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Does Putting a Linguist in the Loop Improve NLU Data Collection ...
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46 |
Say `YES' to Positivity: Detecting Toxic Language in Workplace Communications ...
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47 |
Unsupervised Multi-View Post-OCR Error Correction With Language Models ...
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48 |
AttentionRank: Unsupervised Keyphrase Extraction using Self and Cross Attentions ...
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49 |
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection ...
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50 |
Multi-granularity Textual Adversarial Attack with Behavior Cloning ...
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51 |
Automatic Fact-Checking with Document-level Annotations using BERT and Multiple Instance Learning ...
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52 |
Towards the Early Detection of Child Predators in Chat Rooms: A BERT-based Approach ...
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53 |
TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning ...
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54 |
WebSRC: A Dataset for Web-Based Structural Reading Comprehension ...
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55 |
Improving Math Word Problems with Pre-trained Knowledge and Hierarchical Reasoning ...
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Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.272/ Abstract: The recent algorithms for math word problems (MWP) neglect to use outside knowledge not present in the problems. Most of them only capture the word-level relationship and ignore building hierarchical reasoning like the human being for mining the contextual structure between words and sentences. In this paper, we propose a Reasoning with Pre-trained Knowledge and Hierarchical Structure (RPKHS) network, which contains a pre-trained knowledge encoder and a hierarchical reasoning encoder. Firstly, our pre-trained knowledge encoder aims at reasoning the MWP by using outside knowledge from the pre-trained transformer-based models. Secondly, the hierarchical reasoning encoder is presented for seamlessly integrating the wordlevel and sentence-level reasoning to bridge the entity and context domain on MWP. Extensive experiments show that our RPKHS significantly outperforms state-of-the-art approaches on two large-scale commonly-used ...
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Keyword:
Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
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URL: https://dx.doi.org/10.48448/xq78-8b79 https://underline.io/lecture/37426-improving-math-word-problems-with-pre-trained-knowledge-and-hierarchical-reasoning
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56 |
Semantic Categorization of Social Knowledge for Commonsense Question Answering ...
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57 |
Adversarial Examples for Evaluating Math Word Problem Solvers ...
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58 |
Pre-train or Annotate? Domain Adaptation with a Constrained Budget ...
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60 |
Learning with Different Amounts of Annotation: From Zero to Many Labels ...
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