VerbNet

This paper describes an algorithm for propagating verb arguments along lexi- cal chains consisting of WordNet rela- tions. The algorithm creates verb argu- ment structures using VerbNet syntactic patterns. In …...

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 …...

VerbNet (VN) is a major large-scale En- glish verb lexicon. Mapping verb instances to their VN classes has been proven use- ful for several NLP tasks. However, verbs are polysemous …...

The work presented in this paper explores a supervised method for learning a prob- abilistic model of a lexicon of VerbNet classes. We intend for the probabilis- tic model to …...

Most previous research on verb clustering has focussed on acquiring flat classifications from corpus data, although many manually built classifications are taxonomic in nature. Also Natural Language Processing (NLP) applica- …...

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 …...

We present UBY, a large-scale lexical- semantic resource combining a wide range of information from expert-constructed and collaboratively constructed resources for English and German. It currently contains nine resources in …...

This research describes efforts to use crowd- sourcing to improve the validity of the seman- tic predicates in VerbNet, a lexicon of about 6300 English verbs. The current semantic predicates …...

AbstractThe goal of this paper is to propose a classification of the syntactic alternations admitted by the most frequent Italian verbs. The data-driven two-steps procedure exploited and the structure of …...

AbstractWhile natural language processing performance has been improved through the recognition that there is a relationship between the semantics of the verb and the syntactic context in which the verb …...

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 …...

The aim of this paper is to discuss difficul- ties involved in adopting an existing sys- tem of semantic roles in a grammar engi- neering task. Two typical repertoires of …...

AbstractWe present a supervised method for verb sense disambiguation based on VerbNet. Most previous supervised approaches to verb sense disambiguation create a classifier for each verb that reaches a frequency …...

This study focuses on personality predic- tion of protagonists in novels based on the Five-Factor Model of personality. We present and publish a novel collaboratively built dataset of fictional character …...

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 …...

AbstractThis paper proposes a new method for Italian verb classification -and a preliminary example of resulting classes- inspired by Levin (1993) and VerbNet (Kipper-Schuler, 2005), yet partially independent from these …...

. VerbNet is a lexical resource for English verbs that has proven useful for NLP thanks to its high lexical and syntactic coverage and its systematic coding of thematic roles. …...

AbstractExisting approaches to automatic VerbNet-style verb classification are heavily dependent on feature engineering and therefore limited to languages with mature NLP pipelines. In this work, we propose a novel cross-lingual …...

This paper focuses on specific changes to the semantic representations associated with classes of verbs in the English lexical resource VerbNet (Schuler, 2005). The new form has been restricted to …...

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 …...

AbstractThis paper presents Unsupervised Lexical Frame Induction, Task 2 of the International Workshop on Semantic Evaluation in 2019. Given a set of prespecified syntactic forms in context, the task requires …...

AbstractCommitments and requests are a hallmark of collaborative communication, especially in team settings. Identifying specific tasks being committed to or request from emails and chat messages can enable important downstream …...

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 …...

AbstractResearch into representation learning models of lexical semantics usually utilizes some form of intrinsic evaluation to ensure that the learned representations reflect human semantic judgments. Lexical semantic similarity estimation is …...