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Related Papers

Language as a Latent Variable: Discrete Generative Models for Sentence Compression

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

In this work we explore deep generative mod- els of text in which the latent representation of a document is itself drawn from a discrete language model distribution. We formulate …...

33696

Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractGenerating a long, coherent text such as a paragraph requires a high-level control of different levels of relations between sentences (e.g., tense, coreference). We call such a logical connection between …...

8935

Autoencoding Keyword Correlation Graph for Document Clustering

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractDocument clustering requires a deep understanding of the complex structure of long-text; in particular, the intra-sentential (local) and inter-sentential features (global). Existing representation learning models do not fully capture these …...

37719

Towards Label-Agnostic Emotion Embeddings

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractResearch in emotion analysis is scattered across different label formats (e.g., polarity types, basic emotion categories, and affective dimensions), linguistic levels (word vs. sentence vs. discourse), and, of course, (few …...

30977

Delivering Fairness in Human Resources AI: Mutual Information to the Rescue

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractAutomatic language processing is used frequently in the Human Resources (HR) sector for automated candidate sourcing and evaluation of resumes. These models often use pre-trained language models where it is …...

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