Natural language question answering

In this paper, we propose applying a jointly developed model to the task of multilingual visual question answering. Specifically, we conduct experiments on a multimodal sequence-to-sequence transformer model derived from the T5 encoder-decoder architecture. Text tokens and Vision Transformer (ViT) dense image embeddings are inputs to an encoder then we used a decoder to automatically anticipate discrete text tokens.

11p dianmotminh02 03-05-2024 6 1   Download

In this paper, we proposed two types of joint models for answerability prediction and pure-MRC prediction with/ without a dependency mechanism to learn the correlation between a start position and end position in pure-MRC output prediction.

7p viberkshire 09-08-2023 6 3   Download

One of the emerging research trends in natural language understanding is machine reading comprehension (MRC) which is the task to find answers to human questions based on textual data. Existing Vietnamese datasets for MRC research concentrate solely on answerable questions.

16p viberkshire 09-08-2023 6 3   Download

In recent years, there are multiple systems (e.g search engines and dialogue systems) that require machines to be able to read and understand human text to perform several tasks in an application. Machine Reading Comprehension (MRC) has posed a challenge to the Natural Language Processing (NLP) community in teaching machines to understand the meaning of human text in order to answer questions provided.

9p viberkshire 09-08-2023 9 5   Download

In this article, we report on evaluating the NLI task of the competition. We first implement the 5-fold cross-validation evaluation method. We following leverage model architectures pre-trained on cross-lingual language datasets such as XLM-RoBERTa and RemBERT to create contextual word embeddings for classification. Our final result reaches 90.00% on the test dataset of the organizers.

8p viberkshire 09-08-2023 13 6   Download

Machine Reading Comprehension is one of the natural language processing fields; machines automatically have to answer questions based on specific passages for this task. In recent years, machine reading comprehension (MRC) has received much attention; many articles have been written about this task.

11p viberkshire 09-08-2023 5 5   Download

Seizure frequency and seizure freedom are among the most important outcome measures for patients with epilepsy. In this study, we aimed to automatically extract this clinical information from unstructured text in clinical notes. If successful, this could improve clinical decision-making in epilepsy patients and allow for rapid, large-scale retrospective research.

9p vighostrider 25-05-2023 4 2   Download

Consumers increasingly turn to the internet in search of health-related information; and they want their questions answered with short and precise passages, rather than needing to analyze lists of relevant documents returned by search engines and reading each document to find an answer. We aim to answer consumer health questions with information from reliable sources.

8p vighostrider 25-05-2023 6 2   Download

Bài giảng Xử lý ngôn ngữ tự nhiên (Natural language processing): Bài 8 cung cấp cho học viên những nội dung về: hệ hỏi đáp (Question Answering); viết lại câu hỏi – trọng số; so khớp mẫu bề mặt (Ravichandran and Hovy, ISI); hệ thống phức tạp NLP – Pasca & Harabagiu; thuật toán lựa chọn từ khóa;... Mời các bạn cùng tham khảo chi tiết nội dung bài giảng!

38p duonghoanglacnhi 07-11-2022 14 2   Download

Part 2 of book "Speech and Language Processing: An introduction to natural language processing" provide with knowledge about: statistical parsing; language and complexity; features and unification; representing meaning; computational semantics; lexical semantics; computational lexical semantics; computational discourse; information extraction; question answering and summarization; dialogue and conversational agents;...

535p britaikridanik 06-07-2022 30 3   Download

This paper will make an overview of the results of previous research by answering the following questions: How much L1 do students and teachers think should be used? How much L1 do students and teachers really use? How can L1 help students to progress in L2 learning?

3p vianapatricia 10-06-2022 15 3   Download

This paper, combining natural language processing with knowledge representation and reasoning, aimed to implement such a question answering chatbot in pure Vietnamese to help students with their programming related questions.

13p viellenkullman 16-05-2022 37 1   Download

In this paper, we present results of employing DBpedia and YAGO as lexical databases for answering questions formulated in the natural language. The proposed solution has been evaluated for answering class 1 and class 2 questions (out of 5 classes de¯ned by Moldovan for TREC conference).

16p redemption 20-12-2021 14 1   Download

This paper introduces a novel methodology to build knowledge graph from heterogeneous documents. We use the methodologies of Natural Language Processing and deep learning to build this graph. The knowledge graph can use in Question answering systems and Information retrieval especially in Computing domain.

8p tunelove 12-06-2021 15 1   Download

This article provides an overview of the first BIOASQ challenge, a competition on large-scale biomedical semantic indexing and question answering (QA), which took place between March and September 2013. BIOASQ assesses the ability of systems to semantically index very large numbers of biomedical scientific articles, and to return concise and user-understandable answers to given natural language questions by combining information from biomedical articles and ontologies.

28p vikentucky2711 24-11-2020 15 1   Download

Dependency parsing has attracted many natural language processing research groups in recent years. Dependency syntax is a form of sentence representation which has many applications in problems such as question answering system, information extraction, text summarization, machine translation ... Currently, there are many approaches for dependency parsing and they have achieved high accuracy for different languages. For Vietnamese, our research group has used Skip-gram and GloVe model to produce distributed word representations.

7p quenchua9 20-11-2020 17 2   Download

Consumers increasingly use online resources for their health information needs. While current search engines can address these needs to some extent, they generally do not take into account that most health information needs are complex and can only fully be expressed in natural language.

28p viconnecticut2711 28-10-2020 15 0   Download

The method involves querying a search engine for web passages that contain the answer to the question, extracting patterns that characterize fine-grained classification for answers. Independent evaluation on a set of questions shows that the proposed approach outperforms a naive keyword based approach.

5p byphasse043256 24-03-2019 24 1   Download

This paper describes a computational pragmatic model which is geared towards providing helpful answers to modal and hypothetical questions. The work brings together elements from f o n n a l . semantic theories on modality m~d question answering, defines a wkler, pragmatically flavoured, notion of answerhood based on non-monotonic inference aod develops a notion of context, within which aspects of more cognitively oriented theories, such as Relevance Theory, can be accommodated.

6p buncha_1 08-05-2013 33 2   Download

First of all, the criteria are described that are used to identify the elementary units of undering structure and the operations conoining them into complex units (Sect.l), t h e n t h e m a i n t y p e s o f ~ n ~ t s and o p e r a t i o n s resulting from an empirical investigation on t h e b a s i s o f t h e c r i t e r i a are registered ( S e c t . 2 ) ,...

5p buncha_1 08-05-2013 54 3   Download