[PDF] Top 20 Language Modeling for Document Selection in Question Answering
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Language Modeling for Document Selection in Question Answering
... ural language questions which can be textual or ...possible question to a QA sys- tem would be: Who did play the main roles in the Titanic movie directed by James ... See full document
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Careful Selection of Knowledge to Solve Open Book Question Answering
... natural language abduction to generate queries for retriev- ing missing knowledge; (c) We show how to use Information Gain based Re-ranking to reduce dis- tractions and remove redundant information; (d) We provide ... See full document
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A Survey of Natural Language Question Answering System
... The Question Answering technology takes both IR and IE steps further and provide precise answer to open domain questions formulated naturally [1] IR system locate the documents contain important Information ... See full document
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Recent Trends in Natural Language Question Answering Systems: A Survey
... Current information retrieval system or search engine can do just “document retrieval”, i.e. given some keywords it only returns the relevant ranked documents that contain these keywords. IR systems don't return ... See full document
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LDA Based Similarity Modeling for Question Answering
... a question posed by a user, the document sets D are retrieved by a search engine based on the query expanded from the ...given question and each candidate passage/sentence s ∈ D in the retrieved ... See full document
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Arabic Question Answering: A Study on Challenges, Systems, and Techniques
... (Arabic Question Answering System). AQAS is a Question Answering System, which is based on a structured knowledge ...Natural Language Processing techniques for extracting ...the ... See full document
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Evolution of Techniques for Question Answering over Knowledge Base: A Survey
... and modeling question answering and keyword search tools for Information Retrieval ...[3]–[6]. Question Answering Systems incorporate natural language statements or questions to ... See full document
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Lattice CNNs for Matching Based Chinese Question Answering
... based question answering in ...both document based question answering and knowledge based question answering tasks, and experimental results show that the LCNs models can ... See full document
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Islamic Applications of Automatic Question-Answering
... a question answering system aims to extract the exact ...A question answering system involves the process of accepting a NL (Natural Language) question, analyzing, and processing ... See full document
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Language independent Probabilistic Answer Ranking for Question Answering
... This paper presents a language-independent probabilistic answer ranking framework for question answering. The framework esti- mates the probability of an individual an- swer candidate given the ... See full document
8
Reasoning-Driven Question-Answering For Natural Language Understanding
... for question answering on elementary-school science exams, using a semi-structured knowledge ...subgraph selection problem and then formulate this as an ILP ... See full document
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A Probabilistic Framework for Answer Selection in Question Answering
... answer selection process for that ...the question “How many people live in Chile?”, if an answer candidate is within ± 10% of the population stated in the CIA World Factbook, it receives a score of ...the ... See full document
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Interactive Language Learning by Question Answering
... To reframe the QAit games as a standard MRC task, we also designed an experimental setting that eliminates the need to gather information inter- actively. From a heuristic trajectory through the game environment that is ... See full document
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The Use of Dynamic Segment Scoring for Language Independent Question Answering
... We adopted the same criteria used at the TREC-8 Q/A track meeting [7] for our system evaluation. For the monolingual ex- periment, answers to two queries didn't exist in the original data. Furthermore, we found that ... See full document
5
Deep Learning Approaches to Text Production
... natural language generation, understanding and structured ...natural language applications such as question answering, paraphrase generation, semantic and syntactic parsing, document ... See full document
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Learning Strategies for Open Domain Natural Language Question Answering
... natural language question answering from examples composed of textual sources, questions, and ...text-based question answering known as story ...a document contained in a fairly ... See full document
6
Question Condensing Networks for Answer Selection in Community Question Answering
... that modeling interaction between the question-answer pair is useful enough for answer selection ...condensing question representation helps in the answer selection ... See full document
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Natural Language Question Answering and Analytics for Diverse and Interlinked Datasets
... ural language question answering for extracting in- formation from complex, interlinked ...natural language questions in order to show how it allows the user to gain deeper insights into the ... See full document
5
Denotational Semantics for “Natural” Language Question Answering Programs
... 1977 Denotational Semantics: The Scott-Strachey Approach to Programming Language Theory.. M1T Press, Cambridge, Mas- sachusetts..[r] ... See full document
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NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language
... natural language data by using a combi- nation of pretrained sentence embeddings, a logic prover, and fine-tuning via backpropagation, ii) We describe how a Prolog reasoner can be enhanced with a differentiable ... See full document
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