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111
Outsourcing FrameNet to the Crowd
"... We present the first attempt to perform full FrameNet annotation with crowdsourcing techniques. We compare two approaches: the first one is the standard annotation methodology of lexical units and frame elements in two steps, while the second is a novel approach aimed at acquiring frames in a bottom ..."
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Cited by 2 (1 self)
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We present the first attempt to perform full FrameNet annotation with crowdsourcing techniques. We compare two approaches: the first one is the standard annotation methodology of lexical units and frame elements in two steps, while the second is a novel approach aimed at acquiring frames in a
FrameNet and Pattern Grammar
"... This paper compares two approaches to consistency of form and meaning in naturallyoccurring text. Framenet begins with groups of words that share meaning, examines their recurrent co-text, identifies frame elements and notes the mapping of element on to cotext. Pattern Grammar begins with recurring ..."
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et al (1996) shares a meaning group with SUFFER from. The two word-pattern combinations are identified as similar because they share the pattern V from n. Framenet identifies a frame ‘recovery’, with the core semantic roles ‘patient’, ‘affliction ’ and ‘body part’, whereas SUFFER belongs
A FrameNet for Danish
"... This paper presents work on a comprehensive FrameNet for Danish (cf. www.framenet.dk), with over 12.000 frames, and an almost com-plete coverage of Danish verb lemmas. We discuss design principles and frame roles as well as the distinctional use of valency, syn-tactic function and semantic noun clas ..."
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This paper presents work on a comprehensive FrameNet for Danish (cf. www.framenet.dk), with over 12.000 frames, and an almost com-plete coverage of Danish verb lemmas. We discuss design principles and frame roles as well as the distinctional use of valency, syn-tactic function and semantic noun
The Dependency-Parsed FrameNet Corpus
"... When training semantic role labeling systems, the syntax of example sentences is of particular importance. Unfortunately, for the FrameNet annotated sentences, there is no standard parsed version. The integration of the automatic parse of an annotated sentence with its semantic annotation, while con ..."
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When training semantic role labeling systems, the syntax of example sentences is of particular importance. Unfortunately, for the FrameNet annotated sentences, there is no standard parsed version. The integration of the automatic parse of an annotated sentence with its semantic annotation, while
Encoding of Compounds in Swedish FrameNet
"... Constructing a lexical resource for Swedish, where compounding is highly productive, requires a well-structured policy of encoding. This paper presents the treatment and encoding of a certain class of compounds in Swedish FrameNet, and proposes a new approach for the au-tomatic analysis of Swedish c ..."
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compounds, i.e. one that leverages existing FrameNet (Ruppenhofer et al., 2010) and Swedish FrameNet (Borin et al. 2010), as well as proven techniques for automatic semantic role labeling (Johansson et al., 2012). 1
Knowledge Discovering using FrameNet,
"... Abstract. In this paper, we present a high accurate system for FrameNet semantic role classification based on the innovative features derived from a combined use of FrameNet, VerbNet and PropBank. The main prop-erty of our approach is a unified view of the above three resources which is theoreticall ..."
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Abstract. In this paper, we present a high accurate system for FrameNet semantic role classification based on the innovative features derived from a combined use of FrameNet, VerbNet and PropBank. The main prop-erty of our approach is a unified view of the above three resources which
Semantic Parsing based on FrameNet
- In Proceedings of ACL-SENSEVAL workshop on the Evaluation of Systems for the Semantic Analysis of Text
, 2004
"... This paper describes our method based on Support Vector Machines for automatically assigning semantic roles to constituents of English sentences. This method employs four different feature sets, one of which being first reported herein. The combination of features as well as the extended training da ..."
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Cited by 2 (1 self)
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This paper describes our method based on Support Vector Machines for automatically assigning semantic roles to constituents of English sentences. This method employs four different feature sets, one of which being first reported herein. The combination of features as well as the extended training
Sequential Tagging of Semantic Roles on Chinese FrameNet
"... In this paper, semantic role labeling(SRL) on Chinese FrameNet is divided into the subtasks of boundary identification(BI) and semantic role classification(SRC). These subtasks are regarded as the sequential tagging problem at the word level, respectively. We use the conditional random fields(CRFs) ..."
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In this paper, semantic role labeling(SRL) on Chinese FrameNet is divided into the subtasks of boundary identification(BI) and semantic role classification(SRC). These subtasks are regarded as the sequential tagging problem at the word level, respectively. We use the conditional random fields
SemanticRole Labeling with the Swedish FrameNet
"... Wepresent the first results onsemantic role labeling using the SwedishFrameNet, whichis a lexical resource currently indevelopment. Several aspects of the taskare investigated, including the selection of machine learning features, the effect of choice of syntactic parser, and the ability of the syst ..."
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Wepresent the first results onsemantic role labeling using the SwedishFrameNet, whichis a lexical resource currently indevelopment. Several aspects of the taskare investigated, including the selection of machine learning features, the effect of choice of syntactic parser, and the ability
Preposition Semantic Classification via TREEBANK and FRAMENET
- SUBMITTED TO 41ST ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2003), SAPPORO, JAPAN
, 2003
"... This paper reports on experiments in classifying the semantic role annotations assigned to prepositional phrases in both PENN TREEBANK (version II) and FRAMENET (version 0.75). In both cases, experiments are done to see how the prepositions can be classified given the dataset’s role inventory, using ..."
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Cited by 13 (0 self)
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This paper reports on experiments in classifying the semantic role annotations assigned to prepositional phrases in both PENN TREEBANK (version II) and FRAMENET (version 0.75). In both cases, experiments are done to see how the prepositions can be classified given the dataset’s role inventory
Results 1 - 10
of
111