[PDF] Top 20 Grounded Models of Semantic Representation

... In this paper we have used McRae et al.’s (2005) norms without any extensive feature engineering other than applying a frequency cut-off. In the fu- ture we plan to experiment with feature selection methods in an attempt ... See full document

... distributional models across the ...and models based on a single ...based representation is general and text-based we argue that it can be conveniently integrated with any type of distributional ... See full document

... data-driven semantic modelling: from the log- linear skip-gram model of Mikolov et ...These models boast of a higher performance accuracy in numer- ous semantic tasks, including modeling seman- tic ... See full document

... Most of the current abstractive text sum- marization models are based on the sequence-to-sequence model (Seq2Seq). The source content of social media is long and noisy, so it is difficult for Seq2Seq to learn an ... See full document

... Next, we notice that p is bounded to begin with, but it could be quite large. When a sentence con- tains many proteins (i.e., large p), it often stems from conjunction of proteins, as in “TP53 regulates many downstream ... See full document

... GRaSP can be combined with various existing models. We use PROV (Moreau et al., 2013) to model the provenance of mentions and interpreta- tions made on them (i.e. to model the NLP pro- cess following Ockeloen et ... See full document

... the models of word represen- tation used; (ii) the proposed negative cor- relation between meaning change and pro- totypicality is shown to be much weaker than what has been claimed in prior art; and (iii) the ... See full document

... stock models of quantum mechanics are tried out as mathematical representations o f this potential, ...stock models (contrary to the strong interaction ...stock models we try out, however, are based ... See full document

... computational semantic models to de- code an fMRI data set spanning a diverse set of nouns of varying ...rapid semantic processing required in conversations and many real time interactions with the ... See full document

... of models on corpora other than ...tive models (Mikolov et ...cross-lingual semantic similar- ...multi-prototype models (Huang et ...approach models word senses and concepts ... See full document

... The most attractive feature of the biomedical domain is that domain knowledge is prevailing in this domain for dozens of languages. In particular, UMLS is undoubtedly the largest lexico-semantic resource for ... See full document

... ABSTRACT: Speech recognition is an area of research which deals with the recognition of speech by machine in several conditions. This paper describes a technique that uses Autoassociative Neural Network (AANN) to ... See full document

... approach models the case where EP conjunctions are built during the semantic composition and before any scope resolution (something that can happen in ...a semantic compo- sition process, presenting ... See full document

... a representation of natural language utterances, which is of- fering a good support for semantic annotation in the context of the Semantic Web and other ... See full document

... sentence representation in different models, including NMT, by applying them to various sen- tence classification tasks and by relating semantic similarity to closeness in the representation ... See full document

... ABSTRACT: Speech Recognition approach intends to recognize the text from the speech utterance which can be more helpful to the people with hearing disabled. This paper describes a technique that uses support vector ... See full document

... To evaluate SEC, we generate a “corrupted” dataset of semantic errors from the test part of the “trusted” dataset (Table 1, last column). We manu- ally build confusion sets (Table 2) by searching the development ... See full document

... ing representation such as logical forms or struc- tured ...for semantic parsing (Zettlemoyer and Collins, 2005; Zettlemoyer and Collins, 2007; Mooney, 2007; Kwiatkowski et ...several grounded- ... See full document

... climber (vine) woodbine brier kiwi Table 4: The top 3 most similar words for two polyse- mous types. Single sense VSMs capture the most fre- quent sense. Our techniques effectively separates out the different senses of ... See full document

... termediate semantic representations for many traditional NLP tasks (such as information ex- traction and question answering), it does not capture grounded semantics so that an arti- ficial agent can reason, ... See full document