Linking FrameNet to the Suggested Upper Merged Ontology (original) (raw)

Ontological Analysis of FrameNet for Natural Language Reasoning

In recent years, the NLP research has shown that semantic knowledge plays an important role in solving tasks which require reasoning, such as question answering, information extraction etc. Much attention has been paid to the development of the lexicalsemantic resources. Two of these resources, namely WordNet (http://wordnet. princeton. edu) and FrameNet (http://framenet. icsi. berkeley. edu), have been widely involved in various NLP systems. FrameNet (FN) has a shorter history in applications than WordNet, but lately ...

Data-driven and ontological analysis of framenet for natural language reasoning

2010

This paper focuses on the improvement of the conceptual structure of FrameNet for the sake of applying this resource to knowledgeintensive NLP tasks requiring reasoning, such as question answering, information extraction etc. Ontological analysis supported by data-driven methods is used for axiomatizing, enriching and cleaning up frame relations. The impact of the achieved axiomatization is investigated on recognizing textual entailment.

Building a computational lexicon and ontology with framenet

2004

This paper explores FrameNet as a resource for building a lexicon for deep syntactic and semantic parsing with a practical multipledomain parser. The TRIPS parser is a wide-coverage parser which uses a domain-independent ontology to produce semantic interpretations in 5 different application domains. We show how semantic information from FrameNet can be useful for developing a domainindependent ontology. While we used FrameNet as a starting point for our ontology development, we were unable to use FrameNet directly because it does not have links between syntax and semantics, and is not designed to include selectional restrictions. We discuss changes that needed to be made to the FrameNet frame structure to convert it to our domain-independent LF Ontology, the additions we made to FrameNet lexicon, and the resulting differences between the systems.

FrameNet Meets the Semantic Web: Lexical Semantics for the Web

Lecture Notes in Computer Science, 2003

This paper describes FrameNet [9,1,3], an online lexical resource for English based on the principles of frame semantics [5,7,2]. We provide a data category specification for frame semantics and FrameNet annotations in an RDF-based language. More specifically, we provide an RDF markup for lexical units, defined as a relation between a lemma and a semantic frame, and frame-to-frame relations, namely Inheritance and Subframes. The paper includes simple examples of FrameNet annotated sentences in an XML/RDF format that references the project-specific data category specification. Frame Semantics and the FrameNet Project FrameNet's goal is to provide, for a significant portion of the vocabulary of contemporary English, a body of semantically and syntactically annotated sentences from which reliable information can be reported on the valences or combinatorial possibilities of each item included. A semantic frame is a script-like structure of inferences, which are linked to the meanings of linguistic units (lexical items). Each frame identifies a set of frame elements (FEs), which are frame-specific semantic roles (participants, props, phases of a state of affairs). Our description of each lexical item identifies the frames which underlie a given meaning and the ways in which the FEs are realized in structures headed by the word. The FrameNet database documents the range of semantic and syntactic combinatory possibilities (valences) of each word in each of its senses, through manual annotation of example sentences and automatic summarization of the resulting annotations. FrameNet I focused on governors, meaning that for the most part, annotation was done in respect to verbs; in FrameNet II, we have been annotating in respect to governed words as well. The FrameNet database is available in XML, and can be displayed and queried via the web and other interfaces. FrameNet data has also been translated into the DAML+OIL extension to XML and the Resource Description Framework (RDF). This paper will explain the theory behind FrameNet, briefly discuss the annotation process, and then describe how the FrameNet data can be represented in RDF, using DAML+OIL, so that researchers on the semantic web can use the data.

µ-Ontologies: integration of frame semantics and ontological semantics

2008

Today FrameNeta-a state-of-the-art implementation of frame semantics-provides one of the best insights into lexical semantics and their interaction with the syntactic structure of the sentence. The main limitation of the current implementation is the insufficient level of formalization of frame descriptions, making it unsuitable for automatic text annotation without human supervision. Meanwhile, FrameNet usability would greatly benefit from more rigorous formalization and the consequential possibility for automatic annotation. Previous attempts at formalization have focused on enforcing strict ontological control of the semantic types for the frame fillers-despite their insignificant use-due to high ambiguity-in the actual FrameNet. We propose a different approach relying on representation of FrameNet as a 4D multidimensional ontology that allows capturing of the precedent. knowledge encoded in the manually annotated texts, like FrameNet's full-text annotation reports. This allo...

Ontology-based reasoning about lexical resources

2006

Reasoning about natural language most prominently requires combining semantically rich lexical resources with world knowledge, provided by ontologies. Therefore, we are building bindings from FrameNet-a lexical resource for English-to various ontologies depending on the application at hand. In this paper we show the first step toward such bindings: We translate FrameNet to the Web Ontology Language OWL DL. That way, FrameNet and its annotations become available to Description Logic reasoners and other OWL tools. In addition, FrameNet annotations can provide a high-quality lexicalization of the linked ontologies.

Logic Programming Infrastructure for Inferences on FrameNet

2004

The growing size of electronically available text corpora like companies' intranets or the WWW has made information access a hot topic within Computational Linguistics. Despite the success of statistical or keyword based methods, deeper Knowledge Representation (KR) techniques along with "inference" are often mentioned as mandatory, e.g. within the Semantic Web context, to enable e.g. better query answering based on "semantical" information. In this paper we try to contribute to the open question how to operationalize semantic information on a larger scale. As a basis we take the frame structures of the Berkeley FrameNet II project, which is a structured dictionary to explain the meaning of words from a lexicographic perspective. Our main contribution is a transformation of the FrameNet II frames into the answer set programming paradigm of logic programming. Because a number of different reasoning tasks are subsumed under "inference" in the context of natural language processing, we emphasize the flexibility of our transformation. Together with methods for automatic annotation of text documents with frame semantics which are currently developed at various sites, we arrive at an infrastructure that supports experimentation with semantic information access as is currently demanded for.

FrameNet Meets the Semantic Web: A DAML+OIL Frame Representation

2002

The Berkeley FrameNet Project ) (URL: http:// framenet.icsi.berkeley.edu/˜framenet) is creating an online lexical resource for English, based on the principles of Frame Semantics and supported by corpus evidence. A semantic frame is a script-like structure of inferences, which are linked to the meanings of linguistic units (lexical items). Each frame identifies a set of frame elements (FEs), which are framespecific semantic roles (participants, props, phases of a state of affairs). Our description of each lexical item identifies the frames which underlie a given meaning and the ways in which the FEs are realized in structures headed by the word. The FrameNet database documents the range of semantic and syntactic combinatory possibilities (valences) of each word in each of its senses, through manual annotation of example sentences and automatic summarization of the resulting annotations. The FrameNet database is available in XML, and can be displayed and queried via the web and other interfaces. The FrameNet I data has also been translated into the DAML+OIL extension to XML and the Resource Description Framework (RDF), which can represent our ontologies and to make FrameNet information machine readable and understandable. We have developed an automatic translator from FrameNet 1 data in XML to DAML+OIL; this paper reports on our representation of this data in DAML+OIL.

FrameNet: A Knowledge Base for Natural Language Processing

Proceedings of Frame Semantics in NLP: A Workshop in Honor of Chuck Fillmore (1929-2014), 2014

Prof. Charles J. Fillmore had a lifelong interest in lexical semantics, and this culminated in the latter part of his life in a major research project, the FrameNet Project at the International Computer Science Institute in Berkeley, California (http://framenet. icsi.berkeley.edu). This paper reports on the background of this ongoing project, its connections to Fillmore's other research interests, and briefly outlines applications and current directions of growth for FrameNet, including FrameNets in languages other than English.