DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension [PDF]
We present DREAM, the first dialogue-based multiple-choice reading comprehension dataset. Collected from English-as-a-foreign-language examinations designed by human experts to evaluate the comprehension level of Chinese learners of English, our dataset contains 10,197 multiple-choice questions for 6,444 dialogues.
Kai Sun+5 more
arxiv +3 more sources
SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension [PDF]
Based on powerful Large Language Models (LLMs), recent generative Multimodal Large Language Models (MLLMs) have gained prominence as a pivotal research area, exhibiting remarkable capability for both comprehension and generation. In this work, we address
Bohao Li+5 more
semanticscholar +1 more source
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension [PDF]
We present BART, a denoising autoencoder for pretraining sequence-to-sequence models. BART is trained by (1) corrupting text with an arbitrary noising function, and (2) learning a model to reconstruct the original text.
M. Lewis+7 more
semanticscholar +1 more source
SQuAD: 100,000+ Questions for Machine Comprehension of Text [PDF]
We present the Stanford Question Answering Dataset (SQuAD), a new reading comprehension dataset consisting of 100,000+ questions posed by crowdworkers on a set of Wikipedia articles, where the answer to each question is a segment of text from the ...
Pranav Rajpurkar+3 more
semanticscholar +1 more source
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension [PDF]
We present TriviaQA, a challenging reading comprehension dataset containing over 650K question-answer-evidence triples. TriviaQA includes 95K question-answer pairs authored by trivia enthusiasts and independently gathered evidence documents, six per ...
Mandar Joshi+3 more
semanticscholar +1 more source
RACE: Large-scale ReAding Comprehension Dataset From Examinations [PDF]
We present RACE, a new dataset for benchmark evaluation of methods in the reading comprehension task. Collected from the English exams for middle and high school Chinese students in the age range between 12 to 18, RACE consists of near 28,000 passages ...
Guokun Lai+4 more
semanticscholar +1 more source
Adversarial Examples for Evaluating Reading Comprehension Systems [PDF]
Standard accuracy metrics indicate that reading comprehension systems are making rapid progress, but the extent to which these systems truly understand language remains unclear.
Robin Jia, Percy Liang
semanticscholar +1 more source
MAttNet: Modular Attention Network for Referring Expression Comprehension [PDF]
In this paper, we address referring expression comprehension: localizing an image region described by a natural language expression. While most recent work treats expressions as a single unit, we propose to decompose them into three modular components ...
Licheng Yu+6 more
semanticscholar +1 more source
Research status on the determination of occlusal vertical dimension of edentulous jaws
It is the key step of the occlusal reconstruction to determine the correct occlusal vertical dimension for edentulous patients. Although there are several methods in clinical practice, there is no ideal way.
WEI Yanan, SHENG Xun, CAO Zhiyun
doaj +1 more source
Linguistic worldview virtualization exеmplified by K.S. Aksakov’s story «Cloud» [PDF]
"The article approves the idea that the categories of space and time being basic categories of existence and cognition of the world; they form the structure of the worldview and sociocultural human experience and they are expressed in the linguistic ...
Kalashnikova Larisa V.
doaj +1 more source