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05/12/2023
When Giant Language Brains Just Aren't Enough! Domain Pizzazz with Knowledge Sparkle Dust
Large language models (LLMs) have significantly advanced the field of na...
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01/05/2023
Emotion-Cause Pair Extraction as Question Answering
The task of Emotion-Cause Pair Extraction (ECPE) aims to extract all pot...
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12/23/2022
Learning to Generate Questions by Enhancing Text Generation with Sentence Selection
We introduce an approach for the answer-aware question generation proble...
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10/20/2022
Meeting Decision Tracker: Making Meeting Minutes with De-Contextualized Utterances
Meetings are a universal process to make decisions in business and proje...
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09/26/2022
Improving Document Image Understanding with Reinforcement Finetuning
Successful Artificial Intelligence systems often require numerous labele...
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05/26/2022
Jointly Learning Span Extraction and Sequence Labeling for Information Extraction from Business Documents
This paper introduces a new information extraction model for business do...
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04/12/2022
Make The Most of Prior Data: A Solution for Interactive Text Summarization with Preference Feedback
For summarization, human preference is critical to tame outputs of the s...
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04/08/2022
Enhance Incomplete Utterance Restoration by Joint Learning Token Extraction and Text Generation
This paper introduces a model for incomplete utterance restoration (IUR)...
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11/13/2021
Robust Deep Reinforcement Learning for Extractive Legal Summarization
Automatic summarization of legal texts is an important and still a chall...
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06/02/2021
A Span Extraction Approach for Information Extraction on Visually-Rich Documents
Information extraction (IE) from visually-rich documents (VRDs) has achi...
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06/05/2020
Sentence Compression as Deletion with Contextual Embeddings
Sentence compression is the task of creating a shorter version of an inp...
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03/06/2020
Transfer Learning for Information Extraction with Limited Data
This paper presents a practical approach to fine-grained information ext...
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03/16/2017
Legal Question Answering using Ranking SVM and Deep Convolutional Neural Network
This paper presents a study of employing Ranking SVM and Convolutional N...
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09/03/2016