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The 2021 Conference on Empirical Methods in Natural Language Processing 2021 (281)
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Hits 1 – 20 of 281
1
Automatic Error Type Annotation for Arabic ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Belkebir, Riadh
;
Habash, Nizar
. - : Underline Science Inc., 2021
BASE
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2
Navigating the Kaleidoscope of COVID-19 Misinformation Using Deep Learning ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Chen, Yuanzhi
;
Hasan, Mohammad
. - : Underline Science Inc., 2021
BASE
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3
HittER: Hierarchical Transformers for Knowledge Graph Embeddings ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Chen, Sanxing
;
Gao, Jianfeng
. - : Underline Science Inc., 2021
BASE
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4
Detecting Gender Bias using Explainability ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
., Krithika
;
Gupta, Gauri
. - : Underline Science Inc., 2021
BASE
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5
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
He, Lifang
;
LIU, YE
. - : Underline Science Inc., 2021
BASE
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6
Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Ong, Desmond
;
Suresh, Varsha
. - : Underline Science Inc., 2021
BASE
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7
Contrastive Code Representation Learning ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Jain, Ajay
;
Jain, Paras
. - : Underline Science Inc., 2021
BASE
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8
Unsupervised Multi-View Post-OCR Error Correction With Language Models ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Brenner, Eliot
;
Broscheit, Samuel
. - : Underline Science Inc., 2021
BASE
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9
AttentionRank: Unsupervised Keyphrase Extraction using Self and Cross Attentions ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Ding, Haoran
;
Luo, Xiao
. - : Underline Science Inc., 2021
BASE
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10
Automatic Fact-Checking with Document-level Annotations using BERT and Multiple Instance Learning ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Park, Joonsuk
;
Sathe, Aalok
. - : Underline Science Inc., 2021
BASE
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11
Towards the Early Detection of Child Predators in Chat Rooms: A BERT-based Approach ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Kumbale, Sinchana
;
Singh, Smriti
. - : Underline Science Inc., 2021
BASE
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12
Semantic Categorization of Social Knowledge for Commonsense Question Answering ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Wang, Gengyu
. - : Underline Science Inc., 2021
BASE
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13
Pre-train or Annotate? Domain Adaptation with a Constrained Budget ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Bai, Fan
;
Ritter, Alan
. - : Underline Science Inc., 2021
BASE
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14
Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Choenni, Rochelle
;
Shutova, Ekaterina
. - : Underline Science Inc., 2021
BASE
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15
CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Cao, Shuyang
;
Wang, Lu
. - : Underline Science Inc., 2021
BASE
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16
Automatic Text Evaluation through the Lens of Wasserstein Barycenters ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Clavel, Chloe
;
Colombo, Pierre
. - : Underline Science Inc., 2021
BASE
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17
Combining sentence and table evidence to predict veracity of factual claims using TaPaS and RoBERTa ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Funkquist, Martin
. - : Underline Science Inc., 2021
Abstract:
This presentation is about a proposed model for automatic fact-checking on the FEVEROUS dataset, as part of the FEVER shared task. The model uses TaPas embeddings to represent tables and RoBERTa embeddings to represent textual evidence, which are combined as the input for the final label prediction model. It scores 0.13 for the FEVEROUS score and some ideas for improvement are discussed. ...
Keyword:
Computational Linguistics
;
Language Models
;
Machine Learning
;
Machine Learning and Data Mining
;
Natural Language Processing
URL:
https://dx.doi.org/10.48448/xd5q-p581
https://underline.io/lecture/39804-combining-sentence-and-table-evidence-to-predict-veracity-of-factual-claims-using-tapas-and-roberta
BASE
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18
Meta Distant Transfer Learning for Pre-trained Language Models ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Wang, Chengyu
. - : Underline Science Inc., 2021
BASE
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19
How to Train BERT with an Academic Budget ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Berchansky, Moshe
;
Izsak, Peter
. - : Underline Science Inc., 2021
BASE
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20
Temporal Adaptation of BERT and Performance on Downstream Document Classification: Insights from Social Media ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
. - : Underline Science Inc., 2021
BASE
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