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Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies ...
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Learning Disentangled Latent Topics for Twitter Rumour Veracity Classification ...
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Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction ...
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Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection ...
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Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification ...
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Abstract:
Read paper: https://www.aclanthology.org/2021.acl-long.128 Abstract: Fact verification is a challenging task that requires simultaneously reasoning and aggregating over multiple retrieved pieces of evidence to evaluate the truthfulness of a claim. Existing approaches typically (i) explore the semantic interaction between the claim and evidence at different granularity levels but fail to capture their topical consistency during the reasoning process, which we believe is crucial for verification; (ii) aggregate multiple pieces of evidence equally without considering their implicit stances to the claim, thereby introducing spurious information. To alleviate the above issues, we propose a novel topic-aware evidence reasoning and stance-aware aggregation model for more accurate fact verification, with the following four key properties: 1) checking topical consistency between the claim and evidence; 2) maintaining topical coherence among multiple pieces of evidence; 3) ensuring semantic similarity between the ...
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URL: https://underline.io/lecture/26028-topic-aware-evidence-reasoning-and-stance-aware-aggregation-for-fact-verification https://dx.doi.org/10.48448/5ev7-7207
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Topic-driven and knowledge-aware transformer for dialogue emotion detection
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A disentangled adversarial neural topic model for separating opinions from plots in user reviews
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A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews ...
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Please Mind the Root: Decoding Arborescences for Dependency Parsing
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In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2020)
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Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions
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In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2020)
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Investigating Cross-Linguistic Adjective Ordering Tendencies with a Latent-Variable Model
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In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2020)
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Learning a Cost-Effective Annotation Policy for Question Answering
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In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2020)
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Pareto Probing: Trading Off Accuracy for Complexity
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In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2020)
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Speakers Fill Lexical Semantic Gaps with Context
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In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2020)
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Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation
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In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2020)
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Intrinsic Probing through Dimension Selection
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In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2020)
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Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation
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In: Findings of the Association for Computational Linguistics: EMNLP 2020 (2020)
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CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question Answering ...
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