Answer extraction

Copper is an Exhaustible Resource (ER). Vietnam has some copper mines, of which the largest mine being exploited is Sinh Quyen (Lao Cai). Due to special characteristics of ER, one main question must be answered: what is the optimal mining rate that can enhance a sustainable usage of copper? If it is extracted too much for rapid business growth, the interests of future generations will be harmed, and vice versal.

8p longtimenosee09 08-04-2024 6 2   Download

Lecture Physical science: Chapter 1 provide students with content about: the content of the course based on the handouts; answer questions of the students. During the course, there is additional information related to the content of the course. Students have to know how to extract the maincontent. Please refer to the detailed lecture content!

22p diepkhinhchau 18-09-2023 5 3   Download

Machine Reading Comprehension (MRC) is a great NLP task that requires concentration on making the machine read, scan documents, and extract meaning from the text, just like a human reader one of the MRC system challenges is not only having to understand the context to extract the answer but also being aware of the trust-worthy of the given question is possible or not.

9p viberkshire 09-08-2023 5 3   Download

Named entities (NE) are phrases that contain the names of persons, organizations, locations, times, quantities, email, phone number, etc., in a document. Named Entity Recognition (NER) is a fundamental task that is useful in many applications, especially in information extraction and question answering.

11p viberkshire 09-08-2023 7 5   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

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

There are many applications related to semantic web, information retrieval, information extraction, and question answering applying ontologies in recent years. To avoid the conceptual and terminological confusion, an ontology is built as a taxonomy ontology which identifies and distinguishes concepts as well as terminology.

8p vivelvet2711 06-09-2021 9 1   Download

The proliferation of the scientific literature in the field of biomedicine makes it difficult to keep abreast of current knowledge, even for domain experts. While general Web search engines and specialized information retrieval (IR) systems have made important strides in recent decades, the problem of accurate knowledge extraction from the biomedical literature is far from solved.

14p vikentucky2711 26-11-2020 14 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

With the growth of available sequenced datasets, analysis of heterogeneous processed data can answer increasingly relevant biological and clinical questions. Scientists are challenged in performing efficient and reproducible data extraction and analysis pipelines over heterogeneously processed datasets.

11p vicolorado2711 23-10-2020 11 1   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

What kind of information can we extract from an image, why study computer vision, why is computer vision difficult,... To help you answer the questions above, you are invited to refer to the content of the curriculum ''Comp 776: Computer vision". Hope this is useful references for you.

61p quanghuy_tpv 01-11-2015 57 4   Download

In this paper, we examined click patterns produced by users of Yahoo! search engine when prompting definition questions. Regularities across these click patterns are then utilized for constructing a large and heterogeneous training corpus for answer ranking. In a nutshell, answers are extracted from clicked web-snippets originating from any class of web-site, including Knowledge Bases (KBs). On the other hand, nonanswers are acquired from redundant pieces of text across web-snippets.

10p bunthai_1 06-05-2013 40 2   Download

This paper describes a self-learning software agent who collects and learns knowledge from the web and also exchanges her knowledge via dialogues with the users. The agent is built on top of information extraction, web mining, question answering and dialogue system technologies, and users can freely formulate their questions within the gossip domain and obtain the answers in multiple ways: textual response, graph-based visualization of the related concepts and speech output.

4p bunthai_1 06-05-2013 30 2   Download

In this paper we explore the power of surface text patterns for open-domain question answering systems. In order to obtain an optimal set of patterns, we have developed a method for learning such patterns automatically. A tagged corpus is built from the Internet in a bootstrapping process by providing a few hand-crafted examples of each question type to Altavista. Patterns are then automatically extracted from the returned documents and standardized. We calculate the precision of each pattern, and the average precision for each question type. ...

7p bunmoc_1 20-04-2013 36 1   Download

Named entity (NE) recognition is a task in which proper nouns and numerical information in a document are detected and classified into categories such as person, organization, location, and date. NE recognition plays an essential role in information extraction systems and question answering systems. It is well known that hand-crafted systems with a large set of heuristic rules are difficult to maintain, and corpus-based statistical approaches are expected to be more robust and require less human intervention. ...

8p bunrieu_1 18-04-2013 30 2   Download

We propose a method to generate large-scale encyclopedic knowledge, which is valuable for much NLP research, based on the Web. We first search the Web for pages containing a term in question. Then we use linguistic patterns and HTML structures to extract text fragments describing the term. Finally, we organize extracted term descriptions based on word senses and domains. In addition, we apply an automatically generated encyclopedia to a question answering system targeting the Japanese InformationTechnology Engineers Examination. ...

8p bunrieu_1 18-04-2013 31 2   Download

We have been investigating an interactive approach for Open-domain QA (ODQA) and have constructed a spoken interactive ODQA system, SPIQA. The system derives disambiguating queries (DQs) that draw out additional information. To test the efficiency of additional information requested by the DQs, the system reconstructs the user’s initial question by combining the addition information with question. The combination is then used for answer extraction. Experimental results revealed the potential of the generated DQs. ...

4p bunbo_1 17-04-2013 51 2   Download

In this paper, we present a method for the semantic tagging of word chunks extracted from a written transcription of conversations. This work is part of an ongoing project for an information extraction system in the field of maritime Search And Rescue (SAR). Our purpose is to automatically annotate parts of texts with concepts from a SAR ontology. Our approach combines two knowledge sources a SAR ontology and the Wordsmyth dictionarythesaurus, and it uses a similarity measure for the classification.

8p bunbo_1 17-04-2013 39 2   Download