answer extraction
Answer Extraction as Sequence Tagging with Tree Edit Distance
... Answer extraction is an essential task for any text- based question-answering system to ...cast answer extraction as a sequence tagging problem by deploying a fast and compact CRF model with ...
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Automatic Coupling of Answer Extraction and Information Retrieval
... Question Answer- ing system is bounded by its Information Re- trieval (IR) front end, resulting in research specif- ically on Information Retrieval for Question An- swering (IR4QA) (Greenwood, 2008; Sakai et ...
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Chinese Answer Extraction Based on POS Tree and Genetic Algorithm
... Answer extraction is the most important part of a chinese web-based question an- swering ...of answer ex- traction to new domains and eliminate the influence of the incomplete and noisy search ...
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Exploring Correlation of Dependency Relation Paths for Answer Extraction
... (Cui et al., 2004) propose an approximate de- pendency relation matching method for both pas- sage retrieval and answer extraction. The simi- larity between two relations is measured by their co-occurrence ...
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Inquiry‐answer extraction system for disaster risk reduction and the development of sustainable communities
... known answer extraction and retrieval systems does not perform design of the set of alternative variants of summarised text by permutating each composite part with every other composite part nor selects out ...
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Answer Extraction Techniquefor Question Answering Systems
... The experiment mainly asses the efficiency of the answer extraction method. There is no unified test data set in domain Question Answering System (QA), so this experiment uses Arabic Wikipedia as the ...
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Semi Supervised Answer Extraction from Discussion Forums
... A recent work by Cong et al. (2008) proposed an unsupervised method using PageRank-style random walks on a graph representation of the dis- cussion, with the hypothesis that inter-candidate similarities can improve ...
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A Joint Model for Answer Sentence Ranking and Answer Extraction
... correct answer chunk “Steve Sloan” appears in all four candidate sentences, of which only the first is actually relevant to the ques- ...of answer extraction systems: metrics that assess performance ...
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Does Similarity Matter? The Case of Answer Extraction from Technical Discussion Forums
... In this paper, we studied the contribution and importance of similarity to question in extracting answers from technical discussions, and showed that this feature does not contribute signifi- cantly towards the task of ...
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Answer Extraction by Recursive Parse Tree Descent
... short answer results describe the main set- ting, which formulates answer extraction as token clas- ...poor answer bound- aries as opposed to the classifier being totally ...
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Named Entity Based Answer Extraction form Hindi Text Corpus Using n grams
... Hindi we have taken only 4 categories for our ca- tegorization process includes PERSON, COUNT, DATE and LOCATION. We applied proposed al- gorithm over the following answer types hig- hlighted in table 1. The ...
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A Nil Aware Answer Extraction Framework for Question Answering
... nil-aware answer span extraction for RC-based ...an answer to a given ques- tion if and only if the passage contains a valid an- ...nil-aware answer span extraction framework based on ...
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Answer Extraction
... Errors Passage retrieval failed 16% Answer is not an entity 4% Answer of unhandled type: money 10% Answer of unhandled type: misc 8% Entity extraction failed 2% Entity classification fai[r] ...
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Answer Extraction, Semantic Clustering, and Extractive Summarization for Clinical Question Answering
... Each answer was evaluated in two different ways: first, with respect to the ground truth in CE, and second, using the assessor’s own medical ex- ...system answer be- longed to, based on the CE ...short ...
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Answer Extraction of Comparative and Evaluative Question in Tourism Domain
... The user needs or context should be identified before answering the comparative and evaluative question. System should identify the user demands in accordance to give correct answer. Context of the question is ...
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Linguistically Based Deep Unstructured Question Answering
... In this paper, we propose a new linguistically- based approach to answering non-factoid open-domain questions from unstructured data. First, we elaborate on an architecture for textual encoding based on which we in- ...
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Read + Verify: Machine Reading Comprehension with Unanswerable Questions
... learning answer extraction and no-answer detection, there exists two problems for each individual ...the answer extraction, previous readers are not trained to find candidate answers ...
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Learning Strategies for Open Domain Natural Language Question Answering
... an answer from a document contained in a fairly large general collection (Voorhees, ...selection, answer extraction, and response ...and answer forms, which makes it difficult to establish a ...
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Automatic Feature Engineering for Answer Selection and Extraction
... answering: answer sentence selection and answer ...and answer sentence pairs with lin- guistic structures enriched by semantic infor- mation, where the latter is produced by auto- matic classifiers, ...
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Information Extraction based on Arabic Information Retrieval using RDF Graphs: A Preliminary Study
... knowledge extraction from text from Arabic languages. Information extraction is an important task to discover the embed information of text by extract the semantic relation between words, and ...Information ...
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