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41
KOAS: Korean Text Offensiveness Analysis System ...
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42
Contrastive Code Representation Learning ...
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43
Does Putting a Linguist in the Loop Improve NLU Data Collection ...
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44
What are we learning from language? ...
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45
Machine Translation Decoding beyond Beam Search ...
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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 ...
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 ...
Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
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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59
Corpus-based Open-Domain Event Type Induction ...
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60
Learning with Different Amounts of Annotation: From Zero to Many Labels ...
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