Background to Framenet

By Charles J. Fillmore, Christopher R. Johnson, Miriam R. L. Petruck. 2003

868 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/dc5c74ca0e6b71fa723351a376bbfb650871fef0

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In Artificial Intelligence

Citations in the corpus

Resource Interoperability for Sustainable Benchmarking: The Case of Events (2018, methodology): “The full-text annotations in FrameNet (ICSI Berkeley, 2017) capture the frame semantic structures as deﬁned in its lexical database (Fillmore et al., 2003).”
How to marry a star: Probabilistic constraints for meaning in context (2020, methodology): “This can be done by using FrameNet frames (Fillmore et al. 2003) as concepts, doing automatic frame-semantic parsing (Xia et al. 2021) on corpus data and counting co-occurrences of the resulting frames.”
Semi-Supervised Semantic Role Labeling (2009, methodology): “Resources like FrameNet (Fillmore et al., 2003) and PropBank (Palmer et al.”
CoNLL-2011 Shared Task: Modeling Unrestricted Coreference in OntoNotes (2011, background): “There is also a mapping from the word senses to the PropBank frames and to VerbNet (Kipper et al., 2000) and FrameNet (Fillmore et al., 2003).”
Using subcategorization knowledge to improve case prediction for translation to German (2013, background): “On the one hand, this has led to a range of manually or semi-automatically developed lexical resources focusing on verb information, such as the Levin classes (Levin, 1993), VerbNet (Kip-per Schuler, 2006), FrameNet 4 (Fillmore et al., 2003), and PropBank (Palmer et al., 2005).”
Semantic Frame Identification with Distributed Word Representations (2014, methodology): “First, we show that for frame identiﬁcation on the FrameNet corpus (Baker et al., 1998; Fillmore et al., 2003), we outperform the prior state of the art (Das et al., 2014).”
SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals (2009, background): “Lexical resources for theories of semantic roles such as FrameNet (Fillmore et al., 2003) and PropBank (Palmer et al., 2005) have been developed to describe the linguistic realization patterns of events and states.”
Situation Recognition: Visual Semantic Role Labeling for Image Understanding (2016, methodology): “However, we can draw inspiration from the way verbs are used in the English language by building on FrameNet [14], a linguist-authored verb lexicon.”
Semantic Frames to Predict Stock Price Movement (2013, background): “FrameNet is a rich lexical resource (Fillmore et al., 2003), based on the theory of frame semantics (Fillmore, 1976).”
Computing EM-based Alignments of Routes and Route Directions as a Basis for Natural Language Generation (2010, methodology): “Additionally, we annotated frame-semantic markup (Fillmore et al., 2003) and gold standard alignments to the route representation us-ing the SALTO annotation tool (Burchardt et al., 2006).”
Frame-Semantic Parsing (2014, background): “The FrameNet lexicon (Fillmore, Johnson, and Petruck 2003) contains rich linguistic information about lexical items and predicate-argument structures.”
Rank learning for factoid question answering with linguistic and semantic constraints (2010, methodology): “Furthermore, the Shen, et. al., model does not allow for variation of the predicate verb except along the FrameNet inheritance hierarchy.”
CoNLL-2012 Shared Task: Modeling Multilingual Unrestricted Coreference in OntoNotes (2012, methodology): “There is also a mapping from the OntoNotes word senses to PropBank frames and to VerbNet (Kipper et al., 2000) and FrameNet (Fillmore et al., 2003).”
Determining the structure of lexical entries and grammatical constructions in Construction Grammar (2008, methodology): “The Berkeley FrameNet project ( Fillmore et al., 2003, http://framenet.icsi.berkeley.ed u) has already made some significant steps in this direction.”
Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework (2017, background): “The FN+ dataset In Frame Semantics (Fillmore et al., 2003), the primary unit of lexical analysis is the frame , which captures the central properties of a concept, situation, or event.”