[PDF] Top 20 A Structured Representation of Word Senses for Semantic Analysis
Has 10000 "A Structured Representation of Word Senses for Semantic Analysis" found on our website. Below are the top 20 most common "A Structured Representation of Word Senses for Semantic Analysis".
A Structured Representation of Word Senses for Semantic Analysis
... The semantic data base presently consists of 850 word-sense definitions; each definition includes in the average 20 elementary graphs.. Each graph is represented by a pragmatic rule, wit[r] ... See full document
9
Visual Information in Semantic Representation
... The representation and modeling of word mean- ing has been a central problem in cognitive science and natural language ...how semantic knowledge is ac- quired, organized, and ultimately used in ... See full document
9
Word net based Method for Determining Semantic Sentence Similarity through various Word Senses
... Some of the restrictions for this algorithm are as follows. In very few cases, it provides much underestimated results compared to human ratings. Due to which the results for sentence similarity becomes incorrect. This ... See full document
7
Unsupervised Acquisition of Predominant Word Senses
... The article is organized as follows. In the next section we motivate the use of pre- dominant sense information in WSD systems and the need for acquiring this information automatically. In Section 3 we give an overview ... See full document
38
Creating and Validating Multilingual Semantic Representations for Six Languages: Expert versus Non Expert Crowds
... In order to allow better interpretation of the non- experts’ scores, we repeated the experiments on a smaller scale with up to four experts per lan- guage (English, Arabic, Chinese and Urdu), who were already familiar ... See full document
11
Leveraging Web Semantic Knowledge in Word Representation Learning
... leveraging semantic lexi- cons like WordNet to enhance word representation learning (WRL) and achieves promising performance on many NLP ...created, semantic lexicons or linguistic ...leverage ... See full document
8
Extrofitting: Enriching Word Representation and its Vector Space with Semantic Lexicons
... only word representation but also its vector space using semantic lex- icons, which we call ...the word vectors, filling with their repre- sentative ...Discriminant Analysis, which ... See full document
6
Automatically Solving Number Word Problems by Semantic Parsing and Reasoning
... Number word problem examples In this paper, we present a computer system called SigmaDolphin which automatically solves math word problems by semantic parsing and rea- ...meaning ... See full document
11
Embedding a Semantic Network in a Word Space
... linked word senses into a continuous-vector word space; the method is agnostic about whether the original word space was produced using a context-counting or context- predicting ...for ... See full document
6
Exploring Semantic Representation in Brain Activity Using Word Embeddings
... and word vectors has been studied in previous ...correlation analysis from only the ventral tempo- ral pathway, not from the whole ...correlation analysis using the voxels of the whole brain and ... See full document
11
Identifying Temporal Orientation of Word Senses
... quantitative analysis of the glosses as- sociated to synsets, and on the use of the result- ing vector space model representations for semi- supervised synset ...specific semantic rela- tion ... See full document
9
Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces
... on word definitions (glosses) or related words extracted from the the lexical resource while ignoring the knowl- edge encoded in the semantic ...the semantic structure of the lex- ical resource for ... See full document
8
A Unified Multilingual Semantic Representation of Concepts
... a word into a single vecto- rial ...as Word Sense Disambiguation (WSD) that re- quire the representation of individual word ...the representation of word senses (Pantel ... See full document
11
Visualizing word senses in WordNet Atlas
... GLObal Semantic System (GLOSS) project, funded by Regione Toscana, ...the analysis of data in the environmental and public security ...new word senses to the generic ... See full document
5
The Role of Semantic Roles in Disambiguating Verb Senses
... The sentences were automatically pos-tagged with the Ratnaparki tagger and parsed with the Collins parser. We extracted local contextual fea- tures as for WordNet sense-tagging and used the lo- cal features to train our ... See full document
8
Discriminating Among Word Senses Using McQuitty’s Similarity Analysis
... the senses of a given target word based on the context in which it oc- ...a word that occur in similar contexts are grouped together via McQuitty’s Similarity Analysis, an agglomerative ... See full document
6
Using Senses in HMM Word Alignment
... incorporate senses in a word alignment ...to senses have been shown to be generated, which make it pos- sible to distinguish between different ...encompassing senses may be generated, for ... See full document
8
Distinguishing Word Senses in Untagged Text
... Q/9/1/9 = E[lnpY, SI/9'I/9, Y] 3 Here, /9 is the current value of the maximum likeli- hood estimates of the model parameters and/9i is the improved estimate that we are seeking; pY, SI/9[r] ... See full document
11
Extracting Glosses to Disambiguate Word Senses
... hand, word usages in large corpora like the Web reflect nearly all of the word senses in use in English today, albeit without manually- supplied ...different senses (Pantel and Lin, ...any ... See full document
9
Automatic Identification of Infrequent Word Senses
... There is scope for experimentation with other WordNet similarity scores. From earlier experi- ments we noted that the lesk measure produced quite good results, although it is considerably less efficient than jcn as it ... See full document
7
Related subjects