Báo cáo khoa học: "Exploiting Morphology in Turkish Named Entity Recognition System" pptx

... morphological information isnot helpful in NER tasks. Morphemes in Turkish words are giving the necessary syntactic meaning tothe word which may not be useful in named entity ﬁnding. Another ... Proceedings of the ACL-HLT 2011 Student Session, pages 105–110,Portland, OR, USA 19-24 June 2011.c2011 Association for Computational LinguisticsExploiting Morphology in Turkish Named Entity Recognition ... Cucerzan and David Yarowski. 1999. Languageindependent named entity recognition combining mor-phological and contextual evidence. In Proceedings ofthe Joint SIGDAT Conference on EMNLP and VLC,pages...

Báo cáo khoa học: "A Framework for Unifying Named Entity Recognition and Disambiguation Extraction Tools" pot

... generally organized as pipelines, usingdedicated APIs and different taxonomy forextracting, classifying and disambiguating named entities. Integrating one of theseservices in a particular application ... Franceraphael.troncy@eurecom.frAbstract Named Entity Extraction is a mature task in the NLP ﬁeld that has yielded numerousservices gaining popularity in the Seman-tic Web community for extracting knowl-edge from ... Computational LinguisticsNERD: A Framework for Unifying Named Entity Recognition and Disambiguation Extraction ToolsGiuseppe RizzoEURECOM / Sophia Antipolis, FrancePolitecnico di Torino / Turin, Italygiuseppe.rizzo@eurecom.frRapha¨el...

Tài liệu Báo cáo khoa học: "Exploiting Readymades in Linguistic Creativity: A System Demonstration of the Jigsaw Bard" docx

... texts: large corpora becomerich hunting grounds for investors in linguistic ob-jets trouvés.This proposal is demonstrated in computa-tional form in the following sections. We showhow a rich ... ADJ1 and ADJ2 to be mutu-ally reinforcing properties, since they can be seento work together as a single complex property in asingle comparison. Thus, using the full comple-ment of adjectival ... responsibility to be “scrupu-lous” in their use of language by “simply throwing[their] mind open and letting the ready-madephrases come crowding in . For Orwell, words justget in the way, and should be...

Tài liệu Báo cáo khoa học: "Lexical Morphology in Machine Translation: a Feasibility Study" potx

... done in NLP research (section 3). We then explain why implementing morphology in the context of ma-chine translation (MT) is a real challenge and what kind of aspects need to be taken into ... im-plementation. In the project presented in this pa-per, we propose to implement lexical morphol-ogy phenomena in MT. 3 Related work Implementing lexical morphology in a MT con-text has seldom been investigated ... particularly useful in a bilingual context for rules that have more than one prefix in both languages: more than one affix can be declared in one single rule, the selection being made according to different...

Tài liệu Báo cáo khoa học: "Exploiting Non-local Features for Spoken Language Understanding" pptx

... training and testing tasks. Fur-thermore, this assumption leads us to faster train-ing in the inducing procedure because we can onlyconsider additional trigger features.Now, we start the inducing ... to exploit non-local information in the nextsection.3 Incorporating Non-local Information3.1 Using Trigger FeaturesTo exploit non-local information to sequential la-beling for a statistical ... Dependency in SpokenLanguage Understanding In most sequential supervised learning prob-lems including SLU, the feature functionfk(yt−1, yt, xt, t) indicates only local information413for...

Tài liệu Báo cáo khoa học: "Contrastive accent in a data-to-speech system" doc

... pointed out in (Gardent et al., 1996), is that a HOU algorithm can take world know- ledge into account, which is sometimes necessary for determining contrast. For instance, the contrast in ... knowledge that kicking the ball into the wrong goal implies scoring a goal for the opposing team. In a HOU approach, the contrast in this example might be predicted by unifying the representation ... contrastive information is not taken into account, as shown in example (1). t (1) a Ill the 16th minute, the Ajax player Kluivert kicked the ball into the wrong goal. b Ten minutes later,...

Tài liệu Báo cáo khoa học: "Syntax-based Semi-Supervised Named Entity Tagging Behrang Mohit" ppt

... training examples were a combination of the labeled and unlabeled data. In their studies, 57Collins and Singer compared several learning models using this style of semi-supervised training. ... degradation in accuracy on unfamiliar test cases is low, suggesting that the trained classifier generalizes well. 1 Introduction Named entity (NE) tagging is the task of recogniz-ing and classifying ... there were increasing interests in semi-supervised learning approaches. Most relevant to our study, Collins and Singer (1999) showed that a NE Classifier can be devel-oped by bootstrapping from...

Tài liệu Báo cáo khoa học: "A Bootstrapping Approach to Named Entity Classification Using Successive Learners" pdf

... demonstrates intuitive support for tagging user-defined NE types. The differences of this approach from the co-training-based NE bootstrapping are also discussed. 1 Introduction Named Entity (NE) ... constructed in section 4. During the training, each sample string sequence is regarded as an independent sentence. The training process is similar to (Bikel 1997). The HMM is defined as follows: ... NE. We used the same blind testing corpus of 300,000 words containing 20,000 PER, LOC and ORG instances that were truthed in- house originally for benchmarking the existing supervised NE tagger...

Báo cáo khoa học: "Active Sample Selection for Named Entity Transliteration" pptx

... repeating patterns in the datawhich are used to focus the training process by as-signing weights to features corresponding to the ob-served patterns. Finally, a linear model is trained us-ing ... pairing a NE in the source language with its counterpart in the tar-get language is then used. Negative training samplesare generated by reshufﬂing the terms in these pairs.Once the training ... decomposed into a set of sub-strings of up to a given length (including the emptystring). Features are generated by pairing substringsfrom the two sets whose relative positions in theoriginal words...

Tài liệu Báo cáo khoa học: Exploiting Social Information in Grounded Language Learning via Grammatical Reductions"" docx

... generalisationshere. The main challenge in this reduction is ﬁndinga way of expressing the non-linguistic informationas part of the strings that serve as the grammatical in- ference procedure’s input. Here ... child is looking atchild.hands objects child is touchingmom.eyes objects care-giver is looking atmom.hands objects care-giver is touchingmom.point objects care-giver is pointing toFigure ... cuesinto account.2 Reducing grounded learning with socialcues to grammatical inferenceThis section explains how we reduce ground learn-ing problems with social cues to grammatical in- ference...

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