Extractive Question-Answering

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

3 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 44 papers with code (102 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention
  2 Oct 2020 9 repositories listed Syntology ran 3 of 10 samples · 7 unverified
  In this paper, we propose new pretrained contextualized representations of words and entities based on the bidirectional transformer.
• MLQA: Evaluating Cross-lingual Extractive Question Answering
  16 Oct 2019 4 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  An alternative to building large monolingual training datasets is to develop cross-lingual systems which can transfer to a target language without requiring training data in that language.
• Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation
  28 Feb 2024 2 repositories listed
  The meta-templates for a dataset produce training examples where the input is the unannotated text and the task attribute and the output consists of the instruction and the response.
• Learning to Filter Context for Retrieval-Augmented Generation
  14 Nov 2023 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  To alleviate these problems, we propose FILCO, a method that improves the quality of the context provided to the generator by (1) identifying useful context based on lexical and information-theoretic approaches, and (2)…
• COVID-19 event extraction from Twitter via extractive question answering with continuous prompts
  19 Mar 2023 2 repositories listed
  As COVID-19 ravages the world, social media analytics could augment traditional surveys in assessing how the pandemic evolves and capturing consumer chatter that could help healthcare agencies in addressing it.
• Can Explanations Be Useful for Calibrating Black Box Models?
  14 Oct 2021 2 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  Our approach first extracts a set of features combining human intuition about the task with model attributions generated by black box interpretation techniques, then uses a simple calibrator, in the form of a…
• On the Multilingual Capabilities of Very Large-Scale English Language Models
  30 Aug 2021 2 repositories listed
  Generative Pre-trained Transformers (GPTs) have recently been scaled to unprecedented sizes in the history of machine learning.
• MarIA: Spanish Language Models
  15 Jul 2021 2 repositories listed
  This work presents MarIA, a family of Spanish language models and associated resources made available to the industry and the research community.
• MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering
  30 Jul 2020 2 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  Progress in cross-lingual modeling depends on challenging, realistic, and diverse evaluation sets.
• Learning Recurrent Span Representations for Extractive Question Answering
  4 Nov 2016 2 repositories listed
  In this paper, we focus on this answer extraction task, presenting a novel model architecture that efficiently builds fixed length representations of all spans in the evidence document with a recurrent network.
• SynFinTabs: A Dataset of Synthetic Financial Tables for Information and Table Extraction
  5 Dec 2024 1 repository listed
  To demonstrate the effectiveness of our dataset in training models to extract information from table images, we create FinTabQA, a layout large language model trained on an extractive question-answering task.
• Towards Robust Extractive Question Answering Models: Rethinking the Training Methodology
  29 Sep 2024 1 repository listed
  Our proposed training method includes a novel loss function for the EQA problem and challenges an implicit assumption present in numerous EQA datasets.
• Exploring Language Model Generalization in Low-Resource Extractive QA
  27 Sep 2024 1 repository listed
  In this paper, we investigate Extractive Question Answering (EQA) with Large Language Models (LLMs) under domain drift, i.
• From Multiple-Choice to Extractive QA: A Case Study for English and Arabic
  26 Apr 2024 1 repository listed
  The rapid evolution of Natural Language Processing (NLP) has favoured major languages such as English, leaving a significant gap for many others due to limited resources.
• TOP-Training: Target-Oriented Pretraining for Medical Extractive Question Answering
  25 Oct 2023 1 repository listed
  We study extractive question-answering in the medical domain (Medical-EQA).
• Promoting Generalized Cross-lingual Question Answering in Few-resource Scenarios via Self-knowledge Distillation
  29 Sep 2023 1 repository listed
  Our approach seeks to enhance cross-lingual QA transfer using a high-performing multilingual model trained on a large-scale dataset, complemented by a few thousand aligned QA examples across languages.
• CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain Performance and Calibration
  14 Sep 2023 1 repository listed Syntology ran 12 of 12 samples · 0 unverified
  In recent years, large language models (LLMs) have shown remarkable capabilities at scale, particularly at generating text conditioned on a prompt.
• AGent: A Novel Pipeline for Automatically Creating Unanswerable Questions
  10 Sep 2023 1 repository listed
  In this paper, we demonstrate the usefulness of this AGent pipeline by creating two sets of unanswerable questions from answerable questions in SQuAD and HotpotQA.
• Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question Answering
  11 Jun 2023 1 repository listed
  In this work, we study multi-source test-time model adaptation from user feedback, where K distinct models are established for adaptation.
• Continually Improving Extractive QA via Human Feedback
  21 May 2023 1 repository listed
  We study continually improving an extractive question answering (QA) system via human user feedback.
• Adaptive loose optimization for robust question answering
  6 May 2023 1 repository listed
  Question answering methods are well-known for leveraging data bias, such as the language prior in visual question answering and the position bias in machine reading comprehension (extractive question answering).
• BRENT: Bidirectional Retrieval Enhanced Norwegian Transformer
  19 Apr 2023 1 repository listed
  After training, we also separate the language model, which we call the reader, from the retriever components, and show that this can be fine-tuned on a range of downstream tasks.
• Can BERT Refrain from Forgetting on Sequential Tasks? A Probing Study
  2 Mar 2023 1 repository listed
  Large pre-trained language models help to achieve state of the art on a variety of natural language processing (NLP) tasks, nevertheless, they still suffer from forgetting when incrementally learning a sequence of tasks.
• Tokenization Consistency Matters for Generative Models on Extractive NLP Tasks
  19 Dec 2022 1 repository listed
  We show that, with consistent tokenization, the model performs better in both in-domain and out-of-domain datasets, with a notable average of +1.
• From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Model to Pre-trained Machine Reader
  9 Dec 2022 1 repository listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)
  We present Pre-trained Machine Reader (PMR), a novel method for retrofitting pre-trained masked language models (MLMs) to pre-trained machine reading comprehension (MRC) models without acquiring labeled data.
• DyREx: Dynamic Query Representation for Extractive Question Answering
  26 Oct 2022 1 repository listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  Extractive question answering (ExQA) is an essential task for Natural Language Processing.
• Findings of the VarDial Evaluation Campaign 2022
  1 Oct 2022 1 repository listed
  This report presents the results of the shared tasks organized as part of the VarDial Evaluation Campaign 2022.
• CodeQueries: A Dataset of Semantic Queries over Code
  17 Sep 2022 1 repository listed
  Compared to the existing datasets, in CodeQueries, the queries are about code semantics, the context is file level and the answers are code spans.
• KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering
  6 May 2022 1 repository listed
  Extractive Question Answering (EQA) is one of the most important tasks in Machine Reading Comprehension (MRC), which can be solved by fine-tuning the span selecting heads of Pre-trained Language Models (PLMs).
• Science Checker: Extractive-Boolean Question Answering For Scientific Fact Checking
  26 Apr 2022 1 repository listed
  With the explosive growth of scientific publications, making the synthesis of scientific knowledge and fact checking becomes an increasingly complex task.

Syntology lines on 8 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.