Multi-style generative reading comprehension
Web1 ian. 2024 · The Masque model (Nishida et al., 2024) is a generative reading comprehension approach based on multi-source abstractive summarization. Masque … Web8 ian. 2024 · Abstract: This study focuses on the task of multi-passage reading comprehension (RC) where an answer is provided in natural language. Current …
Multi-style generative reading comprehension
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Web15 sept. 2024 · Generative machine reading comprehension (MRC) requires a model to generate well-formed answers. For this type of MRC, answer generation method is … Web11 rânduri · This study tackles generative reading comprehension (RC), which consists of answering questions based on textual evidence and natural language generation (NLG). We propose a multi-style abstractive …
WebGenerative machine reading comprehension technology for generating multi-style answers In machine reading comprehension, the most common type of problem setup involves extracting an answer from text serving as a knowledge source. WebThis study tackles generative reading compre-hension (RC), which consists of answering questions based on textual evidence and nat-ural language generation (NLG). We …
Web15 aug. 2024 · In this paper, we introduce the Multi-Type Multi-Span Network (MTMSN), a neural reading comprehension model that combines a multi-type answer predictor designed to support various answer types (e.g., span, count, negation, and arithmetic expression) with a multi-span extraction method for dynamically producing one or … Web5 ian. 2024 · This paper presents a study on Reading Comprehension and its evolution in Natural Language Processing over the past few decades. We shall also study how the task of Single Document Reading Comprehension acts as a building block for our Multi-Document Reading Comprehension System.
Web8 ian. 2024 · This study focuses on the task of multi-passage reading comprehension (RC) where an answer is provided in natural language. Current mainstream approaches treat RC by extracting the answer span from the provided passages and cannot generate an abstractive summary from the given question and passages. Moreover,
Web生成式和判别式的检索模型. 生成式检索模型（query -> document）认为query和document之间存在潜在的生成过程，其缺点在于很难利用其它相关的信息，比如链接数，点击数等document和document之间的相关数据。 判别式检索模型（query+document -> relevance）同时考虑query和document作为特征，预测它们的相关性，其 ... secured package boxWebGenerative MRCCategory 论文笔记--Multi-Style Generative Reading Comprehension (Masque) 04-06 论文笔记--From Answer Extraction to Answer Generation for Machine Reading Comprehension (S-Net) 01-17 IndexFziQ I'm a PhD student in NLP at IIE, CAS. I blog about NLP and Python. 25posts 10categories 28tags GitHubE-MailInstagram © … secured packageWeb论文笔记–Multi-Style Generative Reading Comprehension (Masque) 截止2024年8月21日，本文提出的Masque模型是在 MS MARCO 和 NarrativeQA 数据集上SOTA模型。 RC研究领域多使用范围抽取式方法，生成式方法面临开放领域训练数据匮乏。 本文提出多风格问答阅读理解摘要模型，从问句和多个段落生成指定风格的summary作为答案。 多源摘要： … purple baby bassinet that vibratesWebMulti-style learning for style control and trans-fer. We introduce multi-style learning that en-ables our model to control answer styles and im-proves RC for all styles involved. … secured packaging facilityWebet al.(2024a) proposed a multi-style generative model to generate an abstractive summary from the given question, passages and multi-style. 2.3 Reliable Text Generation Compared with answer extraction, answer genera-tion for reading comprehension is more challeng-ing, and the major challenge in generative read- secured packagesWeb序号 论文 发表会议 备注; 1: HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering: EMNLP 2024: HotpotQA 抽取式 每个QA对有10个（distractor setting）或百万级（full wiki setting）对应的paragraph: 2: Constructing Datasets for Multi-hop Reading Comprehension Across Documents secured packaging fee flipkartWeb13 sept. 2024 · The multi-choice style MRC like. RACE (Lai et al. 2024) requires models to choose a correct. ... Generative machine reading comprehension (MRC) requires a … secured packaging