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Hits 581 – 600 of 20.398

581
Point, Disambiguate and Copy: Incorporating Bilingual Dictionaries for Neural Machine Translation ...
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582
Refining Sample Embeddings with Relation Prototypes to Enhance Continual Relation Extraction ...
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583
Graphine: A Dataset for Graph-aware Terminology Definition Generation ...
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584
TGIF: Tree-Graph Integrated-Format Parser for Enhanced UD with Two-Stage Generic- to Individual-Language Finetuning ...
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585
Stage-wise Fine-tuning for Graph-to-Text Generation ...
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586
CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarization ...
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587
Figurative Language in Recognizing Textual Entailment ...
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588
Few Shot Dialogue State Tracking using Meta-learning ...
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589
First Workshop on Interactive Learning for Natural Language Processing (InterNLP 2021) - Part 2 ...
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590
Towards Table-to-Text Generation with Numerical Reasoning ...
Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.115 Abstract: Recent neural text generation models have shown significant improvement in generating descriptive text from structured data such as table formats. One of the remaining important challenges is generating more analytical descriptions that can be inferred from facts in a data source. The use of a template-based generator and a pointer-generator is among the potential alternatives for table-to-text generators. In this paper, we propose a framework consisting of a pre-trained model and a copy mechanism. The pre-trained models are fine-tuned to produce fluent text that is enriched with numerical reasoning. However, it still lacks fidelity to the table contents. The copy mechanism is incorporated in the fine-tuning step by using general placeholders to avoid producing hallucinated phrases that are not supported by a table while preserving high fluency. In summary, our contributions are (1) a new dataset for numerical table-to-text generation using ...
Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
URL: https://dx.doi.org/10.48448/mdnw-kd54
https://underline.io/lecture/26008-towards-table-to-text-generation-with-numerical-reasoning
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591
Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection ...
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592
Is “moby dick” a Whale or a Bird? Named Entities and Terminology in Speech Translation ...
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593
Consistency Regularization for Cross-Lingual Fine-Tuning ...
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594
Meta-Learning for Improving Rare Word Recognition in end-to-end ASR ...
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595
Connecting Attributions and QA Model Behavior on Realistic Counterfactuals ...
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596
Provable Limitations of Acquiring Meaning from Ungrounded Form: What will Future Language Models Understand? ...
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597
4A: Computational Social Science and Cultural Analytics #3 ...
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598
Generation and Extraction Combined Dialogue State Tracking with Hierarchical Ontology Integration ...
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599
Error-Sensitive Evaluation for Ordinal Target Variables ...
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600
Learning to Explain: Generating Stable Explanations Fast ...
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