[PDF] Top 20 Linguistically Motivated Question Classification

... a question interpretation module should be a rather comprehensive query capturing various se- mantic information concerning events in question, entities involved in this event and their properties, and type ... See full document

... We have shown that linguistic correlations to sit- uation entity type are useful features for proba- bilistic models, as are grammatical relations and CCG supertags derived from syntactic analysis of clauses. Models for ... See full document

... fine-grained classification, and the creation of homogenous word classes, this formal syntactic definition is further coupled with distributional properties associated with words, ... See full document

... using linguistically motivated fea- tures for English that-complementizer choice can improve upon the prediction accuracy of a state-of- the-art realization ranking model, arguably in ways that make a ... See full document

... reordering complexity, we look at the main word order feature (subject, object, verb). A difference at this level typically results in poor SMT performances. Then, we count the total number of discordant features. To ... See full document

... as question answering with ...from question-answer pairs, uses a probabilistic CCG to build linguistically motivated logical- form meaning representations, and includes an ontology matching ... See full document

... and semantic features, are therefore extracted from training examples, and then used to build a classifier to apply to the test set for pair classification. Other TE approaches underpin a transformation-based ... See full document

... Supertagging as a search problem can be mod- eled by two major methods, generative model and classification approach (Bangalore et al., 2005). In the former method the problem is modeled by a Hidden Markov Model ... See full document

... In order to disambiguate different senses, most systems to date use a fixed window size to derive classification features. These may or may not be syntactically related to the preposition in question, ... See full document

... eral, linguistically motivated grammar, combine it with a domain-specic lexicon, and compile the result down to a domain-specic context- free grammar that can be used as a language ... See full document

... • Acc 10 train∪dev : Accuracy on the T11 train ∪ dev set obtained via 10-fold cross-validation using the data split information provided by the orga- nizers, applicable only for the closed task. In terms of the tools ... See full document

... a question provides the clues to detect the correct answer from the ...code-mixed question Q: Kaun sa Por- tuguese player, Spanish club Real Madrid ke liye as a forward player khelta hai? (Trans: Which ... See full document

... Several works (see next section for related work) have sug- gested ways to use morphological analysis to improve the quality of machine translation when (at least) one of the languages is morphologically rich and ... See full document

... is motivated by a desire to identify questions and their answers in the context of written dialogue such as email, with the goal of improving inbox management and ... See full document

... Learning inference relations between verbs is at the heart of many semantic applications. However, most prior work on learning such rules focused on a rather narrow set of in- formation sources: mainly distributional ... See full document

... In ARRAU, we focus on different types of noun phrases. In particular, we label markables that do not participate in coreference chains: singletons and non-referentials. The ACE guidelines restrict the annotation scope to ... See full document

... Most systems dedicated to QG are based on hand- crafted rules and rely on pattern matching to gener- ate questions. For example, in (Chen et al., 2009), after the identification of key points, a situation model is built ... See full document

... problem with our linguistically-based system is the large open-ended number of trigger words that generate events. This explosive event gener- ation occurs as the system generates predicate ar- gument structures ... See full document

... (Simard and Langlais, 2001) describes a method of sub-segmenting translation memories which deals with the principles of EBMT. The au- thors of this study created an on-line system TransSearch (Macklovitch et al., 2000) ... See full document

... A typical pattern in most of the current mod- els is the use of a variant of uni- or bi-directional attention schemes (question to context and vice- versa) to encode the semantic content of ques- tions’ words with ... See full document