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The 2021 Conference on Empirical Methods in Natural Language Processing 2021 (1.029)
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Hits 61 – 80 of 1.029
61
Extracting Event Temporal Relations via Hyperbolic Geometry ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Tan, Xingwei
. - : Underline Science Inc., 2021
BASE
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62
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Bansal, Mohit
;
Guo, Han
. - : Underline Science Inc., 2021
BASE
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63
Contrastive Explanations for Model Interpretability ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Choi, Yejin
;
Elazar, Yanai
. - : Underline Science Inc., 2021
BASE
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64
Open Aspect Target Sentiment Classification with Natural Language Prompts ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Birle, Ian
;
Chang, Haw-Shiuan
. - : Underline Science Inc., 2021
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65
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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66
We've had this conversation before: A Novel Approach to Measuring Dialog Similarity ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Anaby-Tavor, Ateret
;
Boaz, David
. - : Underline Science Inc., 2021
BASE
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67
ESTER: A Machine Reading Comprehension Dataset for Reasoning about Event Semantic Relations ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Baylon, Julia
;
Han, Rujun
. - : Underline Science Inc., 2021
BASE
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68
Visual Goal-Step Inference using wikiHow ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Callison-Burch, Chris
;
Lyu, Qing
. - : Underline Science Inc., 2021
BASE
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69
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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70
Truth-Conditional Captions for Time Series Data ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Berg-Kirkpatrick, Taylor
;
Jhamtani, Harsh
. - : Underline Science Inc., 2021
BASE
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71
Knowledge Base Completion Meets Transfer Learning ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Kocijan, Vid
;
Lukasiewicz, Thomas
. - : Underline Science Inc., 2021
BASE
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72
Partially Supervised Named Entity Recognition via the Expected Entity Ratio Loss ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Collins, Michael
;
Effland, Thomas
. - : Underline Science Inc., 2021
Abstract:
We study learning named entity recognizers in the presence of missing entity annotations. We approach this setting as tagging with latent variables and propose a novel loss, the Expected Entity Ratio, to learn models in the presence of systematically missing tags. We show that our approach is both theoretically sound and empirically useful. Experimentally, we find that it meets or exceeds performance of strong and state-of-the-art baselines across a variety of languages, annotation scenarios, and amounts of labeled data. In particular, we find that it significantly outperforms the previous state-of-the-art methods from [Mayhew et al. '19] and [Li et al. '21] by +12.7 and +2.3 F1 score in a challenging setting with only 1,000 biased annotations, averaged across 7 datasets. We also show that, when combined with our approach, a novel sparse annotation scheme outperforms exhaustive annotation for modest annotation budgets. We have published our implementation and experimental results at ...
Keyword:
Computational Linguistics
;
Information Extraction
;
Machine Learning
;
Machine Learning and Data Mining
;
Natural Language Processing
URL:
https://dx.doi.org/10.48448/xhsd-jp35
https://underline.io/lecture/38200-partially-supervised-named-entity-recognition-via-the-expected-entity-ratio-loss
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73
Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Chen, Jiawei
. - : Underline Science Inc., 2021
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74
Analyzing the Surprising Variability in Word Embedding Stability Across Languages ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Burdick, Laura
;
Kummerfeld, Jonathan
. - : Underline Science Inc., 2021
BASE
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75
Neural Machine Translation with Heterogeneous Topic Knowledge Embeddings ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Peng, Wei
. - : Underline Science Inc., 2021
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76
Towards Zero-Shot Knowledge Distillation for Natural Language Processing ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Ghaddar, Abbas
;
Lioutas, Vasileios
. - : Underline Science Inc., 2021
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77
Corrected CBOW Performs as well as Skip-gram ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
., Karl
;
Benton, Adrian
. - : Underline Science Inc., 2021
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78
SIMMC 2.0: A Task-oriented Dialog Dataset for Immersive Multimodal Conversations ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Damavandi, Babak
;
Geramifard, Alborz
. - : Underline Science Inc., 2021
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79
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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80
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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