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natural-language-processing-9

Predicate Detection

3260 papers • 126 benchmarks • 313 datasets

Detecting predicates in sentences. Semantic frames are defined with respect to predicates. This task is a prerequisite to semantic role labeling.

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CoNLL 2005

Product Reviews 2017

CoNLL 2012

Libraries

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CoNLL

CoNLL-2012

Product Reviews 2017

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Most implemented papers

Linguistically-Informed Self-Attention for Semantic Role Labeling

Emma Strubell, A. McCallum, D. Andor, David Weiss, Pat Verga•Sun Apr 22 2018

LISA is a neural network model that combines multi-head self-attention with multi-task learning across dependency parsing, part-of-speech tagging, predicate detection and SRL, and can incorporate syntax using merely raw tokens as input.

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CoNLL 2012

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Representing Prior Knowledge Using Randomly, Weighted Feature Networks for Visual Relationship Detection

Jinyung Hong, Theodore P. Pavlic•Fri Nov 19 2021

RWFNs are used to perform Visual Relationship Detection tasks, which are more challenging SII tasks and show that RWFNs outperform LTNs for the predicate-detection task while using fewer number of adaptable parameters (1:56 ratio).

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Weighted Training for Cross-Task Learning

Dan Roth, Shuxiao Chen, K. Crammer, Han He, Weijie Su•Thu May 27 2021

Target-Aware Weighted Training is introduced, a weighted training algorithm for cross-task learning based on minimizing a representation-based task distance between the source and target tasks that allows one to reason in a theoretically principled way about several critical aspects of cross- task learning.

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Contextualized Semantic Distance between Highly Overlapped Texts

Z. Li, Letian Peng, Hai Zhao•Sun Oct 03 2021

An unsupervised and training-free method for text compression, leading to a significant improvement on the previous perplexity-based method, and the high scalability of the method enables NDD to outperform the supervised state-of-the-art in domain adaption by a huge margin.

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A Novel Metric for Evaluating Semantics Preservation

Letian Peng, Hai Zhao, Zuchao Li•Thu Dec 31 2020

ND-based algorithm based on Neighboring Distribution (NDD) forms previous perplexity-based unsupervised algorithm by a large margin and is exploited for extractive sentence compression.

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Self-Supervised Learning for Visual Relationship Detection through Masked Bounding Box Reconstruction

S. Kollias, Zacharias Anastasakis, Dimitrios Mallis, Markos Diomataris, George Alexandridis, Vassilis Pitsikalis•Tue Nov 07 2023

A novel self-supervised approach for representation learning, particularly for the task of Visual Relationship Detection (VRD), which is able to surpass state-of-the-art VRD methods on the Predicate Detection (PredDet) evaluation setting, using only a few annotated samples.

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Predicate Detection | State-of-the-Art