... the next step and explore two algorithms for ontologizing binary semantic relations into WordNet and we present empirical results on the task of attaching part-of and causa-tion relations. Formally, ... verb relations. These relations, such as (x, EXPAND, y) are first automatically learnt from a corpus. The semantic classes of x and y are then inferred using concep-tual density (Agirre and ... ontologize semantic resources without fully disambiguating text. 3 OntologizingSemanticRelations Given an instance (x, r, y) of a binary relation r between terms x and y, the ontologizing...
... domain-specific textbook and on a larger corpus of general news, and have extracted sev-eral standard and specific semantic relations: is-a, part-of, succession, reaction, and production. Espresso ... In Proceedings of SemaNet’ 02: Building and Using Semantic Networks, Taipei, Taiwan. Pantel, P. and Ravichandran, D. 2004. Automatically labeling semantic classes. In Proceedings of HLT/NAACL-04. ... al. 2004), is-a (Ravi-chandran and Hovy 2002), part-of (Girju et al. 2006), and other relations. The following desiderata outline the properties of an ideal relation harvesting algorithm: •...
... 1998), syntactic dependencies (Pantel and Ravichandran, 2004), and lexico-syntactic pat-terns (Riloff and Jones, 1999; Fleischman and Hovy, 2002; Thelen and Riloff, 2002).When research focuses ... “dress” and “person” relations, wherethe targeted arguments are adjectives, and the supertypes arenouns.5 Semantic Relations So far, we have described the mechanism thatlearns from one seed and ... #iterX and Y work for Z Charlie 2949 3396 20X and Y fly to Z EasyJet 772 1176 19X and Y go to Z Rita 18406 27721 13X and Y work in Z John 4142 4918 13X and Y work on Z Mary 4126 5186 7X and...
... heuristic draws on semantic rela- tions extracted from a Webster's dictionary and the semantic thesaurus WordNet. For a given word, all applicable heuristics are tried, and those senses ... use semantic rela- tions (like A-KIND-OF) from the dictionary and WordNet to match queries to text. Since semantic rela- tions are attached to particular word senses in the dictio- nary and ... Pedersen, and Penelope Sibun. 1992. "A Practical Part-of-Speech Tagger," in Proceedings of the Third Conference on Applied NLP. 7. Dolan, William B., Lucy Vanderwende, and Richard-...
... methods of Kim and Baldwin (2005) and Girju et al. (2005), and thedistributional model of´O S´eaghdha and Copes-take (2008). The idea of using relational similar-ity to understand compounds ... reasoning, and he applies his PairClass algorithm to a numberof problems including SAT verbal analogy tests,synonym/antonym classification and distinctionbetween semantically similar and semantically ... frequently holds between bears and forests.If the contexts in which fish and reef co-occur aresimilar to those found for bear and forest, this isevidence that the same semantic relation tends tohold...
... patient care and organization. This work was supported, in part, by grant of Zhejiang Science and Technology Agency (2008C03002-1) and Zhejiang Major Medical and Health Science and Technology ... Methods: A total of 86 obese children and adolescents and 22 healthy children and adoles-cents with normal weight were enrolled. Moreover, 23 of 86 obese children and adolescents were diagnosed with ... WC, SBP and TG, and lower HDL-C than these of obese group. There was no sta-tistical difference in the age and sex among three groups (p = 0.400, 0.672), as shown in table 1. The relationship...
... classifi-cation of questions and answers and answerre-ranking. We define (a) new tree struc-tures based on shallow semantics encodedin Predicate Argument Structures (PASs) and (b) new kernel functions ... machine learning techniques, e.g. SNoW (Li and Roth, 2005), where questions are encoded us-ing various lexical, syntactic andsemantic features.The retrieval and answer extraction phases consist ... the BOW and PT features onanswer classificationFigure 5: Impact of the PAS and PASN featurescombined with the BOW and PT features on answerclassificationFigure 6: Comparison between PAS and PASNwhen...
... explanatory variables in model(4) and (5). So include, Hi•.OG , fi• (S) and Xi• as extra regressors in (4) and (5). The random effects of the resulting equation (4) (and (5)) includes the term ... separate analyses and that it therefore will add to ourunderstanding of the reproting mechanisms.In the empirical analyses we will take f1 and g1 as a quadratic function and f2 and g2 as ... X2,ε2; ω2) (1b)The variables ε1 and ε1 are random disturbances, f1 describes the relationship between true health and itsinstruments and f2 represents reporting behaviour. Those...
