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01/15/2023
Rationalizing Predictions by Adversarial Information Calibration
Explaining the predictions of AI models is paramount in safety-critical ...
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11/19/2021
Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning
Retrieve-based dialogue response selection aims to find a proper respons...
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11/15/2021
Rationale production to support clinical decision-making
The development of neural networks for clinical artificial intelligence ...
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10/14/2021
Finetuning Large-Scale Pre-trained Language Models for Conversational Recommendation with Knowledge Graph
In this paper, we present a pre-trained language model (PLM) based frame...
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05/23/2021
Controlling Text Edition by Changing Answers of Specific Questions
In this paper, we introduce the new task of controllable text edition, i...
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12/16/2020
Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration
Explaining the predictions of AI models is paramount in safety-critical ...
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12/16/2020
Multi-type Disentanglement without Adversarial Training
Controlling the style of natural language by disentangling the latent sp...
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11/27/2017
Table-to-text Generation by Structure-aware Seq2seq Learning
Table-to-text generation aims to generate a description for a factual ta...
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09/01/2017
Order-Planning Neural Text Generation From Structured Data
Generating texts from structured data (e.g., a table) is important for v...
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04/03/2017
Syntax Aware LSTM Model for Chinese Semantic Role Labeling
As for semantic role labeling (SRL) task, when it comes to utilizing par...
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03/04/2016
