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Word Sense Disambiguation for 158 Languages using Word Embeddings Only ...
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Graphs, Computation, and Language ...
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Abstract:
Graphs and networks offer a convenient way to study systems around us, including such complex ones as human language. Graph-based representations are proven to be an effective approach for a wide variety of Natural Language Processing (NLP) tasks. In this course we will seek answers to three questions: (1) how to express the linguistic phenomena as graphs , (2) how to gain knowledge based on them , and (3) how to assess the quality of this knowledge . Since most methods described in this course are unsupervised, a special attention is paid to their thorough assessment using both automatic metrics and human judgements, including crowdsourcing. The target audience of this course are advanced graduate students, data analysts, and researchers in NLP and IR (but it is not limited to them). Graph clustering allows to extract useful knowledge by exploiting the implicit structure of the data. In this lecture we will introduce the problem of non-overlapping and overlapping graph clustering. We will demonstrate and ...
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Keyword:
clustering; crowdsourcing; evaluation; graph theory; language resources; lecture; natural language processing; quality control; tutorial
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URL: https://zenodo.org/record/4291121 https://dx.doi.org/10.5281/zenodo.4291121
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TextGraphs 2020 Shared Task on Multi-Hop Inference for Explanation Regeneration ...
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Datasets for Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction ...
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Datasets for Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction ...
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HHMM at SemEval-2019 Task 2: Unsupervised frame induction using contextualized word embeddings
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Watset: Local-global graph clustering with applications in sense and frame induction
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RUSSE'2018: A Shared Task on Word Sense Induction for the Russian Language ...
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Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction ...
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RUSSE: The First Workshop on Russian Semantic Similarity ...
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An Unsupervised Word Sense Disambiguation System for Under-Resourced Languages ...
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RUSSE'2018: Human-Annotated Sense-Disambiguated Word Contexts for Russian ...
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RUSSE'2018: Human-Annotated Sense-Disambiguated Word Contexts for Russian ...
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An unsupervised word sense disambiguation system for under-resourced languages
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RUSSE'2018 : a shared task on word sense induction for the Russian language
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