... Compositional Semantic Representations and Lexical Semantic Resources: Towards Accurate Deep Semantic ParsingSergio Roa†‡, Valia Kordoni† and Yi Zhang†Dept. of Computational Linguistics, Saarland University, ... representations and lexical semantic resources. A probabilistic model comprisingMinimal Recursion Semantics (MRS) struc-tures and lexicalist oriented semantic featuresis acquired. Lexical semantic ... available from shal-low semantic parsers (e.g., modality and negation,quantifiers and scopes, etc.). To this effect, var-ious semantic representations have been proposed and used in different...
... over both 17 semantic relations (without EQUATIVE and TIME) and the full19 semantic relations, due to the low frequency and lack of verb-based constructional contexts forEQUATIVE and TIME, as ... corpus type (Vanderwende, 1994; Barker and Szpakowicz, 1998; Rosario and Marti, 2001;Moldovan et al., 2004). In this paper, we use theset of 20 semanticrelations defined by Barker and Szpakowicz ... LinguisticsInterpreting SemanticRelations in Noun Compounds via Verb SemanticsSu Nam Kim† and Timothy Baldwin†‡† Computer Science and Software EngineeringUniversity of Melbourne, Victoria 3010 Australia and ‡...
... and assessing itscontents. For instance, for LKBs, in addition toinformation on words andsemantic relations, it isimportant that these interfaces provide usage ex-amples where semanticrelations ... into mean-ing, and listing semantic properties like wordsenses or relationships between senses.So, a list of relations among words can con-flate a number of highly specialized and obsoletewords ... 93,612 nouns, 38,409 verbs, 33,497adjectives and 3,867 adverbs, in a total of 722,589triples, and it can browse through the followingtypes of semantic relations: synonymy, hyper-nymy, part-of,...
... a brand is favorable and the prior giver-recipient relationship is strong, then the gift recipient’s post-brand attitude becomes more favorable (H1.1); and the post giver-recipient relationship ... toward a brand is neutral and the giver-recipient relationship is strong, then the gift recipient’s post-brand attitude becomes more favorable (H2.1); and the post giver-recipient relationship ... toward a brand is unfarorable and the prior giver-recipient relationship is strong, then the recipient’s post-brand attitudes becomes more favorable (H3.1); and the post giver-recipient relationship...
... Pressure, 94Relationship of Seed Banks to Propagule Pressure, 95Disturbance, 95Disturbance and Land Use, 96Relationship of Disturbance and Succession, 97Relationship of Stress and Disturbance, ... because hoes and other “grubbing”20 WEEDS AND INVASIVE PLANTSWeeds in Rangelands, 26Original Vegetation and Early Land Use History ofGreat Basin, 28Introduction of Cheatgrass and Fire, 28Invasive ... infestationto a more pristine and desirable state (Briske et al. 2003, Sheley and Krueger-Mangold 2003).On the other hand, and from the standpoint of volume of herbage produced and extent of area covered,...
... ex-traction of semanticrelations has not beenhitherto recognized. We introduce the prob-lem of comma resolution, defined as under-standing the role of commas and extracting the relations they ... be used toextract relations. We have manually annotateda corpus identifying comma structures and re-lations they entail and experimented with bothgold standard parses and parses created by ... trained using the gold standard trees and then tested on gold standard parse trees (Gold-Gold), and text annotated using a state-of-the-art sta-tistical parser (Charniak and Johnson, 2005) (Gold-Charniak),...
... syntactic, and word-based features), and classification.In this section, we describe the underlying idea ofcontextual features and how contextual features areused for detecting semantic relations. 2.1 ... Japanese newspapers and weblogs, whose semanticrelations between person and location had been annotated by humans for theexperiments4. There were 5110 pairs with seman-tic relations out of ... Type(A), Type (B), and (A)+(B). We also plotted recall-precision curves5, altering threshold parameters, asshown in Figure 3.The comparison between STR and STR-CT and between STR and STR-CS in...