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The 2021 Conference on Empirical Methods in Natural Language Processing 2021 (252)
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Hits 1 – 20 of 254
1
Le modèle Transformer: un « couteau suisse » pour le traitement automatique des langues
Yvon, François
In: Techniques de l'Ingenieur ; https://hal.archives-ouvertes.fr/hal-03619077 ; Techniques de l'Ingenieur, Techniques de l'ingénieur, 2022, ⟨10.51257/a-v1-in195⟩ ; https://www.techniques-ingenieur.fr/base-documentaire/innovation-th10/innovations-en-electronique-et-tic-42257210/transformer-des-reseaux-de-neurones-pour-le-traitement-automatique-des-langues-in195/ (2022)
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2
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
Abstract:
We present ARETA, an automatic error type annotation system for Modern Standard Arabic. We design ARETA to address Arabic’s morphological richness and orthographic ambiguity. We base our error taxonomy on the Arabic Learner Corpus (ALC) Error Tagset with some modifications. ARETA achieves a performance of 85.8% (micro average F1 score) on a manually annotated blind test portion of ALC. We also demonstrate ARETA’s usability by applying it to a number of submissions from the QALB 2014 shared task for Arabic grammatical error correction. The resulting analyses give helpful insights on the strengths and weaknesses of different submissions, which is more useful than the opaque M2 scoring metrics used in the shared task. ARETA employs a large Arabic morphological analyzer but is completely unsupervised otherwise. We make ARETA publicly available. ...
Keyword:
Computational Linguistics
;
Information Extraction
;
Language Models
;
Machine Learning
;
Machine Learning and Data Mining
;
Natural Language Processing
URL:
https://dx.doi.org/10.48448/1s26-nw85
https://underline.io/lecture/39891-automatic-error-type-annotation-for-arabic
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3
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
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4
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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5
Detecting Gender Bias using Explainability ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
., Krithika
;
Gupta, Gauri
. - : Underline Science Inc., 2021
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6
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
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7
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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8
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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9
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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10
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
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11
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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12
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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13
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
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14
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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15
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
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16
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
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17
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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18
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
BASE
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19
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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20
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
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