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08/19/2023
Eva-KELLM: A New Benchmark for Evaluating Knowledge Editing of LLMs
Large language models (LLMs) possess a wealth of knowledge encoded in th...
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06/08/2023
Actively Supervised Clustering for Open Relation Extraction
Current clustering-based Open Relation Extraction (OpenRE) methods usual...
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06/08/2023
RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction
Semantic matching is a mainstream paradigm of zero-shot relation extract...
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03/01/2023
How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks
The GPT-3.5 models have demonstrated impressive performance in various N...
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10/16/2022
Improving Semantic Matching through Dependency-Enhanced Pre-trained Model with Adaptive Fusion
Transformer-based pre-trained models like BERT have achieved great progr...
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08/29/2022
NL2GDPR: Automatically Develop GDPR Compliant Android Application Features from Natural Language
The recent privacy leakage incidences and the more strict policy regulat...
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02/19/2022
Label-Smoothed Backdoor Attack
By injecting a small number of poisoned samples into the training set, b...
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03/21/2021
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing
Various robustness evaluation methodologies from different perspectives ...
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12/14/2020
Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling
In a customer service system, dialogue summarization can boost service e...
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09/18/2019
Weighed Domain-Invariant Representation Learning for Cross-domain Sentiment Analysis
Cross-domain sentiment analysis is currently a hot topic in the research...
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08/16/2019
Simplify the Usage of Lexicon in Chinese NER
Recently, many works have tried to utilizing word lexicon to augment the...
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06/04/2019
Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning
In this work, we explore the way to perform named entity recognition (NE...
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05/29/2019
Learning Task-specific Representation for Novel Words in Sequence Labeling
Word representation is a key component in neural-network-based sequence ...
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05/29/2019
Address Instance-level Label Prediction in Multiple Instance Learning
Multiple Instance Learning (MIL) is concerned with learning from bags of...
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11/09/2018
