[PDF] Top 20 Learning to Paraphrase for Question Answering
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Learning to Paraphrase for Question Answering
... of question pairs are merely related rather than genuine ...vest paraphrase rules from the corpus. We first ex- tracted question templates ...During paraphrase generation, we consider ... See full document
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Learning to Collaborate for Question Answering and Asking
... Question answering (QA) and question gener- ation (QG) are closely related tasks that could improve each other; however, the connection of these two tasks is not well explored in lit- ...the ... See full document
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Learning Named Entity Hyponyms for Question Answering
... The chief contribution of this study is demonstrat- ing that an automatically mined knowledge base, which naturally contains errors as well as correctly distilled knowledge, can be used to improve QA per- formance. In ... See full document
6
Learning Strategies for Open Domain Natural Language Question Answering
... automatically learning strategies for natural language question answering from examples composed of textual sources, questions, and ...text-based question answering known as story ... See full document
6
Interactive Language Learning by Question Answering
... Templated Language: As QAit is based on TextWorld, it has the obvious limitation of us- ing templated English. However, TextWorld pro- vides approximately 500 human-written templates for describing rooms and objects, so ... See full document
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A Graph based Semi Supervised Learning for Question Answering
... semi-supervised learning for the question-answering (QA) task for ranking candidate ...guage question posed by the user and the candidate sentences returned from search ...matching, ... See full document
9
Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning
... a Question Paraphrase Retrieval (QPR) system is to retrieve similar questions that result in the same answer as the orig- inal ...nity Question Answering (cQA) and open- domain spoken language ... See full document
8
A Paraphrase Generation System for EHR Question Answering
... 2014). Question answering (QA) systems have the potential to re- duce the time it takes for users to access informa- tion present in the ...a question (Duboue and Chu-Carroll, 2006; Fader et ... See full document
10
Supervised and Unsupervised Transfer Learning for Question Answering
... transfer learning has been shown to be successful for tasks like object and speech recognition, its applicability to question answering (QA) has yet to be ...transfer learning technique from ... See full document
10
Effective shared representations with Multitask Learning for Community Question Answering
... Question–Answer Similarity. Yao et al. (2013) used a conditional random field trained on a set of powerful features, such as tree-edit distance be- tween question and answer trees. Heilman and Smith (2010) ... See full document
7
Neural Attention for Learning to Rank Questions in Community Question Answering
... In real-world data, e.g., from Web forums, text is often contaminated with redundant or irrele- vant content, which leads to introducing noise in machine learning algorithms. In this paper, we apply Long ... See full document
12
Learning surface text patterns for a Question Answering System
... open-domain question answering ...for learning such patterns ...each question type to ...TREC-10 question set, we report results for two cases: answers determined from the TREC-10 ... See full document
7
Paraphrase Driven Learning for Open Question Answering
... study question answering as a ma- chine learning problem, and induce a func- tion that maps open-domain questions to queries over a database of web extrac- ...community-authored, ... See full document
11
Learning to Compose Neural Networks for Question Answering
... Neural models for question answering are also a subject of current interest. These include ap- proaches that model the task directly as a multiclass classification problem (Iyyer et al., 2014), models that ... See full document
10
Learning Continuous Word Embedding with Metadata for Question Retrieval in Community Question Answering
... Community question answering (cQA) has become an important issue due to the popularity of cQA archives on the ...of question retrieval. Question retrieval in cQA archives aims to find the ... See full document
10
Machine Learning Approach for Question Answering in Information Retrieval
... (Community Question Answering) is a major challenge nowadays due to the popularity and advantages of CQA archives over the ...in question retrieval and providing multiple domain based CQA ...of ... See full document
8
Web Based Unsupervised Learning for Query Formulation in Question Answering
... A naive solution to query formulation is using the keywords in an input question as the query to a search engine. However, it is possible that the keywords may not appear in those answer passages which contain ... See full document
11
Learning Question Guided Video Representation for Multi Turn Video Question Answering
... a question-relevant ...the question answering ...store question informa- tion, which allows multiple iterations of question- conditioned inference on the video features (Na et ... See full document
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A Machine Learning Approach to Introspection in a Question Answering System
... [r] ... See full document
8
Search based Neural Structured Learning for Sequential Question Answering
... a question, we try to generate its correct semantic parse in a formal language that can be predefined by the choice of structured data source ...previous question, which if added would blow up the search ... See full document
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