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2017年第十二届国际语义与社会媒体适应与个性化研讨会（2017 12th International Workshop on Semantic and Social Media Adaptation and Personalization （SMAP））
2017年 第十二届 国际语义 社会媒体适应 个性化 研讨会
2017/6/19
The Semantic and Social Media Adaptation and Personalization (SMAP) workshop is the evolution of the Semantic Media Adaptation and Personalization initiative, which was founded during the summer of 20...
SEISE Tool Uses Semantic Gaps to Detect Website Promotional Attacks
SEISE Tool Semantic Gaps Detect Website Promotional Attacks
2016/5/31
By detecting semantic inconsistencies in content, researchers have developed a new technique for identifying promotional infections of websites operated by government and educational organizations. Su...
Frame-Semantic Parsing
Frame-Semantic linguistics
2015/9/14
Frame semantics is a linguistic theory that has been instantiated for English in the FrameNet
lexicon. We solve the problem of frame-semantic parsing using a two-stage statistical model
that takes l...
Cross-Genre and Cross-Domain Detection of Semantic Uncertainty
Semantic Uncertainty Cross-Genre Cross-Domain
2015/9/10
Uncertainty is an important linguistic phenomenon that is relevant in various Natural
Language Processing applications, in diverse genres from medical to community generated,
newswire or scienti@...
Large-scale annotated corpora are a prerequisite to developing high-performance semantic role
labeling systems. Unfortunately, such corpora are expensive to produce, limited in size, and
may not be ...
A Graph-Theoretic Framework for Semantic Distance
Semantic Distance Graph-Theoretic Framework
2015/9/8
Many NLP applications entail that texts are classified based on their semantic distance (how
similar or different the texts are). For example, comparing the text of a new document to that of
d...
The effect of partial semantic feature match in forward prediction and backward retrieval
forward prediction backward retrieval
2015/9/7
The effect of partial semantic feature match in forward prediction and backward retrieval.
The role of temporal predictability in semantic expectation: An MEG investigation
Prediction Expectation Semantic
2015/9/2
Prior research suggests that prediction of semantic and syntactic information prior to the
bottom-up input is an important component of language comprehension. Recent work in
basic visual and audito...
THE N400 IS NOT A SEMANTIC ANOMALY RESPONSE: MORE EVIDENCE FROM ADJECTIVE-NOUN COMBINATION
ANOMALY RESPONSE ADJECTIVE-NOUN COMBINATION
2015/9/2
Previous work has shown that the N400 ERP component is elicited by all words, whether
presented in isolation or in structured contexts, and that its amplitude is modulated by
semantic association ...
How are meanings, of expressions in a natural human language, related to concepts? And how is semantic composition related to conceptual composition? I assume that concepts are mental symbols that can...
Automatic Semantic Facilitation in Anterior Temporal Cortex Revealed through Multimodal Neuroimaging
Anterior Temporal Cortex Semantic Facilitatio
2015/9/2
A core property of human semantic processing is the rapid, facilitatory influence of prior input on extracting the meaning of what comes
next, even under conditions of minimal awareness. Previous wor...
Chomsky’s (1995, 2000a) Minimalist Program (MP) invites a perspective on semantics that is distinctive and attractive. In section one, I discuss a general idea that many theorists should find congenia...
Why anticipatory processes correspond to cognitive abilities of living systems? To
be adapted to an environment, behaviors need at least i) internal representations of
events occurring in the extern...
Corpus-based Learning of Analogies and Semantic Relations
analogy metaphor semantic relations Vector Space Model cosine similarity noun-modifier pairs
2015/7/30
We present an algorithm for learning from unlabeled text, based on the Vector Space Model (VSM) of information retrieval, that can solve verbal analogy questions of the kind found in the SAT college e...
A Computational Model of Children's Semantic Memory
LSA Latent Semantic Analysis semantic memory children
2015/7/30
A computational model of children's semantic memory is built from the Latent Semantic Analysis (LSA) of a multisource child corpus. Three tests of the model are described, simulating a vocabulary test...