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Statements

Subject Item
n2:RIV%2F00216224%3A14330%2F12%3A00057557%21RIV13-GA0-14330___
rdf:type
skos:Concept n19:Vysledek
dcterms:description
In this paper we discuss common-sense reasoning from verb valency frames. While seeing verbs as predicates is not a new approach, processing inference as a transformation of valency frames is a promising method we developed with the help of large verb valency lexicons. We went through the whole process and evaluated it on several levels: parsing, valency assignment, syntactic transformation, syntactic and semantic evaluation of the generated propositions. We have chosen the domain of cooking recipes. We built a corpus with marked noun phrases, verb phrases and dependencies among them. We have manually created a basic set of inference rules and used it to infer new propositions from the corpus. Next, we extended this basic set and repeated the process. At first, we generated 1,738 sentences from 175 rules. 1,633 sentences were judged as (syntactically) correct and 1,533 were judged as (semantically) true. After extending the basic rule set we generated 2,826 propositions using 276 rules. In this paper we discuss common-sense reasoning from verb valency frames. While seeing verbs as predicates is not a new approach, processing inference as a transformation of valency frames is a promising method we developed with the help of large verb valency lexicons. We went through the whole process and evaluated it on several levels: parsing, valency assignment, syntactic transformation, syntactic and semantic evaluation of the generated propositions. We have chosen the domain of cooking recipes. We built a corpus with marked noun phrases, verb phrases and dependencies among them. We have manually created a basic set of inference rules and used it to infer new propositions from the corpus. Next, we extended this basic set and repeated the process. At first, we generated 1,738 sentences from 175 rules. 1,633 sentences were judged as (syntactically) correct and 1,533 were judged as (semantically) true. After extending the basic rule set we generated 2,826 propositions using 276 rules.
dcterms:title
Common Sense Inference using Verb Valency Frames Common Sense Inference using Verb Valency Frames
skos:prefLabel
Common Sense Inference using Verb Valency Frames Common Sense Inference using Verb Valency Frames
skos:notation
RIV/00216224:14330/12:00057557!RIV13-GA0-14330___
n19:predkladatel
n20:orjk%3A14330
n3:aktivita
n4:P n4:I n4:S
n3:aktivity
I, P(GAP401/10/0792), P(LM2010013), S
n3:dodaniDat
n17:2013
n3:domaciTvurceVysledku
n23:8666865 n23:6670288
n3:druhVysledku
n14:D
n3:duvernostUdaju
n22:S
n3:entitaPredkladatele
n21:predkladatel
n3:idSjednocenehoVysledku
127748
n3:idVysledku
RIV/00216224:14330/12:00057557
n3:jazykVysledku
n8:eng
n3:klicovaSlova
common sense inference; common sense; implicit knowledge; verb valency; valency frame; valency lexicon
n3:klicoveSlovo
n7:implicit%20knowledge n7:verb%20valency n7:valency%20frame n7:valency%20lexicon n7:common%20sense n7:common%20sense%20inference
n3:kontrolniKodProRIV
[D3E5E519A01F]
n3:mistoKonaniAkce
Berlin / Heidelberg
n3:mistoVydani
Berlin / Heidelberg
n3:nazevZdroje
Proceedings of 15th International Conference on Text, Speech and Dialogue
n3:obor
n11:IN
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n6:LM2010013 n6:GAP401%2F10%2F0792
n3:rokUplatneniVysledku
n17:2012
n3:tvurceVysledku
Grác, Marek Nevěřilová, Zuzana
n3:typAkce
n10:WRD
n3:zahajeniAkce
2012-01-01+01:00
s:issn
0302-9743
s:numberOfPages
8
n18:doi
10.1007/978-3-642-32790-2_40
n15:hasPublisher
Springer-Verlag
n13:isbn
9783642327896
n9:organizacniJednotka
14330