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1
Negative language transfer in learner English: A new dataset ...
NAACL 2021 2021; Demmans Epp, Carrie; Farias Wanderley, Leticia. - : Underline Science Inc., 2021
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2
Generative Imagination Elevates Machine Translation ...
NAACL 2021 2021; Li, Lei; Long, Quanyu. - : Underline Science Inc., 2021
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3
Parallel sentences mining with transfer learning in an unsupervised setting ...
NAACL 2021 2021; Feng, Yifan; Mi, Chenggang. - : Underline Science Inc., 2021
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4
Source and Target Bidirectional Knowledge Distillation for End-to-end Speech Translation ...
NAACL 2021 2021; Inaguma, Hirofumi. - : Underline Science Inc., 2021
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5
Detoxifying Language Models Risks Marginalizing Minority Voices ...
NAACL 2021 2021; Gururangan, Suchin; Klein, Dan. - : Underline Science Inc., 2021
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6
Domain Adaptation for Arabic Cross-Domain and Cross-Dialect Sentiment Analysis from Contextualized Word Embedding ...
NAACL 2021 2021; Berrada, Ismail; El Mahdaouy, Abdelkader. - : Underline Science Inc., 2021
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7
Knowledge Enhanced Masked Language Model for Stance Detection ...
NAACL 2021 2021; Kawintiranon, Kornraphop; Singh, Lisa. - : Underline Science Inc., 2021
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. ...
Keyword: Artificial Intelligence; Computer Science and Engineering; Intelligent System; Natural Language Processing
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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8
Universal Dependencies ...
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9
Frustratingly Easy Edit-based Linguistic Steganography with a Masked Language Model ...
NAACL 2021 2021; Kurohashi, Sadao; Murawaki, Yugo. - : Underline Science Inc., 2021
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10
MelBERT: Metaphor Detection via Contextualized Late Interaction using Metaphorical Identification Theories ...
NAACL 2021 2021; Choi, Minjin; Choi, Eunseong. - : Underline Science Inc., 2021
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11
DirectProbe: Studying Representations without Classifiers ...
NAACL 2021 2021; Srikumar, Vivek; Zhou, Yichu. - : Underline Science Inc., 2021
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12
Challenging distributional models with a conceptual network of philosophical terms ...
NAACL 2021 2021; Bloem, Jelke; Fokkens, Antske. - : Underline Science Inc., 2021
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13
Modeling the Severity of Complaints in Social Media ...
NAACL 2021 2021; Aletras, Nikolaos; Jin, Mali. - : Underline Science Inc., 2021
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14
ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language Understanding ...
NAACL 2021 2021; Li, Yu-Kun; Xiao, Dongling. - : Underline Science Inc., 2021
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15
Proteno: Text Normalization with Limited Data for Fast Deployment in Text to Speech Systems ...
NAACL 2021 2021; Tyagi, Shubhi. - : Underline Science Inc., 2021
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16
CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems ...
NAACL 2021 2021; Chawla, Kushal; Clever, Rene. - : Underline Science Inc., 2021
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17
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning ...
NAACL 2021 2021; Bansal, Mohit; Saha, Swarnadeep. - : Underline Science Inc., 2021
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18
Modeling Framing in Immigration Discourse on Social Media ...
NAACL 2021 2021; Budak, Ceren; Jurgens, David. - : Underline Science Inc., 2021
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19
Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve ...
NAACL 2021 2021; Agarwal, Oshin; Nenkova, Ani. - : Underline Science Inc., 2021
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20
SPLAT: Speech-Language Joint Pre-Training for Spoken Language Understanding ...
NAACL 2021 2021; ., Michael; Zhu, Chenguang. - : Underline Science Inc., 2021
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