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05/18/2023
Analyzing Norm Violations in Live-Stream Chat
Toxic language, such as hate speech, can deter users from participating ...
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02/04/2023
PubGraph: A Large Scale Scientific Temporal Knowledge Graph
Research publications are the primary vehicle for sharing scientific pro...
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10/30/2022
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models
NLP models are susceptible to learning spurious biases (i.e., bugs) that...
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10/27/2022
Seq2Seq-SC: End-to-End Semantic Communication Systems with Pre-trained Language Model
While semantic communication is expected to bring unprecedented communic...
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10/02/2022
Does Wikidata Support Analogical Reasoning?
Analogical reasoning methods have been built over various resources, inc...
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06/14/2022
Understanding Narratives through Dimensions of Analogy
Analogical reasoning is a powerful qualitative reasoning tool that enabl...
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03/14/2022
Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-modal Knowledge Transfer
Pre-trained language models are still far from human performance in task...
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01/19/2022
Evaluating Machine Common Sense via Cloze Testing
Language models (LMs) show state of the art performance for common sense...
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10/16/2021
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER
Recent advances in prompt-based learning have shown impressive results o...
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09/09/2021
Table-based Fact Verification with Salience-aware Learning
Tables provide valuable knowledge that can be used to verify textual sta...
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05/04/2021
Retrieving Complex Tables with Multi-Granular Graph Representation Learning
The task of natural language table retrieval (NLTR) seeks to retrieve se...
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03/24/2021
Representing Numbers in NLP: a Survey and a Vision
NLP systems rarely give special consideration to numbers found in text. ...
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01/16/2020
Human-like Time Series Summaries via Trend Utility Estimation
In many scenarios, humans prefer a text-based representation of quantita...
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11/16/2017
Using Noisy Extractions to Discover Causal Knowledge
Knowledge bases (KB) constructed through information extraction from tex...
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07/04/2016
Generic Statistical Relational Entity Resolution in Knowledge Graphs
Entity resolution, the problem of identifying the underlying entity of r...
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07/02/2016
