Results 61 to 70 of about 298 (213)
Effective Distant Supervision for Temporal Relation Extraction
CoRR, 2020 A principal barrier to training temporal relation extraction models in new domains is the lack of varied, high quality examples and the challenge of collecting more. We present a method of automatically collecting distantly-supervised examples of temporal relations.
Xinyu Zhao, Shih-Ting Lin, Greg Durrett
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A Distant Supervision Approach to Semantic Role Labeling [PDF]
Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics, 2015 Semanticrolelabelinghasbecomeakeymodule for many language processing applications such as question answering, information extraction, sentiment analysis, and machine translation. To build an unrestricted semantic role labeler, the first step is to develop a comprehensive proposition bank.
Peter Exner, Marcus Klang, Pierre Nugues
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Distant Supervision for Tweet Classification Using YouTube Labels
Proceedings of the International AAAI Conference on Web and Social Media, 2021 We study an approach to tweet classification based on distant supervision, whereby we automatically transfer labels from one social medium to another. In particular, we apply classes assigned to YouTube videos to tweets linking to these videos. This provides for free a virtually unlimited number of labelled instances that can be used as
Magdy W +3 more
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Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Adversarial Learning for Distant Supervised Relation Extraction [PDF]
Computers, Materials & Continua, 2018 Recently, many researchers have concentrated on using neural networks to learn features for Distant Supervised Relation Extraction (DSRE). These approaches generally use a softmax classifier with cross-entropy loss, which inevitably brings the noise of artificial class NA into classification process.
Zeng, Daojian +4 more
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FEBS Letters, EarlyView.Cancer progression is regulated by the dynamic matrix code of the tumor microenvironment, which influences cellular behavior and disease development. Importantly, matrix remodeling in three‐dimensional cancer models more accurately reflects in vivo conditions compared to conventional two‐dimensional systems.
Sylvia Mangani +3 more
wiley +1 more source
IEEE Access, 2019 Distant supervision (DS) has become an efficient approach for relation extraction (RE) to alleviate the lack of labeled examples in supervised learning. In this paper, we propose a novel neural RE model that combines a bidirectional gated recurrent unit ...
Van-Thuy Phi +5 more
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Text Segmentation on Multilabel Documents: A Distant-Supervised Approach [PDF]
2018 IEEE International Conference on Data Mining (ICDM), 2018 Segmenting text into semantically coherent segments is an important task with applications in information retrieval and text summarization. Developing accurate topical segmentation requires the availability of training data with ground truth information at the segment level.
Saurav Manchanda, George Karypis
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Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions
FEBS Letters, EarlyView.The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang +4 more
wiley +1 more source
Improving Distantly Supervised Relation Classification With Attention and Semantic Weight
IEEE Access, 2019 Distantly supervised relation classification aims at identifying the relationship between two given entities and plays an essential part in natural language processing (NLP). Although distant supervision is able to generate labeled data automatically, it
Zhangdong Zhu, Jindian Su, Yang Zhou
doaj +1 more source