[PDF] Top 20 Question Answering Systems Approaches and Challenges

... The deep learning approach has been widely used in different NLP tasks, including QA. The DL can overcome some limitations, such as the complexity of feature extraction. Also, it can be beneficial for reducing dependency ... See full document

... interactive question answering ...the challenges of temporal constraints was the addition of the temporal resolution ...the question together to resolve any ambiguous temporal context and used ... See full document

... Some systems define relationships between web page extracts or texts containing possible answers: for example, (Radev and McKeown, 1998) and (Harabagiu and Lacatusu, 2004) define agreement (when two sources report ... See full document

... answerer, systems are li- able to return pragmatically-incorrect ...specific question would be decided based on user modeling (“content specification” in Lehnert’s terms), ...generic question ... See full document

... evaluation challenges associated with Scenario QA, a form of Question Answer- ing where the user input can include background informa- tion and questions with multiple parts, representing a com- plex ... See full document

... The visualization of data (fig. 3) has an important part in evaluating NLP approaches as it allows to have an overall view of the questions and passages, or if a phenomenon has been handled correctly. We bring to ... See full document

... It turns out, however, that this approach does not work too well. One problem is that in the beginning of a dialogue not many informative words are contained in the utterances, therefore making an informed selection of ... See full document

... The treatment of factual data has been widely studied in different areas of Nat- ural Language Processing (NLP). How- ever, processing subjective information still poses important challenges. This paper presents ... See full document

... future challenges and to guide research in this field, a number of QA roadmaps have been proposed: in 2001, Advanced Question and Answering for Intelligence, the (AQUAINT) program initiative, was ... See full document

... QA systems rely on complex architectures including modules in charge of the linguistic processing of the ques- tion, search in textual databases, and extraction of relevant text ...such systems re- quires a ... See full document

... information systems. We aim to promote systems and approaches that are able to deal with the whole diversity of the Web, especially for, but not restricted to, the context of bio- ...of ... See full document

... opinion question, all answer passages have to be retrieved for opinion polarity ...two approaches, adopting meaningful units as opinion scopes is better than adopting sentences and sentence ... See full document

... opinion question, all answer passages have to be retrieved for opinion polarity ...two approaches, adopting meaningful units as opinion scopes is better than adopting sentences and sentence ... See full document

... QA systems such as Quarc [Ellen Riloff,(2003)] and Noisy channel [Abdessamad Echihabi,(2000)] generates heuristic rules with the help of lexical and semantic features in the ...all question types it ... See full document

... for systems top systems (UH-PRHLT) using sophisticated hand-engineered ...top systems in the competition is that neural networks suffer from the data scarcity ... See full document

... for systems like Question Answering to bridge the gap between general end users and the web with its different data ...Arabic Question Answering Systems building processes and ... See full document

... This paper presents a multi-layered Question An- swering (Q.A.) architecture suitable for enhanc- ing current Q.A. capabilities with the possibility of processing complex questions. That is, questions whose answer ... See full document

... ing question: Will these results be the same for any other question set? We have analysed test questions in order to determine if results obtained depend on question test ...the question test ... See full document

... of question generation approaches are proposed, one is a retrieval-based method using convo- lution neural network (CNN), the other is a generation-based method using recurrent neural network (RNN); Second, ... See full document

... In machine learning approach, a machine learning model is designed and trained on an annotated corpus composed of labeled questions. The approach assumes that useful patterns for later classification will be ... See full document