VerbOcean: Mining the Web for Fine-Grained Semantic Verb Relations
نویسندگان
چکیده
Broad-coverage repositories of semantic relations between verbs could benefit many NLP tasks. We present a semi-automatic method for extracting fine-grained semantic relations between verbs. We detect similarity, strength, antonymy, enablement, and temporal happens-before relations between pairs of strongly associated verbs using lexicosyntactic patterns over the Web. On a set of 29,165 strongly associated verb pairs, our extraction algorithm yielded 65.5% accuracy. Analysis of error types shows that on the relation strength we achieved 75% accuracy. We provide the resource, called VERBOCEAN, for download at http://semantics.isi.edu/ocean/.
منابع مشابه
VerbCROcean: A Repository of Fine-Grained Semantic Verb Relations for Croatian
In this paper we describe VERBCROCEAN, a broad-coverage repository of fine-grained semantic relations between Croatian verbs. Adopting the methodology of Chklovski and Pantel (2004) used for acquiring the English VerbOcean, we first acquire semantically related verb pairs from a web corpus hrWaC by relying on distributional similarity of subject-verb-object paths in the dependency trees. We the...
متن کاملGlobal Path-Based Refinement of Noisy Graphs Applied to Verb Semantics
Recently, researchers have applied textand web-mining algorithms to mine semantic resources. The result is often a noisy graph of relations between words. We propose a mathematically rigorous refinement framework, which uses path-based analysis, updating the likelihood of a relation between a pair of nodes using evidence provided by multiple indirect paths between the nodes. Evaluation on refin...
متن کاملCrowdsourcing a Large Dataset of Domain-Specific Context-Sensitive Semantic Verb Relations
We present a new large dataset of 12403 context-sensitive verb relations manually annotated via crowdsourcing. These relations capture fine-grained semantic information between verb-centric propositions, such as temporal or entailment relations. We propose a novel semantic verb relation scheme and design a multi-step annotation approach for scaling-up the annotations using crowdsourcing. We emp...
متن کامل6 . 863 Final Project Writeup
The goal of this system is to provide a measure of semantic similarity between any two verbs. The VerbOcean dataset contains various semantic relationships for a set of 3477 unique verbs. The pairwise relationships between verbs contained in VerbOcean were used to create a graph of semantic relations between many verbs. A tree traversal algorithm was implemented so that, given a starting word a...
متن کاملHow to combine text-mining methods to validate induced Verb-Object relations?
This paper describes methods using Natural Language Processing approaches to extract and validate induced syntactic relations (here restricted to the Verb-Object relation). These methods use a syntactic parser and a semantic closeness measure to extract such relations. Then, their validation is based on two different techniques: A Web Validation system on one part, then a Semantic-Vectorbased a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2004