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09/21/2023
SQUARE: Automatic Question Answering Evaluation using Multiple Positive and Negative References
Evaluation of QA systems is very challenging and expensive, with the mos...
share
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05/24/2023
Learning Answer Generation using Supervision from Automatic Question Answering Evaluators
Recent studies show that sentence-level extractive QA, i.e., based on An...
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10/23/2022
Knowledge Transfer from Answer Ranking to Answer Generation
Recent studies show that Question Answering (QA) based on Answer Sentenc...
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10/14/2021
Cross-Lingual GenQA: A Language-Agnostic Generative Question Answering Approach for Open-Domain Question Answering
Open-Retrieval Generative Question Answering (GenQA) is proven to delive...
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09/26/2021
Extracting and Inferring Personal Attributes from Dialogue
Personal attributes represent structured information about a person, suc...
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07/02/2021
Scarecrow: A Framework for Scrutinizing Machine Text
Modern neural text generation systems can produce remarkably fluent and ...
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04/18/2021
Go Forth and Prosper: Language Modeling with Ancient Textual History
We introduce a technique for improving document-level language models (L...
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09/19/2020
Extracting Summary Knowledge Graphs from Long Documents
Knowledge graphs capture entities and relations from long documents and ...
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05/01/2020
A Controllable Model of Grounded Response Generation
Current end-to-end neural conversation models inherently lack the flexib...
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02/02/2020
Citation Text Generation
We introduce the task of citation text generation: given a pair of scien...
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11/27/2019
DeFINE: DEep Factorized INput Word Embeddings for Neural Sequence Modeling
For sequence models with large word-level vocabularies, a majority of ne...
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05/30/2019
MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms
We introduce a large-scale dataset of math word problems and an interpre...
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04/04/2019
Text Generation from Knowledge Graphs with Graph Transformers
Generating texts which express complex ideas spanning multiple sentences...
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08/27/2018
Pyramidal Recurrent Unit for Language Modeling
LSTMs are powerful tools for modeling contextual information, as evidenc...
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04/28/2018
Data-Driven Methods for Solving Algebra Word Problems
We explore contemporary, data-driven techniques for solving math word pr...
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10/19/2016
