research
∙
08/10/2023
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning
We present a novel approach for structured data-to-text generation that ...
share
research
∙
05/30/2023
Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge
The open-ended Visual Question Answering (VQA) task requires AI models t...
research
∙
05/27/2023
Benchmarking Diverse-Modal Entity Linking with Generative Models
Entities can be expressed in diverse formats, such as texts, images, or ...
research
∙
05/25/2023
UNITE: A Unified Benchmark for Text-to-SQL Evaluation
A practical text-to-SQL system should generalize well on a wide variety ...
research
∙
05/24/2023
Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification
Intent classification (IC) plays an important role in task-oriented dial...
research
∙
05/22/2023
Taxonomy Expansion for Named Entity Recognition
Training a Named Entity Recognition (NER) model often involves fixing a ...
research
∙
05/18/2023
Comparing Biases and the Impact of Multilingual Training across Multiple Languages
Studies in bias and fairness in natural language processing have primari...
research
∙
01/21/2023
Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness
Neural text-to-SQL models have achieved remarkable performance in transl...
research
∙
12/17/2022
Importance of Synthesizing High-quality Data for Text-to-SQL Parsing
Recently, there has been increasing interest in synthesizing data to imp...
research
∙
11/09/2022
Novel Chapter Abstractive Summarization using Spinal Tree Aware Sub-Sentential Content Selection
Summarizing novel chapters is a difficult task due to the input length a...
research
∙
04/20/2022
Synthetic Target Domain Supervision for Open Retrieval QA
Neural passage retrieval is a new and promising approach in open retriev...
research
∙
04/15/2021
Towards Robust Neural Retrieval Models with Synthetic Pre-Training
Recent work has shown that commonly available machine reading comprehens...
research
∙
12/02/2020
End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training
End-to-end question answering (QA) requires both information retrieval (...
research
∙
11/06/2020
Answer Span Correction in Machine Reading Comprehension
Answer validation in machine reading comprehension (MRC) consists of ver...
research
∙
10/24/2020
Improved Synthetic Training for Reading Comprehension
Automatically generated synthetic training examples have been shown to i...
research
∙
10/12/2020
Multi-Stage Pre-training for Low-Resource Domain Adaptation
Transfer learning techniques are particularly useful in NLP tasks where ...
research
∙
11/08/2019
The TechQA Dataset
We introduce TechQA, a domain-adaptation question answering dataset for ...
research
∙
08/16/2019
CFO: A Framework for Building Production NLP Systems
This paper introduces a novel orchestration framework, called CFO (COMPU...
research
∙
06/24/2016
A Sentence Compression Based Framework to Query-Focused Multi-Document Summarization
We consider the problem of using sentence compression techniques to faci...
research
∙
06/17/2016