PropBank

Automatically deriving semantic structures from text is a challenging task for machine learning. The flat feature representations, usu- ally used in learning models, can only partially describe structured data. This …...

In this paper we have designed and experi- mented novel convolution kernels for automatic classification of predicate arguments. Their main property is the ability to process struc- tured representations. Support …...

This paper investigates the application of Max- imum Entropy Markov Models to semantic role labelling. Syntactic chunks are labelled according to the semantic role they fill for sentence verb pred- …...

Many recent annotation efforts for English have focused on pieces of the larger problem of semantic annotation, rather than initially producing a single unified representation. This paper discusses the issues …...

We describe an automatic Word Sense Disambiguation (WSD) system that dis- ambiguates verb senses using syntactic and semantic features that encode infor- mation about predicate arguments and se- mantic classes. …...

This article describes a robust seman- tic parser that uses a broad knowledge base created by interconnecting three ma- jor resources: FrameNet, VerbNet and PropBank. The FrameNet corpus con- tains …...

PropBank has been widely used as train- ing data for Semantic Role Labeling. However, because this training data is taken from the WSJ, the resulting machine learning models tend to …...

Most research on semantic role labeling (SRL) has been focused on training and evaluating on the same corpus in order to develop the technology. This strategy, while appropriate for initiating …...

We present a PropBank semantic role label- ing system for English that is integrated with a dependency parser. To tackle the problem of joint syntactic–semantic analysis, the sys- tem relies …...

Semantic Role Labeling (SRL) has proved to be a valuable tool for performing auto- matic analysis of natural language texts. Currently however, most systems rely on a large training set, …...

AbstractIn this paper we present a new FrameNet-based Shallow Semantic Parser. Shallow Semantic Parsing has been a popular Natural Language Processing task since the 2004 and 2005 CoNLL Shared Task …...

AbstractThis paper gives guidelines of how to create and update Propbank frameset files using a dedicated editor, Cornerstone. Propbank is a corpus in which the arguments of each verb predicate …...

AbstractThis paper gives guidelines of how to annotate Propbank instances using a dedicated editor, Jubilee. Propbank is a corpus in which the arguments of each verb predicate are annotated with …...

We discuss a method for identifying se- mantic arguments of a verb from a sen- tence. It differs from existing methods by an unique feature that represents all se- mantic …...

We introduce two Bayesian models for un- supervised semantic role labeling (SRL) task. The models treat SRL as clustering of syntactic signatures of arguments with clusters corresponding to semantic roles. …...

Widely accepted resources for semantic parsing, such as PropBank and FrameNet, are not perfect as a semantic role label- ing framework. Their semantic roles are not strictly defined; therefore, their …...

AbstractThis paper presents the Predicate Matrix v1.1, a new lexical resource resulting from the integration of multiple sources of predicate information including FrameNet, VerbNet, PropBank and WordNet. We start from …...

AbstractThis research focuses on expanding PropBank, a corpus annotated with predicate argument structures, with new predicate types; namely, noun, adjective and complex predicates, such as Light Verb Constructions. This effort …...

AbstractThis paper presents the Predicate Matrix 1.3, a lexical resource resulting from the integration of multiple sources of predicate information including FrameNet, VerbNet, PropBank and WordNet. This new version of …...

AbstractWe present a VerbNet-based annotation scheme for semantic roles that we explore in an annotation study on German language data that combines word sense and semantic role annotation. We reannotate …...

AbstractRecent efforts have focused on expanding the annotation coverage of PropBank from verb relations to adjective and noun relations, as well as light verb constructions (e.g., make an offer, take …...

AbstractHigh accuracy for automated translation and information retrieval calls for linguistic annotations at various language levels. The plethora of informal internet content sparked the demand for porting state-of-art natural language …...

AbstractCreating annotated frame lexicons such as PropBank and FrameNet is expensive and labor intensive. We present a method to induce an embedded frame lexicon in an minimally supervised fashion using …...

AbstractThis paper describes CzEngClass, a bilingual lexical resource being built to investigate verbal synonymy in bilingual context and to relate semantic roles common to one synonym class to verb arguments …...

AbstractBoth syntactic and semantic structures are key linguistic contextual clues, in which parsing the latter has been well shown beneficial from parsing the former. However, few works ever made an …...

AbstractQuestion Generation (QG) is fundamentally a simple syntactic transformation; however, many aspects of semantics influence what questions are good to form. We implement this observation by developing Syn-QG, a set …...

AbstractIn this paper, we present and explain TRopBank “Turkish PropBank v2.0”. PropBank is a hand-annotated corpus of propositions which is used to obtain the predicate-argument information of a language. Predicate-argument …...

AbstractWhile cross-lingual techniques are finding increasing success in a wide range of Natural Language Processing tasks, their application to Semantic Role Labeling (SRL) has been strongly limited by the fact …...

Contextualized word representations have proven useful for various natural language pro- cessing tasks. However, it remains unclear to what extent these representations can cover hand-coded semantic information such as se- …...

AbstractThis paper describes the evolution of the PropBank approach to semantic role labeling over the last two decades. During this time the PropBank frame files have been expanded to include …...

AbstractRobot-Assisted minimally invasive robotic surgery is the gold standard for the surgical treatment of many pathological conditions, and several manuals and academic papers describe how to perform these interventions. These …...