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Found 9 papers, 0 papers with code
AutoAspect: Automatic Annotation of Tense and Aspect for Uniform Meaning Representations
The annotation tool combines syntactic and semantic cues to assign aspects on a sentence-by-sentence basis, following a sequence of rules that each output a UMR aspect.
Contrast Sets for Stativity of English Verbs in Context
For the task of classifying verbs in context as dynamic or stative, current models approach human performance, but only for particular data sets.
My Case, For an Adposition: Lexical Polysemy of Adpositions and Case Markers in Finnish and Latin
Adpositions and case markers contain a high degree of polysemy and participate in unique semantic role configurations.
Imageless Contraband Detection Using a Millimeter-Wave Dynamic Antenna Array via Spatial Fourier Domain Sampling
We demonstrate an imageless method of concealed contraband detection using a real-time 75 GHz rotationally dynamic antenna array.
Semi-automated extraction of research topics and trends from NCI funding in radiological sciences from 2000-2020
Investigators, funders, and the public desire knowledge on topics and trends in publicly funded research but current efforts in manual categorization are limited in scale and understanding.
Explicitly Solvable Continuous-time Inference for Partially Observed Markov Processes
Many natural and engineered systems can be modeled as discrete state Markov processes.
Quantum-Inspired Classical Algorithm for Principal Component Regression
In this work, we developed an algorithm for principal component regression that runs in time polylogarithmic to the number of data points, an exponential speed up over the state-of-the-art algorithm, under the mild assumption that the input is given in some data structure that supports a norm-based sampling procedure.
Linguist vs. Machine: Rapid Development of Finite-State Morphological Grammars
Sequence-to-sequence models have proven to be highly successful in learning morphological inflection from examples as the series of SIGMORPHON/CoNLL shared tasks have shown.
Information Acquisition and Time-Risk Preference
An agent acquires information dynamically until her belief about a binary state reaches an upper or lower threshold.
