[PDF] Top 20 Why Question Answering using Sentiment Analysis and Word Classes
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Why Question Answering using Sentiment Analysis and Word Classes
... UpperBound: a system that ranks all n correct an- swers as the top n results of the 20 answer can- didates if there are any. This indicates the per- formance upperbound in this experiment. The relative performance of ... See full document
11
Why Question Answering using Intra and Inter Sentential Causal Relations
... mantic word class features (semantic word classes obtained by automatic word clustering (Kazama and Torisawa, 2008)) and sentiment polarity fea- tures (word and phrase ... See full document
11
Question Analysis and Answer Passage Retrieval for Opinion Question Answering Systems
... with question answering has not yet been studied ...classifier using lists of subjective nouns learned by bootstrapping ...determine word sentiments and combined sentiments within a ...overall ... See full document
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Sentiment Classification towards Question Answering with Hierarchical Matching Network
... QA-style sentiment analysis, and build a large-scale annotated corpus tailed for this ...the question and answer text into sen- tences and construct the [Q-sentence, A-sentence] units for each QA ... See full document
10
Aspect Sentiment Classification Towards Question Answering with Reinforced Bidirectional Attention Network
... fine-grained sentiment analysis task, Aspect Sentiment Classification (ASC) aims to predict sentiment polarities ...positive sentiment towards the former and negative sentiment ... See full document
10
An Analysis of Clarification Dialogue for Question Answering
... current question and previous ...either using all WordNet relations (Budanitsky and Hirst 2001) or only is-a relations (Resnik 1995; Jiang and Conrath 1997; Mihalcea and Moldvoan ...the Question ... See full document
8
Question Analysis for Polish Question Answering
... A question focus removal (applied by Moldovan et ...the question Który znany malarz twierdził, ˙ze ob- ci ˛ał sobie ...the question fo- cus znany malarz are not absolutely necessary in a source ... See full document
7
Statistical independence for the evaluation of classifier-based diagnosis
... literature answering the question ‘‘did the classifier learn to discriminate the classes?’’ was recently reviewed in [8], and a novel approach based on the analysis of the statistical ... See full document
7
Question Classification using Naive Bayes Classifier and Creating Missing Classes using Semantic Similarity in Question Answering System
... Semantic similarity is a measure of informativeness.It is computed based on the properties of the concepts and their relationships. Semantic similarity has been a part of computational linguistics and artificial ... See full document
6
Learning Continuous Word Embedding with Metadata for Question Retrieval in Community Question Answering
... baseline word embedding trained by Skip-gram against this trained by ...of word embedding is set as 50,100 and ...models: word-based translation model (Jeon et al., 2005), word-based ... See full document
10
An Analysis of the AskMSR Question Answering System
... ing the user’s query and matching sections in documents. The most common linguistic resources include: part-of-speech tagging, parsing, named entity extraction, semantic relations, dictionaries, WordNet, etc. (e.g., ... See full document
8
Question Analysis and Answer Passage Retrieval for Opinion Question Answering Systems
... opinion question, all answer passages have to be retrieved for opinion polarity ...retrieval using the opinion word approach and the action word approach, ... See full document
13
Using Semantic Roles to Improve Question Answering
... Our evaluation was motivated by the following ques- tions: (1) How does the incompleteness of FrameNet impact QA performance on the TREC data sets? In particular, we wanted to examine whether there are questions for ... See full document
10
Developing an Approach for Why Question Answering
... The question Why did they say that migration occurs? can be interpreted in two ways: Why did they say it? or Why does migration ...our question analysis module tries to find out ... See full document
8
Efficient Computational linguistics Framework for Concept Drift Detection
... Nevertheless, numerous words are polysemous and be appropriate to several synsets, resulting in unauthentic equivalents in retrieval |2|. Despite the growing significance of Information Retrieval (IR) methods as data ... See full document
6
Science Question Answering using Instructional Materials
... Inference and knowledge selection: We use beam search with a fixed beam size (5) for inference. We infer the textbook, chapter, section, snippet and alignments one by one in this order. In each step, we only expand the ... See full document
7
Question Generation for Question Answering
... our question generation approach has two uniqueness: (1) all question patterns, that are used as training data for question generation, are auto- matically extracted from a large scale CQA ques- tion ... See full document
9
PhotoshopQuiA: A Corpus of Non Factoid Questions and Answers for Why Question Answering
... of question-answering (QA) systems to pro- mote new methods that integrate natural language process- ing, information retrieval, artificial intelligence and knowl- edge ...96K question-answer pairs ... See full document
8
Using Question Series to Evaluate Question Answering System Effectiveness
... recent question answering evaluations as a means of mod- eling dialogues between questioners and ...for answering contextualized questions and for tracking (some forms of) the way objects are re- ... See full document
8
A Probabilistic Rasch Analysis of Question Answering Evaluations
... above. Using twenty to fifty questions from a set of 500 will probably be sufficient, especially when misfitting ques- tions are ...2005 question set so as to place the 2004 and 2005 results on the same ... See full document
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