstrapping starts from a small set of n-ary relation in- stances...
... Brockett.2001. Amachinelearningapproach to the automatic eval-uation of machine translation. In Proceedings of the 39thAnnual Meeting of the Association for Computational Lin-guistics, July.Thorsten ... Gildea. 2005. Syntactic features for evaluation of machine translation. In ACL 2005 Workshopon Intrinsic and Extrinsic Evaluation Measures for Machine Translation and/or Summarization, June.Ding ... Evaluation with MachineLearning A good automatic evaluation metric can be seen as a computational model that captures a human’s de-cision process in making judgments about the ade-quacy and...
... Lundmark M, Cavaco AM, Trevanion S & Hurry V(2006) Carbon partitioning and export in transgenicArabidopsis thaliana with altered capacity for sucrosesynthesis grown at low temperature: a ... gasanalysis system (Uras 3 G; Hartmann & Braun AG, Frank-furt am Main, Germany). A whole-rosette cuvette designwas used as described in [31]. Gas exchange was measured in the growth chamber ... simulation A mathematical model was developed, representing centralcarbohydrate metabolism in leaves of A. thaliana. Themodel was based on the following system of ordinary dif-ferential equations...
... in Computer Science 3230: Ad-vances in Natural Language Processing.Suleiman H. Mustafa, 2004. Character contiguity in N-gram-based word matching: the case for Arabictext searching. Information ... Comparisons withvariant n-gram approaches, which are the leadingapproaches, are performed for verifying the effec-tiveness of our approach. Although LCS approach results in better extraction ... MWE repeats itself constantly in corpus(Taneli,2003).The extraction of MWE plays an important role in several areas, such as machine translation (Pas-cale,1997), information extraction (Kalliopi,2000)etc....
... Korean lan-guage, many researchers have adopted a traditional WS approach, which eliminatesall spaces in the user input and re-insertsproper word boundaries. Unfortunately,such an approach ... methodsignificantly outperforms a state-of-the-artKorean WS model when the user input ini-tially contains less than 10% spacing er-rors, and performs comparably for casescontaining more spacing errors. ... intentional or un-intentional spacingerrors; and even a few spacing errors can causeerror-propagation for further NLP stages. For written languages that have WBMs, such as for the Korean language,...
... sets) asoptimising training data. For each set of trainingdata we extracted a context of an increasing num-ber of tokens (from 10 to 1,000 in increments of 10)both before and ina window4around ... that performance in a given topic is best if the training data is from thesame topic. For example, the Finance-trained SVMclassifier achieved an accuracy of 78.8% against ar-ticles from Finance, ... experi-ments in total.cons dataset was exhausted.It appears possible that more training data will im-prove the performance of the Emoticon-trained clas-sifiers by increasing the coverage. Potential...