research
∙
05/19/2023
Inference-time Re-ranker Relevance Feedback for Neural Information Retrieval
Neural information retrieval often adopts a retrieve-and-rerank framewor...
share
research
∙
03/01/2023
UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers
Many information retrieval tasks require large labeled datasets for fine...
research
∙
01/23/2023
PrimeQA: The Prime Repository for State-of-the-Art Multilingual Question Answering Research and Development
The field of Question Answering (QA) has made remarkable progress in rec...
research
∙
12/02/2022
Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking
Neural information retrieval (IR) systems have progressed rapidly in rec...
research
∙
11/29/2022
SPARTAN: Sparse Hierarchical Memory for Parameter-Efficient Transformers
Fine-tuning pre-trained language models (PLMs) achieves impressive perfo...
research
∙
11/17/2022
Zero-Shot Dynamic Quantization for Transformer Inference
We introduce a novel run-time method for significantly reducing the accu...
research
∙
06/16/2022
GAAMA 2.0: An Integrated System that Answers Boolean and Extractive Questions
Recent machine reading comprehension datasets include extractive and boo...
research
∙
06/14/2022
Task Transfer and Domain Adaptation for Zero-Shot Question Answering
Pretrained language models have shown success in various areas of natura...
research
∙
05/15/2022
Not to Overfit or Underfit? A Study of Domain Generalization in Question Answering
Machine learning models are prone to overfitting their source (training)...
research
∙
04/24/2022
Entity-Conditioned Question Generation for Robust Attention Distribution in Neural Information Retrieval
We show that supervised neural information retrieval (IR) models are pro...
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
∙
12/20/2021
MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding
Recently, there has been an increasing interest in building question ans...
research
∙
12/15/2021
Learning Cross-Lingual IR from an English Retriever
We present a new cross-lingual information retrieval (CLIR) model traine...
research
∙
12/14/2021
Do Answers to Boolean Questions Need Explanations? Yes
Existing datasets that contain boolean questions, such as BoolQ and TYDI...
research
∙
10/15/2021
On The Ingredients of an Effective Zero-shot Semantic Parser
Semantic parsers map natural language utterances into meaning representa...
research
∙
07/21/2021
Improved Text Classification via Contrastive Adversarial Training
We propose a simple and general method to regularize the fine-tuning of ...
research
∙
05/07/2021
VAULT: VAriable Unified Long Text Representation for Machine Reading Comprehension
Existing models on Machine Reading Comprehension (MRC) require complex m...
research
∙
04/15/2021
Towards Robust Neural Retrieval Models with Synthetic Pre-Training
Recent work has shown that commonly available machine reading comprehens...
research
∙
04/15/2021
Are Multilingual BERT models robust? A Case Study on Adversarial Attacks for Multilingual Question Answering
Recent approaches have exploited weaknesses in monolingual question answ...
research
∙
01/20/2021
Towards Confident Machine Reading Comprehension
There has been considerable progress on academic benchmarks for the Read...
research
∙
12/10/2020
Multilingual Transfer Learning for QA Using Translation as Data Augmentation
Prior work on multilingual question answering has mostly focused on usin...
research
∙
11/06/2020
Answer Span Correction in Machine Reading Comprehension
Answer validation in machine reading comprehension (MRC) consists of ver...
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
∙
10/30/2019
Ensembling Strategies for Answering Natural Questions
Many of the top question answering systems today utilize ensembling to i...
research
∙
09/11/2019
Frustratingly Easy Natural Question Answering
Existing literature on Question Answering (QA) mostly focuses on algorit...
research
∙
09/09/2019
Span Selection Pre-training for Question Answering
BERT (Bidirectional Encoder Representations from Transformers) and relat...
research
∙
08/16/2019
CFO: A Framework for Building Production NLP Systems
This paper introduces a novel orchestration framework, called CFO (COMPU...
research
∙
06/26/2018
Neural Cross-Lingual Coreference Resolution and its Application to Entity Linking
We propose an entity-centric neural cross-lingual coreference model that...
research
∙
12/05/2017
Neural Cross-Lingual Entity Linking
A major challenge in Entity Linking (EL) is making effective use of cont...
research
∙
12/05/2017
One for All: Towards Language Independent Named Entity Linking
Entity linking (EL) is the task of disambiguating mentions in text by as...
research
∙
07/04/2017
Improving Slot Filling Performance with Attentive Neural Networks on Dependency Structures
Slot Filling (SF) aims to extract the values of certain types of attribu...
research
∙
02/24/2016