Superior Performance

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Unsupervised Information Extraction Approach Using Graph Mutual Reinforcement

Authors: nan

Publication: TIPSTER (2006)

DOI: nan

Information Extraction (IE) is the task of extracting knowledge from unstructured text. We present a novel unsupervised approach for information extraction based on graph mutual reinforcement. The proposed approach does …...

44735

Supervised Models for Coreference Resolution

Authors: nan

Publication: TIPSTER (2009)

DOI: nan

Traditional learning-based coreference re- solvers operate by training a mention- pair classifier for determining whether two mentions are coreferent or not. Two in- dependent lines of recent research have attempted …...

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Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractWe study the problem of training named entity recognition (NER) models using only distantly-labeled data, which can be automatically obtained by matching entity mentions in the raw text with entity …...

30732

LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractIn this paper, we propose LaPraDoR, a pretrained dual-tower dense retriever that does not require any supervised data for training. Specifically, we first present Iterative Contrastive Learning (ICoL) that iteratively …...

32521