Semantic Frames

AbstractThe paper aims at providing an overview of the situation of Language Resources (LR) in Europe, in particular as emerging from a few European projects regarding the construction of large-scale …...

This task consists of recognizing words and phrases that evoke semantic frames as defined in the FrameNet project (http: //framenet.icsi.berkeley.edu), and their semantic dependents, which are usually, but not always, …...

AbstractMultilingual terminological resources do not always include the equivalents of specialized verbs that occur in legal texts. This study aims to bridge that gap by proposing a methodology to assign …...

Semantic frames are a rich linguistic re- source. There has been much work on semantic frame parsers, but less that applies them to general NLP problems. We address a task …...

AbstractThis paper proposes a method for discovering semantic frames (Fillmore, 1982, 1985; Fillmore et al., 2003) in specialized domains. It is assumed that frames are especially relevant for capturing the …...

This paper reports the description and scores of our system, FBK-TR, which participated at the SemEval 2014 task #1 "Evaluation of Compositional Distribu- tional Semantic Models on Full Sentences through …...

We present an unsupervised method for in- ducing semantic frames from verb uses in giga-word corpora. Our semantic frames are verb-specific example-based frames that are distinguished according to their senses. …...

AbstractWe present here a general set of semantic frames to annotate causal expressions, with a rich lexicon in French and an annotated corpus of about 5000 instances of causal lexical …...

Persuasive communication is the process of shaping, reinforcing and changing others’ re- sponses. In political debates, speakers ex- press their views towards the debated topics by choosing both the content …...

AbstractFrame semantics is a theory of linguistic meanings, and is considered to be a useful framework for shallow semantic analysis of natural language. FrameNet, which is based on frame semantics, …...

AbstractWe present a successful collaboration of word embeddings and co-training to tackle in the most difficult test case of semantic role labeling: predicting out-of-domain and unseen semantic frames. Despite the …...

This paper presents a pilot project named Cancer FrameNet. The project’s goal is a general-purpose natural language processing (NLP) resource for cancer-related information in clinical notes (i.e., patient records in …...

AbstractLinguistic typology is an area of linguistics concerned with analysis of and comparison between natural languages of the world based on their certain linguistic features. For that purpose, historically, the …...

Contextualized word representations have proven useful for various natural language pro- cessing tasks. However, it remains unclear to what extent these representations can cover hand-coded semantic information such as se- …...

AbstractIn multi-turn dialog understanding, semantic frames are constructed by detecting intents and slots within each user utterance. However, recent works lack the capability of modeling multi-turn dynamics within a dialog …...