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Distributional semantic models, deriving vector-based word representations from patterns of word usage in corpora, have many useful applications (Turney and Pantel 2010). Recently, there has been in...
We present SimLex-999, a gold standard resource for evaluating distributional semantic models that improves on existing resources in several important ways. First, in contrast to gold standards such a...
Automatically identifying the sentiment polarity of words is a very important task that has been used as the essential building block of many natural language processing systems such as text classific...
As in many natural language processing tasks, data-driven models based on supervised learning have become the method of choice for semantic role labeling. These models are guaranteed to perform well w...
This paper focuses on a well-known open issue in Semantic Role Classification (SRC) research: the limited influence and sparseness of lexical features. We mitigate this problem using models that integ...
Current investigations in data-driven models of parsing have shifted from purely syntactic analysis to richer semantic representations, showing that the successful recovery of the meaning of text requ...
We present a study on the automatic acquisition of semantic classes for Catalan adjectives from distributional and morphological information, with particular emphasis on polysemous adjectives. The aim...
Nominal predicates often carry implicit arguments. Recent work on semantic role labeling has focused on identifying arguments within the local context of a predicate; implicit arguments, however, have...
A Scalable Distributed Syntactic,Semantic,and Lexical Language Model     Distributed  Syntactic  Semantic  Lexical       font style='font-size:12px;'> 2015/9/10
This paper presents an attempt at building a large scale distributed composite language model that is formed by seamlessly integrating an n-gram model, a structured language model, and probabilistic l...
This article describes how semantic role resources can be exploited for preposition disambiguation. The main resources include the semantic role annotations provided by the Penn Treebank and FrameNet ...
A Minimal Recursion Semantic Analysis of Locatives     Minimal Recursion  Semantic Analysis  Locatives       font style='font-size:12px;'> 2015/9/7
The article describes a pilot implementation of a grammar containing different types of locative PPs. In particular, we investigate the distinction between static and directional locatives, and betwee...
Tree Kernels for Semantic Role Labeling     Tree Kernels  Semantic Role Labeling       font style='font-size:12px;'> 2015/9/6
The availability of large scale data sets of manually annotated predicate-argument structures has recently favored the use of machine learning approaches to the design of automated semantic role label...
Labeling Chinese Predicates with Semantic Roles     Labeling Chinese Predicates  Semantic Roles       font style='font-size:12px;'> 2015/9/6
In this article we report work on Chinese semantic role labeling, taking advantage of two recently completed corpora, the Chinese PropBank, a semantically annotated corpus of Chinese verbs, and the Ch...
We present a general framework for semantic role labeling. The framework combines a machine-learning technique with an integer linear programming-based inference procedure, which incorporates linguist...
Semantic Role Labeling:An Introduction to the Special Issue     Semantic Role Labeling  Special Issue       font style='font-size:12px;'> 2015/9/6
Semantic role labeling, the computational identification and labeling of arguments in text, has become a leading task in computational linguistics today. Although the issues for this task have been st...

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