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When the Whole Is Less Than the Sum of Its Parts: How Composition Affects PMI Values in Distributional Semantic Vectors
Semantic Vectors PMI Values
2016/7/7
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...
SimLex-999: Evaluating Semantic Models With (Genuine) Similarity Estimation
Evaluating Semantic Models Similarity Estimation
2016/2/23
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...
A Random Walk–Based Model for Identifying Semantic Orientation
Random Walk–Based Model Identifying Semantic Orientation
2015/9/14
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...
Similarity-Driven Semantic Role Induction via Graph Partitioning
Similarity-Driven Semantic Role Induction Graph Partitioning
2015/9/14
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...
Selectional Preferences for Semantic Role Classification
Selectional Preferences Semantic Role Classification
2015/9/11
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...
Multilingual Joint Parsing of Syntactic and Semantic Dependencies with a Latent Variable Model
Multilingual Joint Parsing Syntactic Semantic Latent Variable Model
2015/9/11
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...
Modeling Regular Polysemy:A Study on the Semantic Classification of Catalan Adjectives
Modeling Regular Polysemy Semantic Classification Catalan Adjectives
2015/9/10
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...
Semantic Role Labeling of Implicit Arguments for Nominal Predicates
Semantic Role Labeling Implicit Arguments Nominal Predicates
2015/9/10
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
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...
Exploiting Semantic Role Resources for Preposition Disambiguation
Exploiting Semantic Role Resources Preposition Disambiguation
2015/9/7
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
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...
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...
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...
The Importance of Syntactic Parsing and Inference in Semantic Role Labeling
Syntactic Parsing Inference Semantic Role Labeling
2015/9/6
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
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...