FrameNet itself can become a resource for the Semantic Web. It can be represented in RDF. However, mapping FrameNet to other resources such as Wikipedia for building a knowledge base becomes more common practice. By such mapping, FrameNet can be considered to provide capability to describe the semantic relations between RDF data. Since the FrameNet resource has been proven very useful, multiple...

Unlike knowledge representation in modal logic, human tends to introduce new modalities on ad hoc basis in communication. Similar challenges arise from applications of distributed computing and hybrid systems that involve several time domains. This paper presents a parameterized approach for algebraic manipulation of modalities. Each pair of modalities of possibility and necessity is determined...

This paper tackles the problem of semi-supervised video object segmentation, that is, segmenting an object in a sequence given its mask in the first frame. One of the main challenges in this scenario is the change of appearance of the objects of interest. Their semantics, on the other hand, do not vary. This paper investigates how to take advantage of such invariance via the introduction of a s...

This paper describes the construction of a linguistic knowledge base using Frame Semantics, instantiated with Chinese Verbs imported from the Chinese-English Bilingual Ontological WordNet (BOW). The goal is to use this knowledge base to assist with semantic role labeling. This is accomplished through the mapping of FrameNet and WordNet and a novel verb selection restriction using both the WordN...

This paper illustrates relevant details of an on-going semantic-role annotation work based on a framework called MULTILAYERED/DIMENSIONAL SEMANTIC FRAME ANALYSIS (MSFA for short) (Kuroda and Isahara, 2005b), which is inspired by, if not derived from, Frame Semantics/Berkeley FrameNet approach to semantic annotation (Lowe et al., 1997; Johnson and Fillmore, 2000).

The Berkeley FrameNet project aims at implementing Fillmore’s Frame Semantics program on a broad empirical basis. The syntactic environments of words in corpora are systematically aligned with the semantic frames evoked by the words. It is Fillmore’s vision that such a collection of valency data can pave the way for an empirically grounded theory of the syntax-semantics interface. In this artic...

We present a novel automatic approach to constructing a bilingual semantic network—the BiFrameNet, to enhance statistical and transfer-based machine translation systems. BiFrameNet is a frame semantic representation, and contains semantic structure transfers between English and Chinese. The English FrameNet and the Chinese HowNet provide us with two different views of the semantic distribution ...

Qualitative Process theory provides a formal representation for human-like models of continuous processes. Prior research mapped qualitative process elements onto English language constructions, but did not connect the representations to existing frame semantic resources. Here we identify and classify QP language constituents through their instantiation in FrameNet frames to provide a unified s...

The aim of this paper is to present some findings from a study into how a large scale semantic resource, FrameNet, can be applied for event extraction in the (Swedish) biomedical domain. Combining lexical resources with domain specific knowledge provide a powerful modeling mechanism that can be utilized for event extraction and other advanced text miningrelated activities. The results, from dev...

Knowledge bases have the potential to advance artificial intelligence, but often suffer from recall problems, i.e., lack of knowledge of new entities and relations. On the contrary, social media such as Twitter provide abundance of data, in a timely manner: information spreads at an incredible pace and is posted long before it makes it into more commonly used resources for knowledge extraction....