Evaluation of Single-Span Models on Extractive Multi-Span Question-Answering

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Learning Recurrent Span Representations for Extractive Question Answering

The reading comprehension task, that asks questions about a given evidence document, is a central problem in natural language understanding. Recent formulations of this task have typically focused on answer selection from a set of candidates pre-defined manually or through the use of an external NLP pipeline. However, Rajpurkar et al. (2016) recently released the SQUAD dataset in which the answ...

متن کامل

Minimal Span Weighting Retrieval for Question Answering

Current question answering systems rely on document retrieval as a means of providing documents which are likely to contain an answer to a user’s question. Recent research has shown that taking into account the proximity between question terms is helpful in determining whether a document contains an answer to a question. In this paper, we propose a novel proximity-based approach to document ret...

متن کامل

Question Answering with Recurrent Span Representations

Using the Stanford Question and Answering Dataset (SQuAD) released by Rajpurkar et al. [1], we leverage a modified Recurrent Span Representation (RaSoR) model by Lee et al. [2] but with linear space complexity. This contrasts the original model by Lee et. al which requires a demanding quadratic space requirement to enumerate all answer spans. In addition, we introduce a novel architecture, Sequ...

متن کامل

Speech recognition experiments using multi-span statistical language models

A multi-span framework was recently proposed to integrate the various constraints, both local and global, that are present in the language. In this approach, local constraints are captured via n-gram language modeling, while global constraints are taken into account through the use of latent semantic analysis. The performance of the resulting multispan language models, as measured by perplexity...

متن کامل

Investigating Embedded Question Reuse in Question Answering

The investigation presented in this paper is a novel method in question answering (QA) that enables a QA system to gain performance through reuse of information in the answer to one question to answer another related question. Our analysis shows that a pair of question in a general open domain QA can have embedding relation through their mentions of noun phrase expressions. We present methods f...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: International journal of Web & Semantic Technology

سال: 2021

ISSN: 0976-2280

DOI: 10.5121/ijwest.2021.12102