... how to choose the best perform-ing ensemble of knowledgesources so as to facili-tate automatic selection of knowledgesources to beincluded.AcknowledgementThis work was supported by the EU ... 1016–1023,Prague, Czech Republic, June 2007.c2007 Association for Computational Linguistics Combining MultipleKnowledgeSources for Dialogue Segmentation inMultimedia ArchivesPei-Yun HsuehSchool of ... the benefits of includ-ing additional knowledgesources for recognizingsegment boundaries. The next question to be ad-dressed is what features in these sources are mostuseful for recognition....
... Susan W. McRoy 1992. Using multipleknowledge sources for word sense discrimination. Computa- tional Linguistics, 18(1):1-30. 46 Integrating MultipleKnowledgeSources to Disambiguate Word ... pointed out that a diverse set of knowledgesources are important to achieve WSD, but no quantitative evaluation was given on the relative importance of each knowledge source. No previous work ... work on WSD, such as (Kelly and Stone, 1975; Hirst, 1987) used hand-coding of knowledge to per- form WSD. The knowledge acquisition process is la- borious. In contrast, LEXAS learns from tagged...
... (that), en2 = (is, not), en3 = (and), en4= (.)} and 155Improved Lexical Alignment by CombiningMultiple ReifiedAlignmentsDan Tufiú Institute for Artificial Intelligence 13, “13 Septembrie”, ... implemented in our second word aligner, called MEBA, described in section 4. It is a multiple parameter and multiple step algo-rithm using relevance thresholds specific to each parameter, but ... Joel Martin, Rada Mihalcea, Ted Pedersen. 2005. Word Alignment for Languages with Scarce Re- sources. In Proceeding of the ACL2005 Workshop on “Building and Using Parallel Corpora: Data-driven...
... of T , tjis the j-th word of T.4 Exploiting Multiple ResourcesThis section describes the extraction of phrasalparaphrases using various resources. Similar toPharaoh (Koehn, 2004), our decoder3uses ... 1021–1029,Columbus, Ohio, USA, June 2008.c2008 Association for Computational Linguistics Combining Multiple Resources to Improve SMT-based Paraphrasing Model∗Shiqi Zhao1, Cheng Niu2, Ming Zhou2, ... para-phrase generation.In this paper, we exploit multiple resources toimprove the SMT-based paraphrase generation. Indetail, six kinds of resources are utilized, includ-ing: (1) an automatically...
... linguistic knowl-edge sources mentioned above, achieves a 10-foldcross-validation accuracy of 90.5% and 86.1% onPang et al.’s dataset and ours, respectively. To our knowledge, our result on ... July 2006.c2006 Association for Computational LinguisticsExamining the Role of Linguistic KnowledgeSources in the AutomaticIdentification and Classification of ReviewsVincent Ng and Sajib ... using only unigrams as features. Wethen examine the role of four types of sim-ple linguistic knowledgesources in a po-larity classification system.1 IntroductionSentiment analysis involves the...
... com- bination of knowledge sources. The voting system provided 59% correct disambiguation, at identify- ing the first of the possible senses, which is little more than each knowledge source ... tagging in action: Combining different tests with additive weights. In Proceedings of the SIGLEX Workshop 1401 Word Sense Disambiguation using Optimised Combinations of Knowledge Sources Yorick ... which performs word sense disambiguation on all content words in free text by combining different knowledge sources: semantic preferences, dictionary definitions and sub- ject/domain codes...
... grammar. By providing separate representation schemes for linguistic knowledge, general world knowledge, and application domain knowledge, DATALOG achieves a high degree of portability and extendability. ... Figure 3. Interpretation of "the tallest female employee". 58 Interaction of KnowledgeSources in a Portable Natural Language Interface Carole D. Hafner Computer Science Department ... grammar" [9]. Domain knowledge is rep- resented in a semantic network, which encodes the conceptual structure of the user's database. These two levels of knowledge representation...
... Retrieval(SIGIR'93), 69-78.D. R. Radev and K. McKeown. 1998. “GeneratingNatural Language Summaries from Multiple On-Line Sources . Computational Linguistics 24(3):469-500.H. Saggion and G. Lapalme. 2000. ... anincident. In addition, we also extract sententialProducing Biographical Summaries: Combining Linguistic Knowledge with Corpus Statistics1Barry SchiffmanColumbia University1214 Amsterdam ... reports in a collection. We usecorpus statistics from a background corpus alongwith linguistic knowledge to select and mergedescriptions from a document collection,removing redundant descriptions....
... [ Team LiB ] Recipe 3.6 Combining Data in Tables from Heterogeneous Data Sources Problem You want to create a report that is based on data from ... joined to the Order information. The C# code is shown in Example 3-6. Example 3-6. File: CombiningDataFromMultipleDatabasesForm.cs // Namespaces, variables, and constants using System; using...
... the remainder of the experi-ments described in the paper.5.3 CombiningMultiple Sources Figure 2 shows the effect of combining multiple source domains to build a sentiment classifier forthe ... classifier using a sin-gle source domain, we leverage data from multiple source domains to learn a robust classifier that gen-eralizes across multiple domains. Our contributionscan be summarized as ... domain giv-ing (400 + 400) × 2 = 1600. This enables us toperform a fair evaluation when combining multiple source domains. The evaluation metric is classifica-tion accuracy on a target domain,...
... pages 882–889,Sydney, July 2006.c2006 Association for Computational Linguistics Combining Statistical and Knowledge- based Spoken Language Understanding in Conditional Models Ye-Yi Wang, Alex ... introduced (Wang, Deng et al., 2005). It integrates a knowledge- based approach into a statistical learning framework, utilizing prior knowledge to compensate for the dearth of training data. ... large research labs. A generative HMM/CFG composite model, which integrates easy-to-obtain domain knowledge into a data-driven statistical learning framework, has previously been introduced to...
... Sweden, 11-16 July 2010.c2010 Association for Computational Linguistics Combining Orthogonal Monolingual and Multilingual Sources ofEvidence for All Words WSDWeiwei GuoComputer Science DepartmentColumbia ... some computational lexical resource.Our work hinges upon combining two high qual-ity WSD systems that rely on essentially differ-ent sources of evidence. The two WSD systemsare a monolingual ... approachis unsupervised, namely it does not rely on trainingdata from the onset. We show that by combining both sources of evidence, our approach yields thehighest performance for an unsupervised systemto...
... information sources, merg-ing information from many sources to improve thequality of the annotation database, and combining database queries with direct access to multimediafragments.AcknowledgementsMUMS ... mul-timedia and multi-lingual information sources inDutch, English, and German, merging informa-tion from many sources to improve indexing qual-ity, and combining database queries with direct ... Event-coreference across Multiple, Multi-lingual Sources in the MumisProjectHoracio Saggion* and Jan Kuper**Hamish Cunningham* and...