Contextual Language Models

method ID: contextuallanguagemodels

Related Papers

Unleashing the Power of Neural Discourse Parsers - A Context and Structure Aware Approach Using Large Scale Pretraining

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Publication: TIPSTER (2020)

DOI: nan

AbstractRST-based discourse parsing is an important NLP task with numerous downstream applications, such as summarization, machine translation and opinion mining. In this paper, we demonstrate a simple, yet highly accurate …...

3749

When is a bishop not like a rook? When it’s like a rabbi! Multi-prototype BERT embeddings for estimating semantic relationships

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Publication: TIPSTER (2020)

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AbstractThis paper investigates contextual language models, which produce token representations, as a resource for lexical semantics at the word or type level. We construct multi-prototype word embeddings from bert-base-uncased (Devlin …...

41609

ConRPG: Paraphrase Generation using Contexts as Regularizer

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Publication: TIPSTER (2021)

DOI: nan

AbstractA long-standing issue with paraphrase generation is the lack of reliable supervision signals. In this paper, we propose a new unsupervised paradigm for paraphrase generation based on the assumption that …...

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Scalar Adjective Identification and Multilingual Ranking

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Publication: TIPSTER (2021)

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AbstractThe intensity relationship that holds between scalar adjectives (e.g., nice < great < wonderful) is highly relevant for natural language inference and common-sense reasoning. Previous research on scalar adjective ranking …...

21480

Using Distributional Principles for the Semantic Study of Contextual Language Models

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Publication: TIPSTER (2021)

DOI: nan

Many studies were recently done for investi- gating the properties of contextual language models but surprisingly, only a few of them consider the properties of these models in terms of …...

29412