... Feature VectorThe features used by our system are summarised in Table 4.3. The individual features for anaphor AMachineLearningApproachto German Pronoun Resolution Beata KouchnirDepartment ... rule-based and the machinelearning approach. For the latter, good results have been achievedwith large feature sets (including syntactic, se-mantic, grammatical and morphological informa-tion) ... 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...
... information available in the training corpus andmodelling the task applying an approach similar to the one that has been applied to tasks like semanticrole labeling (Morante et al., 2008) or negationscope ... hasbeen argued that memory-based learning is at anadvantage in solving these highly disjunctive learn-ing problems compared to more eager learning thatabstract from the examples, as the latter ... harmful in language learning. Machine Learning, Special issue on Natural Language Learning, 34:11–41.W. Daelemans, J. Zavrel, K. Van der Sloot, and A. Vanden Bosch. 2007. TiMBL: Tilburg memory basedlearner,...
... evaluations seems more appropriate. Such an approach allows taking into account ina flexible and natural way the variety of knowledge sources and processing activities that are involved in ... less relevant parts in order to obtain the representation of an appropriate summary to be eventually translated into natural language. These last phases (i.e., pruning and generation) are, for ... standpoint, and we propose a procedural, rule-based approachto importance evaluation. This novel approach is supported by a prototype experimental system, called importance evaluator, that can...
... constraints as broadly and un-conditionally applicable hard constraints. Becausesources of linguistic information ina learning- basedsystem are represented as features, we can, in con-trast, incorporate ... mentioned ina doc-ument. Machinelearning approaches to this prob-lem have been reasonably successful, operating pri-marily by recasting the problem as a classificationtask (e.g. Aone and Bennett ... learning algorithms investigated: AGREEMENT, ANIMACY,BINDING, and MAXIMALNP.Discussion. In an attempt to gain additional in- sight into the difference in performance between oursystem and the original Soon...
... (Cohn and La-pata, 2008) expands the operation set by includinginsertion, substitution and reordering, and incorpo-rates grammar rules. In speech domain, (Clarke andLapata, 2008) investigates ... Computational Linguistics A Two-step Approachto Sentence Compression of Spoken UtterancesDong Wang, Xian Qian, Yang LiuThe University of Texas at Dallasdongwang,qx,yangl@hlt.utdallas.eduAbstractThis ... compression in broadcast news using an integer linear programming approach. There is only a few existing work in spon-taneous speech domains. (Liu and Liu, 2010) mod-eled it as a sequence labeling...
... objectives andoperating modelã An incontestable fact base andcost baselineã Ongoing transparency and reportingof cost and benefits linked to financial plansã Clear alignment with existinginvestment ... Strategic operating modelã Platform replacement / consolidationReinvesting tacticalbenefits intotransformationalinitiativesTransformationalTactical=Figure 2: Traditional vs. transformational ... NorthAmerican banks, on the other hand, are stilltargeting inefficiencies in the back office. Segment ManagementBrand ManagementChannel Integration and ManagementMarketing, Sales and ServicingCustomermanagementCustomerpricingProductaggregationProductpricingThird...
... syntax tree accord-ing to their relative position in the target language.The ranking model is automatically trained to min-imize the mis-ordering of tree nodes in the trainingdata. Large scale ... English-Japanese machine translation tasks, and experimental results show thatour approach can bring significant improvements to the baseline phrase-based SMT system in both pre-ordering and integrated ... Lin. 2008. LIBLINEAR: A library for large lin-ear classification. In Journal of MachineLearning Re-search.Michel Galley, Jonathan Graehl, Kevin Knight, DanielMarcu, Steve DeNeefe, Wei Wang,...
... an IAVA can be converted into a query that finds machines in the model that are not in compliance with it. This capability 6 Scaling to large networks can be addressed by adding computing ... CycSecure has proven to be a successful application of AI planning technology ina real-world domain. Logical next steps include applying CycSecure to larger networks and increasing the breadth and ... The Attack Planner enables the user to state plan goals, launch the planner and view the attack plans generated. For example, a user can state the goal “An external user with no initial access...
... Bioengineering, Indian Institute of Technology Bombay,Powai, Mumbai, IndiaCellular regulation is a result of complex interactions arisingfrom DNA–protein and protein–protein binding, autoreg-ulation, and ... mechanisms include thetryptophan and arabinose systems of Escherichia coli andthe phage lambda switch in bacteriophage.The GAL regulatory network in Saccharomyces cerevis-iae is a prototypical ... regulatory proteins Gal4p, Gal80p, Gal3p and activatedGal3p, respec tively. Model I includes sequen tial bin ding of activatedGal3p to DNA-Gal4p–Gal80p. Parameter m represents cooperativityduring...
... possible facets.Another key characteristic of rich domainslike financial analysis, is that facts and events aresubject to interpretation in context. Toa finan-cial analyst, it makes a difference ... were annotated withthe types of financial transactions they are mostrelated to. Paragraphs that did not fall into a category of interest were classified as “other”.The annotated paragraphs ... Maytag: A multi-staged approachto identifyingcomplex events in textual dataConrad Chang, Lisa Ferro, John Gibson, Janet Hitzeman, Suzi Lubar, Justin Palmer,Sean Munson, Marc Vilain, and Benjamin...