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SEAGLE: A platform for comparative evaluation of semantic encoders for information retrieval
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Unsupervised Cross-Lingual Information Retrieval using Monolingual Data Only ...
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Unsupervised Cross-Lingual Information Retrieval Using Monolingual Data Only ...
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Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction ...
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Abstract:
We present a detailed theoretical and computational analysis of the Watset meta-algorithm for fuzzy graph clustering, which has been found to be widely applicable in a variety of domains. This algorithm creates an intermediate representation of the input graph that reflects the "ambiguity" of its nodes. Then, it uses hard clustering to discover clusters in this "disambiguated" intermediate graph. After outlining the approach and analyzing its computational complexity, we demonstrate that Watset shows competitive results in three applications: unsupervised synset induction from a synonymy graph, unsupervised semantic frame induction from dependency triples, and unsupervised semantic class induction from a distributional thesaurus. Our algorithm is generic and can be also applied to other networks of linguistic data. ... : 58 pages, 17 figures, accepted at the Computational Linguistics journal ...
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Keyword:
68T50; Computation and Language cs.CL; FOS Computer and information sciences; I.2.7
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URL: https://dx.doi.org/10.48550/arxiv.1808.06696 https://arxiv.org/abs/1808.06696
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An Unsupervised Word Sense Disambiguation System for Under-Resourced Languages ...
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Enriching Frame Representations with Distributionally Induced Senses ...
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A Resource-Light Method for Cross-Lingual Semantic Textual Similarity ...
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Unsupervised Cross-Lingual Information Retrieval Using Monolingual Data Only
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Investigating the role of argumentation in the rhetorical analysis of scientific publications with neural multi-task learning models
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Automatic detection of uncertain statements in the financial domain
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UniMa at SemEval-2018 Task 7 : semantic relation extraction and classification from scientific publications
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An unsupervised word sense disambiguation system for under-resourced languages
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A resource-light method for cross-lingual semantic textual similarity
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Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation ...
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