[PDF] Top 20 How we BLESSed distributional semantic evaluation

... clear how to distinguish the events expressing a typical function of nominal concepts ...promise: Semantic relations are not limited to tax- onomic types and also include attributes and events strongly ... See full document

... A direct approach to evaluating linguistic dis- tance measures is to determine how close they are to human judgment and intuition. Given a set of word-pairs, humans can rank them in or- der of their ... See full document

... Given its large size, in terms both of lexical items and coded relations, WordNet is potentially extremely relevant to evaluate DSMs. However, since it has been built by lexicographers without checking against human ... See full document

... These behavior-based evaluation methods are all resource intensive, requiring either linguistic expertise or human-generated data. Such meth- ods might not always be available, especially in languages with fewer ... See full document

... estimated distributional representations of unat- tested ANs (ANs which have never been seen in our large corpus and for which we have no distributional information) that are semantically deviant can ... See full document

... and distributional information in the graphical calculation of text ...task-based evaluation is not intended as the last word on the usefulness of the method, but rather as a first suite of experiments ... See full document

... Firstly, we would like to take our two-round unsupervised bagging further by performing another iteration of sampling and then bootstrapping, to see if we can get a further im- ...Secondly, we also ... See full document

... extracted distributional semantic vectors us- ing as source corpus the concatenation of ukWaC, Wikipedia (2009 dump) and BNC, ...7 We use a bag-of-words approach and we count co-occurrences ... See full document

... pretrained distributional vectors in the form of ...gap, we propose a novel method that trans- fers specialization from a resource-rich source language (English) to virtually any target lan- ...of ... See full document

... The winner in this experiment was PLS, once again followed by the NOUN-baseline. However, the score differences obtained by PLS and the NOUN-baseline are not significant (HAL p-value = 0.4939, RI p- value = 0.1985, ... See full document

... alized distributional semantic vectors into a gen- erative probabilistic model as observed ...emissions. We demonstrate the effectiveness of our model in two domain modelling ...First, we ... See full document

... their evaluation methodology is adopted in the present work and described in more detail in section 4, we will not discuss it here and instead focus on the main ...modeling semantic priming. This ... See full document

... the evaluation and optimization of ...for evaluation pur- poses (Bullinaria and Levy, 2007; Bullinaria and Levy, 2012; Kiela and Clark, 2014; Baroni et ...which we refer to as the bag-of-words (BOW) ... See full document

... what we saw above regarding SGNS performance in the syntagmatic task brings us to an interesting conclusion about the “optimal parameter setting” for this model: using the w+c option is a good choice adding to the ... See full document

... Because structured language assessment tools are not always sensitive to the particular atypical seman- tic and pragmatic expression associated with ASD, measures of atypical language are often drawn from spontaneous ... See full document

... 1: Evaluation of Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Textual ...on Semantic Evaluation (SemEval ... See full document

... Distributional Semantic Models (DSMs) approximate the meaning of words with vectors summarizing their pat- terns of co-occurrence in ...the distributional representations of the words they contain ... See full document

... This approach, as opposed to the methods based on dictionaries of MWEs (idioms) or Word- net (Miller, 1995), has the following advantages: Firstly, the classification of a manually annotated data is not binary but ... See full document

... Resnik (1995) uses the notion of information con- tent to improve on the standard edge counting methods proposed to measure similarity in tax- onomies such as WordNet. He proposes that the information content of a term t ... See full document

... (a) how literal they perceived the compound to be, or (b) how literally the first constituent was used in the compound or (c) how literally the second constituent was used in the ...study we ... See full document