Question Answer Pairs
Related Papers
Automatic Question Answering: Beyond the Factoid
In this paper we describe and evaluate a Ques- tion Answering system that goes beyond an- swering factoid questions. We focus on FAQ- like questions and answers, and build our …...
Statistical Machine Translation for Query Expansion in Answer Retrieval
We present an approach to query expan- sion in answer retrieval that uses Statisti- cal Machine Translation (SMT) techniques to bridge the lexical gap between ques- tions and answers. SMT-based …...
Strategies for Mixed-Initiative Conversation Management using Question-Answer Pairs
One of the biggest bottlenecks for conversational systems is large-scale provision of suitable content. In this paper, we present the use of content mined from online question-and-answer forums to automatically …...
YADAC: Yet another Dialectal Arabic Corpus
AbstractThis paper presents the first phase of building YADAC ― a multi-genre Dialectal Arabic (DA) corpus ― that is compiled using Web data from microblogs (i.e. Twitter), blogs/forums and online …...
Semantic Parsing on Freebase from Question-Answer Pairs
In this paper, we train a semantic parser that scales up to Freebase. Instead of relying on annotated logical forms, which is especially expensive to obtain at large scale, we …...
Semantic Parsing via Paraphrasing
A central challenge in semantic parsing is handling the myriad ways in which knowl- edge base predicates can be expressed. Traditionally, semantic parsers are trained primarily from text paired with …...
Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non-factoid Question Answering
Monolingual alignment models have been shown to boost the performance of question answering systems by ”bridging the lexical chasm” between questions and answers. The main limitation of these approaches is …...
Neural Generative Question Answering
This paper presents an end-to-end neural net- work model, named Neural Generative Ques- tion Answering (GENQA), that can generate answers to simple factoid questions, based on the facts in a …...
Search-based Neural Structured Learning for Sequential Question Answering
AbstractRecent work in semantic parsing for question answering has focused on long and complicated questions, many of which would seem unnatural if asked in a normal conversation between two humans. …...
Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question Generation
AbstractWhile models for Visual Question Answering (VQA) have steadily improved over the years, interacting with one quickly reveals that these models lack consistency. For instance, if a model answers “red” …...
Generating Responses that Reflect Meta Information in User-Generated Question Answer Pairs
AbstractThis paper concerns the problem of realizing consistent personalities in neural conversational modeling by using user generated question-answer pairs as training data. Using the framework of role play-based question answering, …...
COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images
AbstractWhile interest in models that generalize at test time to new compositions has risen in recent years, benchmarks in the visually-grounded domain have thus far been restricted to synthetic images. …...
Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation
AbstractOpen-domain question answering answers a question based on evidence retrieved from a large corpus. State-of-the-art neural approaches require intermediate evidence annotations for training. However, such intermediate annotations are expensive, and …...
Design Choices in Crowdsourcing Discourse Relation Annotations: The Effect of Worker Selection and Training
AbstractObtaining linguistic annotation from novice crowdworkers is far from trivial. A case in point is the annotation of discourse relations, which is a complicated task. Recent methods have obtained promising …...