Papers by Jacob Louis Hoover

2 papers
Measuring Morphological Fusion Using Partial Information Decomposition (2022.coling-1)

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Challenge: agglutinative and fusional languages have a systematic relationship between meaning and form, but are less systematic when it comes to morphological relations.
Approach: They propose a mathematically precise way of characterizing morphological systems using partial information decomposition.
Outcome: The proposed framework decomposes mutual information into three components: unique, redundant, and synergistic information.
Linguistic Dependencies and Statistical Dependence (2021.emnlp-main)

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Challenge: Existing studies show that pairs of words that occur together are likely to stand in a linguistic dependency.
Approach: They propose to use large pretrained language models to compute contextualized estimates of the pointwise mutual information between words (CPMI)
Outcome: The proposed model maximizes CPMI and achieves an unlabelled undirected attachment score of 0.5 .

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