Reading Comprehension
568 papers with code • 7 benchmarks • 95 datasets
Most current question answering datasets frame the task as reading comprehension where the question is about a paragraph or document and the answer often is a span in the document.
Some specific tasks of reading comprehension include multi-modal machine reading comprehension and textual machine reading comprehension, among others. In the literature, machine reading comprehension can be divide into four categories: cloze style, multiple choice, span prediction, and free-form answer. Read more about each category here.
Benchmark datasets used for testing a model's reading comprehension abilities include MovieQA, ReCoRD, and RACE, among others.
The Machine Reading group at UCL also provides an overview of reading comprehension tasks.
Figure source: A Survey on Machine Reading Comprehension: Tasks, Evaluation Metrics and Benchmark Datasets
Benchmarks
These leaderboards are used to track progress in Reading Comprehension
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Libraries
Use these libraries to find Reading Comprehension models and implementations
SQuAD
MS MARCO
TriviaQA
HotpotQA
RACE
NewsQA
CoQA
XQuAD
QuAC
TyDiQA
Subtasks
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Machine Reading Comprehension
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Intent Recognition
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Implicit Relations
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LAMBADA
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LAMBADA
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Question Selection
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Multi-Hop Reading Comprehension
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Implicatures
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Logical Reasoning Reading Comprehension
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English Proverbs
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Fantasy Reasoning
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Figure Of Speech Detection
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Formal Fallacies Syllogisms Negation
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GRE Reading Comprehension
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Hyperbaton
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Movie Dialog Same Or Different
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Nonsense Words Grammar
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Phrase Relatedness
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RACE-h
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RACE-m
Latest papers with no code
Exploring Autonomous Agents through the Lens of Large Language Models: A Review
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The Death of Feature Engineering? BERT with Linguistic Features on SQuAD 2.0
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Exploring the Nexus of Large Language Models and Legal Systems: A Short Survey
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Towards Human-Like Machine Comprehension: Few-Shot Relational Learning in Visually-Rich Documents
This approach aims to generate relation representations that are more aware of the spatial context and unseen relation in a manner similar to human perception.
MRC-based Nested Medical NER with Co-prediction and Adaptive Pre-training
In medical information extraction, medical Named Entity Recognition (NER) is indispensable, playing a crucial role in developing medical knowledge graphs, enhancing medical question-answering systems, and analyzing electronic medical records.
Knowledge Condensation and Reasoning for Knowledge-based VQA
We condense the retrieved knowledge passages from two perspectives.
CuentosIE: can a chatbot about "tales with a message" help to teach emotional intelligence?
In this article, we present CuentosIE (TalesEI: chatbot of tales with a message to develop Emotional Intelligence), an educational chatbot on emotions that also provides teachers and psychologists with a tool to monitor their students/patients through indicators and data compiled by CuentosIE.
Towards a Psychology of Machines: Large Language Models Predict Human Memory
Participants, both human and ChatGPT, were presented with pairs of sentences.
SaulLM-7B: A pioneering Large Language Model for Law
In this paper, we introduce SaulLM-7B, a large language model (LLM) tailored for the legal domain.
AceMap: Knowledge Discovery through Academic Graph
The exponential growth of scientific literature requires effective management and extraction of valuable insights.
