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08/29/2023
Improving Neural Ranking Models with Traditional IR Methods
Neural ranking methods based on large transformer models have recently g...
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08/07/2023
A Cross-Domain Evaluation of Approaches for Causal Knowledge Extraction
Causal knowledge extraction is the task of extracting relevant causes an...
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02/26/2022
A Generative Model for Relation Extraction and Classification
Relation extraction (RE) is an important information extraction task whi...
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10/16/2020
Cross-Lingual Relation Extraction with Transformers
Relation extraction (RE) is one of the most important tasks in informati...
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09/15/2020
Cascaded Models for Better Fine-Grained Named Entity Recognition
Named Entity Recognition (NER) is an essential precursor task for many n...
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09/15/2020
Event Presence Prediction Helps Trigger Detection Across Languages
The task of event detection and classification is central to most inform...
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11/19/2019
Towards Lingua Franca Named Entity Recognition with BERT
Information extraction is an important task in NLP, enabling the automat...
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10/31/2019
Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping
Relation extraction (RE) seeks to detect and classify semantic relations...
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07/12/2019
Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning
Generalized zero-shot learning (GZSL) is a challenging class of vision a...
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07/08/2017
Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection
The state-of-the-art named entity recognition (NER) systems are supervis...
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07/08/2017
Improving Multilingual Named Entity Recognition with Wikipedia Entity Type Mapping
The state-of-the-art named entity recognition (NER) systems are statisti...
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04/25/2012
