搜索结果: 1-15 共查到“文学 Sense”相关记录36条 . 查询时间(0.049 秒)
Talking sense: The behavioural and neural correlates of sound symbolism
neural correlates sound symbolism
2017/9/1
Many PhDs start with a quote from a scientist/author/bearded man from centuries ago.
This well-chosen quote demonstrates both the timeless nature of the important topic
in question and precisely how...
Making sense: motor activation and action plausibility during sentence processing
motor activation action plausibility
2017/8/30
The current electroencephalography study investigated the relationship between the motor and (language) comprehension systems by simultaneously measuring mu and N400 effects. Specifically, we examined...
A Game-Theoretic Approach to Word Sense Disambiguation
Word Sense Disambiguation Game-Theoretic
2017/4/6
This article presents a new model for word sense disambiguation formulated in terms of evolutionary
game theory, where each word to be disambiguated is represented as a node on a graph
whose edges r...
Hashtags are creative labels used in micro-blogs to characterize the topic of a message/discussion.
Regardless of the use for which they were originally intended, hashtags cannot be used as a means
...
Word sense disambiguation and the related field of automated word sense induction traditionally
assume that the occurrences of a lemma can be partitioned into senses. But this seems
to be a much eas...
Improved Estimation of Entropy for Evaluation of Word Sense Induction
Entropy for Evaluation Word Sense Induction
2015/9/14
Information-theoretic measures are among the most standard techniques for evaluation of clustering methods including word sense induction (WSI) systems. Such measures rely on sample-based estimates of...
Word Sense Disambiguation (WSD) systems automatically choose the intended meaning of a
word in context. In this article we present a WSD algorithm based on random walks over large
Lexical Knowledge ...
A Large-Scale Pseudoword-Based Evaluation Framework for State-of-the-Art Word Sense Disambiguation
Large-Scale Pseudoword State-of-the-Art Word Sense Disambiguation
2015/9/14
The evaluation of several tasks in lexical semantics is often limited by the lack of large amounts of manual annotations, not only for training purposes, but also for testing purposes. Word Sense Disa...
Clustering and Diversifying Web Search Results with Graph-Based Word Sense Induction
Clustering and Diversifying Web Search Graph Word Sense Induction
2015/9/11
Web search result clustering aims to facilitate information search on the Web. Rather than the results of a query being presented as a flat list, they are grouped on the basis of their similarity and ...
The Noisy Channel Model for Unsupervised Word Sense Disambiguation
Word Sense Disambiguation Noisy Channel Model
2015/9/8
We introduce a generative probabilistic model, the noisy channel model, for unsupervised word
sense disambiguation. In our model, each context C is modeled as a distinct channel through
which the sp...
Consistent Validation of Manual and Automatic Sense Annotations with the Aid of Semantic Graphs
Automatic Sense Annotations Validation
2015/9/1
The task of annotating texts with senses from a computational lexicon is widely recognized to be
complex and often subjective. Although strategies like interannotator agreement and voting can
be app...
The Interaction of Knowledge Sources in Word Sense Disambiguation
Word Sense Disambiguation Knowledge Sources
2015/8/26
Word sense disambiguation (WSD) is a computational linguistics task likely to benefit from the
tradition of combining different knowledge sources in artificial intelligence research. An i...
A 'parser' is a device, either human or mechanical, that is designed to analyse a person's utterances as a part of deciding what that person meant. Most mechanical parsers do this by breaking down, or...
Combining Heterogeneous Classifiers for Word-Sense Disambiguation
Heterogeneous Classifiers Word-Sense Disambiguation
2015/6/12
This paper discusses ensembles of simple but heterogeneous classifiers for word-sense disambiguation, examining the Stanford-CS224N system entered in the SENSEVAL-2 English lexical sample task. First-...
Verb Sense and Subcategorization:Using Joint Inference to Improve Performance on Complementary Tasks
Verb Sense and Subcategorization Performance Complementary Tasks
2015/6/12
We propose a general model for joint inference in correlated natural language processing tasks when fully annotated training data is not available, and apply this model to the dual tasks of word sense...