Open-source Frame Semantic Parsing

Chanin, David

arXiv.org Artificial Intelligence 

Frame semantic parsing (Gildea and Jurafsky, 2002) is a natural language understanding (NLU) task involving finding structured semantic frames and their arguments from natural language text as formalized by the FrameNet project (Baker et al., 1998). Frame semantics has proved useful in understanding user intent from text, finding use in modern voice assistants (Chen et al., 2019), dialog systems (Chen et al., 2013), and even text analysis (Zhao et al., 2023). A semantic frame in FrameNet describes an event, relation, or situation and its participants. When a frame occurs in a sentence, there is typically a "trigger" word in the sentence which is said to evoke the frame. In addition, a frame contains a list of arguments known as frame elements which describe the semantic roles that pertain to the frame. A sample sentence parsed for frame and frame elements is shown in Figure 1. FrameNet provides a list of lexical units (LUs) for each frame, which are word senses with may evoke the frame when they occur in a sentence. For instance, the frame "Attack" has lexical units "ambush.n",

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