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Negative language transfer in learner English: A new dataset ...
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Parallel sentences mining with transfer learning in an unsupervised setting ...
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Source and Target Bidirectional Knowledge Distillation for End-to-end Speech Translation ...
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Detoxifying Language Models Risks Marginalizing Minority Voices ...
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Domain Adaptation for Arabic Cross-Domain and Cross-Dialect Sentiment Analysis from Contextualized Word Embedding ...
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Knowledge Enhanced Masked Language Model for Stance Detection ...
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Abstract:
Read the paper on the folowing link: https://www.aclweb.org/anthology/2021.naacl-main.376/ Abstract: Detecting stance on Twitter is especially challenging because of the short length of each tweet, the continuous coinage of new terminology and hashtags, and the deviation of sentence structure from standard prose. Finetuned language models using large-scale in-domain data have been shown to be the new state-of-the-art for many NLP tasks, including stance detection. In this paper, we propose a novel BERT-based fine-tuning method that enhances the masked language model for stance detection. Instead of random token masking, we propose using a weighted log-odds-ratio to identify words with high stance distinguishability and then model an attention mechanism that focuses on these words. We show that our proposed approach outperforms the state of the art for stance detection on Twitter data about the 2020 US Presidential election. ...
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Keyword:
Artificial Intelligence; Computer Science and Engineering; Intelligent System; Natural Language Processing
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URL: https://underline.io/lecture/19690-knowledge-enhanced-masked-language-model-for-stance-detection https://dx.doi.org/10.48448/a5gk-tk54
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Frustratingly Easy Edit-based Linguistic Steganography with a Masked Language Model ...
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MelBERT: Metaphor Detection via Contextualized Late Interaction using Metaphorical Identification Theories ...
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DirectProbe: Studying Representations without Classifiers ...
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Challenging distributional models with a conceptual network of philosophical terms ...
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ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language Understanding ...
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Proteno: Text Normalization with Limited Data for Fast Deployment in Text to Speech Systems ...
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CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems ...
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multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning ...
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Modeling Framing in Immigration Discourse on Social Media ...
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Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve ...
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SPLAT: Speech-Language Joint Pre-Training for Spoken Language Understanding ...
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