Báo cáo khoa học: "Semantic enrichment of journal articles using chemical named entity recognition" pptx

... Proceedings of the ACL 2007 Demo and Poster Sessions, pages 45–48,Prague, June 2007.c2007 Association for Computational LinguisticsSemantic enrichment of journal articles using chemical named entity recognitionColin ... 1EWptc24@cam.ac.ukAbstractWe describe the semantic enrichment of journal articles with chemical structures and biomedi-cal ontology terms using Oscar, a program for chemical named entity recognition (NER). Wedescribe ... semantic enrichment of journal articles as part of a publishingworkﬂow, speciﬁcally chemical structures and biomedi-cal terms. In the Motivation section, we introduce Oscaras a system for chemical...

Tài liệu Báo cáo khoa học: "Semantic Classification of Noun Phrases Using Web Counts and Learning Algorithms" ppt

... Over the set of 5 semantic rela-tions defined by Nastase and Szpakowicz (2003), they achieve an accuracy of 45.7% for the task of assigning one of 5 semantic relations to each of the 600 modifier-noun ... conditions, and again using all of the joining terms produced the best results. The SVM algorithm produced the best accuracy of all, achieving 50.1% accuracy using the com-bined set of joining terms. ... accuracy of 45.7%, where we achieve a maximum accuracy of 38.1% on this dataset using a nearest neighbor algorithm. However, their tech-nique uses the cosine of the angle between the vec-tors of...

Báo cáo khoa học: "Semantic Types of Some Generic Relation Arguments: Detection and Evaluation" pptx

... EvaluationSophia KatrenkoInstitute of InformaticsUniversity of Amsterdamthe Netherlandskatrenko@science.uva.nlPieter AdriaansInstitute of InformaticsUniversity of Amsterdamthe Netherlandspietera@science.uva.nlAbstractThis ... 7 binaryrelations from the training set of the SemEval-2007competition, all deﬁnitions of which share the re-quirement of the syntactic closeness of the argu-ments. Further, their deﬁnitions ... is an entity and Y is an actor or an activity.Product-Producer(X,Y) X is a product of Y , or Yproduces X, where X is any abstract or concrete object.Origin -Entity( X,Y) X is the origin of Y...

Báo cáo khoa học: "Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition" ppt

... enough sample of prior data (measured as M,the number of subtrees below the current node) onwhich to form a reliable estimate of the mean andvariance of each feature or class of features. Forexample, ... class of similar hierarchi-cal priors, smoothed to varying degrees, andlay the groundwork for future exploration inthis area.1 Introduction1.1 Problem deﬁnitionConsider the task of named entity ... and test articles written by the same author tohaving them written in the same language. Havingsuccessfully trained a named entity classiﬁer on thisnews data, now consider the problem of learning...

Báo cáo khoa học: "Hierarchical Joint Learning: Improving Joint Parsing and Named Entity Recognition with Non-Jointly Labeled Data" potx

... composed of threeseparate models, one for just named entity recog-nition, one for just parsing, and one for joint pars-ing and named entity recognition. In this sectionwe will review each of these ... separate parse and named entity models give conﬂicting output. entity models trained on larger corpora, annotatedwith only one type of information.This paper addresses the problem of how tolearn ... lack of jointly annotated data. We builta joint model of parsing and named entity recog-nition (Finkel and Manning, 2009b), which hadsmall gains on parse performance and moderategains on named...

Báo cáo khoa học: "Semantic Tagging of Web Search Queries" ppt

... the purpose of automatic tagging of the queries. We will define a set of probabilistic context-free rules, which generates bags (i.e. multi-sets) of words. Us-ing this new type of rule in ... the design and implementation of a parser for this kind of grammar. Section 5 gives an example of such a grammar designed for the purpose of automatic tagging of queries. Section 6 discusses ... CFSG 865We mentioned that one of the motivations of parsing search queries is to have a deeper under-standing of the structure of the query. The evaluation of such a deep model, however,...

Báo cáo khoa học: "Semantic Analysis of Japanese Noun Phrases: A New Approach to Dictionary-Based Understanding" doc

... good result both of DBA and SBA. The precision of DBA, the ratio of correct analyses to detected anal- yses, was 77% (=137/(137+19+21)); the re- call of DBA, the ratio of correct analyses ... information of nouns in an ordinary dictio- nary. 2 Semantic Roles of Nouns The meaning of a word can be recognized by the relationship with its semantic roles. In the case of verbs, the ... Interpretation of N1 no N2 using a Dictionary Semantic-role information of nouns in an ordi- nary dictionary can be utilized to solve the dif- ficult problem in the semantic analysis of N1 1Although...

Báo cáo khoa học: "Semantic Transliteration of Personal Names" docx

... decision of gender had led to deterioration in MRR performance of the male names compared to the case where no prior information was assumed. Soft decision of gender yielded further gains of 17.1% ... accuracies (%) using a 4-gram language model for the letter sequence of the source name in Latin script. Table 5 summarizes the gender detection accura-cies using Eq. (11) assuming language of origin ... compares the MRR performance of the semantic transliteration systems with different prior information, using bigram language models. Soft decision refers to the incorporation of the lan-guage model...

Báo cáo khoa học: "Semantic Representation of Negation Using Focus Detection" pptx

... degrees of factuality for events.None of the above references aim at detecting orannotating the focus of negation in natural language.Neither do they aim at carefully representing themeaning of ... representing the se-mantics of negation by revealing implicit positivemeaning. The main contributions are: (1) interpre-tation of negation using focus detection; (2) focus of negation annotation ... representation of the afﬁrmative counterpartafter applying the pseudo-relation NOT over the fo-cus of the negation. This fact justiﬁes and motivatesthe detection of the focus of negation.4.2...

Báo cáo khoa học: "Supersense Tagging of Unknown Nouns using Semantic Similarity" pot

... num-ber of contexts are large enough to ensure it is reliable.We have experimented with a wide range of cutoffs andthe best performance on the 1.6 test set was achieved us-ing a minimum cutoff of ... Previous WorkA considerable amount of research addresses structurallyand statistically manipulating the hierarchy of WORD-NET and the construction of new wordnets using the con-cept structure from ... common inWSD and named entity recognition systems. Their insightwas to use the WORDNET glosses as annotated trainingdata and massively increase the number of training in-stances using the noun...

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