[PDF] Top 20 Relation Extraction from Community Generated Question Answer Pairs

... resolution from Stanford CoreNLP (Manning et ...score from the dictionary or num- ber of existing Freebase triples). All pairs of entities (or entity and date) in a QnA pair that are directly related ... See full document

... a community within the board, and as a result generate huge amount of content on different topics on daily ...information extraction and knowledge discovery from such sources has been on the increase ... See full document

... each question, firstly, dependency relation paths are defined and extracted from the question and each of its candidate ...paths from the question and the candidate sen- tence ... See full document

... the community generated content, however, may not be directly usable due to the vocabulary ...a question answering site for participants to ask and answer health-related ...same ... See full document

... in relation ex- traction use distant supervision from a knowledge base to predict grounded relations between two tar- get entities (Mintz et ...learn from each individual sentence taking into account ... See full document

... tion answer pairs from a given knowl- edge graph. The generated question an- swer (QA) pairs can be used in several downstream ...QA pairs, we first extract a set of ... See full document

... perform relation extraction using dis- tant supervision from a knowledge base (Riedel et ...that relation extraction cares about facts, aggregating over phrases, whereas a lexicon ... See full document

... content generated problems which make them difficult to explore (Henβ et ...human generated contents on the web can actually be found in social media websites such as Twitter, web forum, Facebook, and ... See full document

... content from the Web is increasingly being seen as a promising solution to this ...of question-answer (QA) pairs mined from community-driven question-and-answer ... See full document

... topic from doctor side so the valuable information is shared rapidly in web application and increasingly large amount of patients and doctors are ...extract from large amount of big data so it will have ... See full document

... of question, document id, answer-triples for the factoid questions used in the TREC Question Answering ...the answer. For most of the 1911 questions in the test sets from 2002 to 2006 ... See full document

... on answer selection generally treat- ed this challenge as a classification problem via employing machine learning methods, which re- ly on exploring various features to represent QA ...QA pairs, and used ... See full document

... tors from Glove, several syntactic features, and passage-question joint embedding (aligned ques- tion ...with question in sur- face, lowercase, and lemma ...The question vector formula- tion ... See full document

... the question subject, its parallel alignment score focuses more on “Doha” and “Travel”, while its orthogonal alignment score focuses on “arrange” and “package”, which is the purpose of the travel and therefore is ... See full document

... comparative question must have a comparative expression that mostly either adjective phrase (like good, better, best, cheap, cheaper, cheapest ...Evaluative question needs semantic knowledge over the ...the ... See full document

... false answer sentence, non-constituent answers, parsing errors, overlapping constituents and unknown words are the primary reasons for the mistakes made by our ... See full document

... The nugget evaluation methodology (Voorhees, 2005) developed for scoring answers to com- plex questions is not suitable for our task, since there is no coherent notion of an “answer text” that the user reads ... See full document

... In this paper, we propose new kinds of datasets for training domain-independent mono- lingual translation models. We use the defini- tions and glosses provided for the same term by different lexical semantic resources to ... See full document

... and the answer is a phrase from the original sen- tence. This approach guides annotators to quickly construct high quality questions within a very large space of possibilities. Given a corpus of QA- SRL ... See full document

... This paper addresses the issue of extract- ing contexts and answers of questions from post discussion of online forums. We propose a novel and unified model by customizing the structural Support Vector Machine ... See full document