• No results found

[PDF] Top 20 I Can Sense It: a Comprehensive Online System for WSD

Has 10000 "I Can Sense It: a Comprehensive Online System for WSD" found on our website. Below are the top 20 most common "I Can Sense It: a Comprehensive Online System for WSD".

I Can Sense It: a Comprehensive Online System for WSD

I Can Sense It: a Comprehensive Online System for WSD

... Our system generates the output files in UKB format as stated ...output can be easily parsed, however, it is not suitable for manual ...output online, where the sense tags are accompanied with ... See full document

8

Density Maximization in Context Sense Metric Space for All words WSD

Density Maximization in Context Sense Metric Space for All words WSD

... Centered on each hypotheses, a Gaussian ker- nel is placed as a smoothing model. It extrapo- lates the hypotheses of other words around it. In accordance with geometric intuition, intensity of extrapolation is affected ... See full document

10

DKPro WSD: A Generalized UIMA based Framework for Word Sense Disambiguation

DKPro WSD: A Generalized UIMA based Framework for Word Sense Disambiguation

... and/or sense inventory, or define their own custom formats into which existing resources must be ...the system (which may not always be appropriate for the corpus language or ...coding WSD algorithms ... See full document

6

Cross lingual WSD for Translation Extraction from Comparable Corpora

Cross lingual WSD for Translation Extraction from Comparable Corpora

... translation can- didate is generally considered as correct if it is an appropriate translation for at least one sense of the source word in the dictionary, which of- ten corresponds to its most frequent ... See full document

10

Relieving the data Acquisition Bottleneck in Word Sense Disambiguation

Relieving the data Acquisition Bottleneck in Word Sense Disambiguation

... In a supervised learning setting, WSD is cast as a classification problem, where a predefined set of sense tags constitutes the classes. The ambigu- ous words in text are assigned one or more of these ... See full document

8

Supervised Approach to Word Sense Disambiguation

Supervised Approach to Word Sense Disambiguation

... 1.Ariel Raviv and Shaul Markovitch introduce Concept-Based Disambiguation (CBD),[1] a novel framework that utilizes recent semantic analysis techniques to represent both the context of the word and its senses in a ... See full document

6

Word Sense Disambiguation via PropStore and OntoNotes for Event Mention Detection

Word Sense Disambiguation via PropStore and OntoNotes for Event Mention Detection

... word sense dictionary that defines the senses and their descriptions for each ...approach can be extended to disambiguate senses of words in other types of ...our WSD method can be applied to ... See full document

5

Using Wiktionary as a resource for WSD : the case of French verbs

Using Wiktionary as a resource for WSD : the case of French verbs

... word sense induction, word sense disambiguation (WSD), whether supervised or semi-supervised, has the advantage of using interpretable senses, but requires annotated data, which are quite rare for ... See full document

12

Combining Relational and Distributional Knowledge for Word Sense Disambiguation

Combining Relational and Distributional Knowledge for Word Sense Disambiguation

... Predominant sense selection ...the sense embedding process has a problem with verbs where the sense distinc- tion is a distinction between transitive and intran- sitive use, ... See full document

10

International Journal of Computer Science and Mobile Computing

International Journal of Computer Science and Mobile Computing

... [1]. Sense Disambiguation [2] is an ‘intermediate task’ which is not an end itself, but rather is necessary at one level or another to accomplish most NLP ...tasks. Sense Disambiguation involves ... See full document

6

Robust and Efficient Page Rank for Word Sense Disambiguation

Robust and Efficient Page Rank for Word Sense Disambiguation

... Word Sense Disambiguation (WSD) investigates methods to automatically determine the intended sense of a word in a given context according to a predefined set of sense definitions, provided by ... See full document

9

Representing Semantics of Text by Acquiring its Canonical Form

Representing Semantics of Text by Acquiring its Canonical Form

... Word Sense Disambiguation (WSD) technique and later applies the First Order Predicate Logic (FOPL) scheme to represent the identified canonical ...in WSD, which are Lesk and Selectional Preference ... See full document

7

The Interaction of Knowledge Sources in Word Sense Disambiguation

The Interaction of Knowledge Sources in Word Sense Disambiguation

... Word sense disambiguation WSD is a computational linguistics task likely to benefit from the tradition of combining different knowledge sources in artificial in telligence research.. A n[r] ... See full document

30

Sense Aware Statistical Machine Translation using Adaptive Context Dependent Clustering

Sense Aware Statistical Machine Translation using Adaptive Context Dependent Clustering

... off-the-shelf WSD does not yield significantly better quality translations than a SMT system not using it (Carpuat and Wu, ...of WSD for SMT as predicting possible target translations rather than ... See full document

10

WSD for n best reranking and local language modeling in SMT

WSD for n best reranking and local language modeling in SMT

... Word Sense Disambiguation (WSD) is the task of identifying the sense of words in texts by reference to some pre-existing sense ...and WSD method strongly depends on the goal WSD ... See full document

9

SemEval 2007 Task 11: English Lexical Sample Task via English Chinese Parallel Text

SemEval 2007 Task 11: English Lexical Sample Task via English Chinese Parallel Text

... each sense of an English word, the English side of a word-aligned parallel text can then serve as the training data, as they are considered to have been disambiguated and “sense-tagged” by the ... See full document

5

Evaluating the performance of sentence level features and domain sensitive features of product reviews on supervised sentiment analysis tasks

Evaluating the performance of sentence level features and domain sensitive features of product reviews on supervised sentiment analysis tasks

... OPRs: online product reviews; SA: sentiment analysis; ML: machine learning; BOW: bag of words; CBOW: continuous bag of words; WSD: word sense disambiguation; SLF: sentence level features; DSF: domain ... See full document

19

A Fully Unsupervised Word Sense Disambiguation Method Using Dependency Knowledge

A Fully Unsupervised Word Sense Disambiguation Method Using Dependency Knowledge

... the WSD process described in Sec- tion 2 and 3 using the WordNet 2.1 sense repository that is adopted by SemEval-2007 Task ...steps can be parallelized and run on multiple computers, and the whole ... See full document

9

Together We Can: Bilingual Bootstrapping for WSD

Together We Can: Bilingual Bootstrapping for WSD

... Bootstrapping for Word Sense Disambiguation was first discussed in (Yarowsky, 1995). Starting with a very small number of seed collocations an initial de- cision list is created. This decisions list is then ap- ... See full document

9

Disambiguation of Biomedical Abbreviations

Disambiguation of Biomedical Abbreviations

... our system is higher than is normally achieved by WSD systems when applied to general terms and we suggest that the reason for this is that the various expansions of abbreviations are better defined and ... See full document

9

Show all 10000 documents...

Related subjects