Graph-Based Models

method ID: graphbasedmodels

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Publication: TIPSTER (2014)

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Using the SemEval-2014 Task 8 data, we profile the syntactic tree parsing tech- niques for semantic graph parsing. In par- ticular, we implement different transition- based and graph-based models, as …...

22781

A Lightweight Modeling Middleware for Corpus Processing

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Present-day empirical research in computational or theoretical linguistics has at its disposal an enormous wealth in the form of richly annotated and diverse corpus resources. Especially the points of contact …...

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Back to the Basics: A Quantitative Analysis of Statistical and Graph-Based Term Weighting Schemes for Keyword Extraction

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Publication: TIPSTER (2021)

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AbstractTerm weighting schemes are widely used in Natural Language Processing and Information Retrieval. In particular, term weighting is the basis for keyword extraction. However, there are relatively few evaluation studies …...

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MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning

Authors: nan

Publication: TIPSTER (2022)

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AbstractLogical reasoning is of vital importance to natural language understanding. Previous studies either employ graph-based models to incorporate prior knowledge about logical relations, or introduce symbolic logic into neural models …...

32526