SEMAFOR 1.0: A Probabilistic Frame-Semantic Parser
نویسندگان
چکیده
An elaboration on (Das et al., 2010), this report formalizes frame-semantic parsing as a structure prediction problem and describes an implemented parser that transforms an English sentence into a frame-semantic representation. SEMAFOR 1.0 finds words that evoke FrameNet frames, selects frames for them, and locates the arguments for each frame. The system uses two feature-based, discriminative probabilistic (log-linear) models, one with latent variables to permit disambiguation of new predicate words. The parser is demonstrated to significantly outperform previously published results and is released for public use.
منابع مشابه
SEMAFOR: Frame Argument Resolution with Log-Linear Models
This paper describes the SEMAFOR system’s performance in the SemEval 2010 task on linking events and their participants in discourse. Our entry is based upon SEMAFOR 1.0 (Das et al., 2010a), a frame-semantic probabilistic parser built from log-linear models. The extended system models null instantiations, including non-local argument reference. Performance is evaluated on the task data with and...
متن کاملEvent Extraction as Frame-Semantic Parsing
Based on the hypothesis that frame-semantic parsing and event extraction are structurally identical tasks, we retrain SEMAFOR, a stateof-the-art frame-semantic parsing system to predict event triggers and arguments. We describe how we change SEMAFOR to be better suited for the new task and show that it performs comparable to one of the best systems in event extraction. We also describe a bias i...
متن کاملStudying impressive parameters on the performance of Persian probabilistic context free grammar parser
In linguistics, a tree bank is a parsed text corpus that annotates syntactic or semantic sentence structure. The exploitation of tree bank data has been important ever since the first large-scale tree bank, The Penn Treebank, was published. However, although originating in computational linguistics, the value of tree bank is becoming more widely appreciated in linguistics research as a whole. F...
متن کاملProbabilistic Frame-Semantic Parsing
This paper contributes a formalization of frame-semantic parsing as a structure prediction problem and describes an implemented parser that transforms an English sentence into a frame-semantic representation. It finds words that evoke FrameNet frames, selects frames for them, and locates the arguments for each frame. The system uses two featurebased, discriminative probabilistic (log-linear) mo...
متن کاملHITS at TAC KBP 2015: Entity Discovery and Linking, and Event Nugget Detection
HITS participated in the English Entity Linking and Discovery (EDL) and Event Nugget Detection (EN task 1) tracks at TAC KBP 2015. Our EDL system introduces a novel, interleaved multitasking approach, which allows interaction between interdependent entity linking subtasks while avoiding the structural and algorithmic complexity of joint models. Out of the eight systems that participated in the ...
متن کامل