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Hits 41 – 60 of 1.029

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 ...
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56
Semantic Categorization of Social Knowledge for Commonsense Question Answering ...
Abstract: Large pre-trained language models (PLMs) have led to great success on various commonsense question answering (QA) tasks in an end-to-end fashion. However, little attention has been paid to what commonsense knowledge is needed to deeply characterize these QA tasks. In this work, we proposed to categorize the semantics needed for these tasks using the SocialIQA as an example. Building upon our labeled social knowledge categories dataset on top of SocialIQA, we further train neural QA models to incorporate such social knowledge categories and relation information from a knowledge base. Unlike previous work, we observe our models with semantic categorizations of social knowledge can achieve comparable performance with a relatively simple model and smaller size compared to other complex approaches. ...
Keyword: Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Question-Answering Systems
URL: https://underline.io/lecture/39769-semantic-categorization-of-social-knowledge-for-commonsense-question-answering
https://dx.doi.org/10.48448/yxqp-t370
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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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