Сұрақтарға жауап беру жүйесі

We describe a parallel implementation of a chart parser for a shared-memory multipro- cessor. The speed-ups obtained with this parser have been measured for a number of small natural-language grammars. …...

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 contain- ing a …...

Previous works on question classification are based on complex natural language process- ing techniques: named entity extractors, parsers, chunkers, etc. While these ap- proaches have proven to be effective they …...

We present a question answering system that combines information at the lexical, syntactic, and semantic levels, in the process to find and rank the candidate answer sentences. The can- didate …...

We investigate the impact of the precision/recall trade-off of information extraction on the per- formance of an offline corpus-based question answering (QA) system. One of our findings is that, because …...

We present a learning-based method to identify single-snippet answers to definition questions in question answering systems for document collections. Our method combines and extends two previous techniques that were based …...

The trend in information retrieval sys- tems is from document to sub-document retrieval, such as sentences in a summari- zation system and words or phrases in question-answering system. Despite this …...

. Question classification is the first step that Question Answering System must dispose, the precision of question classification greatly affect the subsequent processes. In this paper, we present a new …...

This paper demonstrates a conceptually simple but effective method of increasing the accuracy of QA systems on factoid-style questions. We define the notion of an inverted question, and show that …...

This paper describes an algorithm for propagating verb arguments along lexi- cal chains consisting of WordNet rela- tions. The algorithm creates verb argu- ment structures using VerbNet syntactic patterns. In …...

In this paper, we discuss how to utilize the co-occurrence of answers in building an automatic question answering system that answers a series of questions on a specific topic in …...

This paper introduces a novel evaluation framework for question series and em- ploys it to explore the effectiveness of QA and IR systems at addressing users’ infor- mation needs. The …...

AbstractWe describe ongoing work in semi-automatic annotating corpus, with the goal to answer why-question in question answering system and give a construction of the coherent tree for text summarization. In …...

AbstractThe performance of question answering system is evaluated through successive evaluations campaigns. A set of questions are given to the participating systems which are to find the correct answer in …...

AbstractMost question-answering systems contain a classifier module which determines a question category, based on which each question is assigned an answer type. However, setting up syntactic patterns for this classification …...

This paper investigates a solution to yes/no question answering, which can be mapped to the task of determining the correctness of a given proposition. Generally it is hard to obtain …...

AbstractLanguage resources that include semantic equivalences at word level are common, and its usefulness is well established in text processing applications, as in the case of search. Named entities also …...

In natural language question answering (QA) systems, questions often contain terms and phrases that are critically important for re- trieving or finding answers from documents. We present a learnable system …...

Many knowledge repositories nowadays con- tain billions of triplets, i.e. (head-entity, re- lationship, tail-entity), as relation instances. These triplets form a directed graph with enti- ties as nodes and relationships …...

We describe how a question-answering sys- tem can learn about its domain from conver- sational dialogs. Our system learns to relate concepts in science questions to propositions in a fact …...

AbstractThis paper presents QUANDHO (QUestion ANswering Data for italian HistOry), an Italian question answering dataset created to cover a specific domain, i.e. the history of Italy in the first half …...

Modern search engines have made dramatic progress in the answering of many user’s ques- tions about facts, such as those that might be retrieved or directly inferred from a knowl- …...

AbstractAn interactive Question Answering (QA) system frequently encounters non-sentential (incomplete) questions. These non-sentential questions may not make sense to the system when a user asks them without the context of …...

AbstractQuestion answering (QA) systems are easily distracted by irrelevant or redundant words in questions, especially when faced with long or multi-sentence questions in difficult domains. This paper introduces and studies …...

AbstractMost question answering (QA) systems are based on raw text and structured knowledge graph. However, raw text corpora are hard for QA system to understand, and structured knowledge graph needs …...

AbstractThe lack of large-scale question matching corpora greatly limits the development of matching methods in question answering (QA) system, especially for non-English languages. To ameliorate this situation, in this paper, …...

AbstractAn argument is divided into two parts, the claim and the reason. To obtain a clearer conclusion, some additional explanation is required. In this task, the explanations are called warrants. …...

AbstractAlthough current evaluation of question-answering systems treats predictions in isolation, we need to consider the relationship between predictions to measure true understanding. A model should be penalized for answering “no” …...

AbstractQuestion answering (QA) systems for large document collections typically use pipelines that (i) retrieve possibly relevant documents, (ii) re-rank them, (iii) rank paragraphs or other snippets of the top-ranked documents, …...

AbstractMany open-domain question answering problems can be cast as a textual entailment task, where a question and candidate answers are concatenated to form hypotheses. A QA system then determines if …...

AbstractCurrent question answering (QA) systems primarily consider the single-answer scenario, where each question is assumed to be paired with one correct answer. However, in many real-world QA applications, multiple answer …...