[PDF] Top 20 Question Answering Using Enhanced Lexical Semantic Models
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Question Answering Using Enhanced Lexical Semantic Models
... open-domain question answering in this work, we would like to apply the pro- posed technology to other QA scenarios, such as community-based QA ...given question to some questions in an existing CQA ... See full document
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Large Scale Semantic Indexing and Question Answering in Biomedicine
... the semantic in- dexing task, we extended our successful ensemble approach of last year with addi- tional ...the question answering task, we extended our approach on fac- toid questions, while we ... See full document
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Semantic Parsing for Single Relation Question Answering
... a question, the system first enumerated all possible decompositions of the mentions and patterns, as described ...two models, which are derived from the cosine similarity scores using softmax as ... See full document
6
Addressing Semantic Drift in Question Generation for Semi Supervised Question Answering
... claimed none of them improved the quality of gen- erated questions. For QG evaluation, even though some previous works conducted human evalua- tions, most of them still relied on traditional met- rics (e.g., BLEU). ... See full document
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Retrieving Relevant Answer from Large Questions- Answer Dataset by Using Semantic Analysis and Natural Language Processing
... combine lexical similarity and semantic similarity between questions to rank ...the lexical gap for FAQ retrieval, including a translation-based approach anda query expansion approach using a ... See full document
9
Question Answering, Semantic Search and Data Service Querying
... 4 Natural Language Service Querying Addressing a natural language (NL) query over the service registration architecture outlined in the previous section implies the difficulty of general- izing over text by mapping the ... See full document
8
Question Answering with Lexical Chains Propagating Verb Arguments
... by using the following fea- tures: verb synset semantic category, verb synset position in the IS-A hierarchy, the fact that the verb synset is related to other synsets with CAU- SATION relation, the ... See full document
8
Semantic Parsing to Probabilistic Programs for Situated Question Answering
... situated question answer- ing can be formulated as semantic parsing with an execution model that is a learned function of the environment, and (2) probabilistic programming is a natural and powerful method ... See full document
11
A semantic graph based topic model for question retrieval in community question answering
... Community Question Answering (CQA) services, such as Yahoo! Answers and WikiAnswers, have become popular with users as one of the central paradigms for satisfying users’ information ...of question ... See full document
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Latent Semantic Tensor Indexing for Community based Question Answering
... tion answering(CQA). In this paper, we propose a unified question retrieval model based on latent semantic index- ing with tensor analysis, which can cap- ture word associations among different parts ... See full document
6
QUALIFIER: Question Answering by Lexical Fabric and External Resources
... working on question answering also employ a variety of linguistic resources, such as the part- of-speech tagging, syntactic parsing, semantic relations, named entity extraction, dictiona[r] ... See full document
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Predicting Answer Location Using Shallow Semantic Analogical Reasoning in a Factoid Question Answering System
... probabilistic models for an- swer ranking of NER-based answer selection by uti- lizing external semantic resources such as ...employs semantic roles to improve NER-based answer ... See full document
8
Using Semantic Roles to Improve Question Answering
... Question answering systems have traditionally de- pended on a variety of lexical resources to bridge surface differences between questions and potential ...the question with the subtree ... See full document
10
Learning Semantic Relatedness in Community Question Answering Using Neural Models
... In this paper, we present a neural-based model with stacked bidirectional LSTMs to generate the vector representations of questions and answers, and predict their semantic similarities. These simi- larity scores ... See full document
11
Lattice CNNs for Matching Based Chinese Question Answering
... Chinese question answering which utilizes lattice based CNNs to extract sentence level features over word ...LCNs models on two question answering tasks, document based question ... See full document
8
Answer Extraction, Semantic Clustering, and Extractive Summarization for Clinical Question Answering
... to question answering in the clinical domain that combines techniques from summarization and information ...ing semantic classes from the UMLS on- ... See full document
8
The Value of Semantic Parse Labeling for Knowledge Base Question Answering
... a question, iter- atively growing the query graph by sequentially adding a main topic entity, then adding an in- ferential chain and finally adding a set of con- ...original question, as well as some ... See full document
6
A Semantic Based Question Answering System for Thailand Tourism Information
... The Semantic Web can provide significant im- pact on an information intensive industry such as tourism where information plays an important role for decision and action ... See full document
5
Domain Specific Automatic Question Generation from Text
... Argument classification is done by self-training. Yarowsky and Florian (2002) utilized self-training for word sense disambiguation problem in 1995. Yarowsky’s experimental results showed that the performance of ... See full document
7
On Generating Characteristic rich Question Sets for QA Evaluation
... which question difficulty ...plex semantic structure (“Who was the coach when Michael Jordan stopped playing for the Chicago Bulls?”), while some others may be difficult because they require a precise ... See full document
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