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Question Answering

270 papers with code · Natural Language Processing

Question answering is the task of answering a question.

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Natural Questions: a Benchmark for Question Answering Research

Transactions of the Association of Computational Linguistics 2019 google-research/language

The public release consists of 307, 373 training examples with single annotations, 7, 830 examples with 5-way annotations for development data, and a further 7, 842 examples 5-way annotated sequestered as test data.

QUESTION ANSWERING

138
01 Jun 2019

Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering

8 Apr 2019fanchenyou/HME-VideoQA

In this paper, we propose a novel end-to-end trainable Video Question Answering (VideoQA) framework with three major components: 1) a new heterogeneous memory which can effectively learn global context information from appearance and motion features; 2) a redesigned question memory which helps understand the complex semantics of question and highlights queried subjects; and 3) a new multimodal fusion layer which performs multi-step reasoning by attending to relevant visual and textual hints with self-updated attention.

QUESTION ANSWERING VIDEO QUESTION ANSWERING

6
08 Apr 2019

MMED: A Multi-domain and Multi-modality Event Dataset

4 Apr 2019zhengyang5/ACM-MMSys19-MMED400

In this work, we construct and release a multi-domain and multi-modality event dataset (MMED), containing 25, 165 textual news articles collected from hundreds of news media sites (e. g., Yahoo News, Google News, CNN News.)

QUESTION ANSWERING VISUAL QUESTION ANSWERING

1
04 Apr 2019

Guiding Extractive Summarization with Question-Answering Rewards

4 Apr 2019ucfnlp/summ_qa_rewards

However, a major obstacle to the development of a supervised summarizer is the lack of ground-truth.

QUESTION ANSWERING

2
04 Apr 2019

BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis

3 Apr 2019howardhsu/BERT-for-RRC-ABSA

Since ReviewRC has limited training examples for RRC (and also for aspect-based sentiment analysis), we then explore a novel post-training approach on the popular language model BERT to enhance the performance of fine-tuning of BERT for RRC.

ASPECT-BASED SENTIMENT ANALYSIS DECISION MAKING LANGUAGE MODELLING MACHINE READING COMPREHENSION QUESTION ANSWERING

58
03 Apr 2019

Habitat: A Platform for Embodied AI Research

2 Apr 2019facebookresearch/habitat-sim

Specifically, in the context of point-goal navigation (1) we revisit the comparison between learning and SLAM approaches from two recent works and find evidence for the opposite conclusion -- that learning outperforms SLAM, if scaled to total experience far surpassing that of previous investigations, and (2) we conduct the first cross-dataset generalization experiments {train, test} x {Matterport3D, Gibson} for multiple sensors {blind, RGB, RGBD, D} and find that only agents with depth (D) sensors generalize across datasets.

QUESTION ANSWERING

230
02 Apr 2019

Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence

22 Mar 2019HSLCY/ABSA-BERT-pair

Aspect-based sentiment analysis (ABSA), which aims to identify fine-grained opinion polarity towards a specific aspect, is a challenging subtask of sentiment analysis (SA).

ASPECT-BASED SENTIMENT ANALYSIS NATURAL LANGUAGE INFERENCE QUESTION ANSWERING

63
22 Mar 2019

Data-driven Approach for Quality Evaluation on Knowledge Sharing Platform

1 Mar 2019lucasxlu/ZhihuDataDriven

In recent years, voice knowledge sharing and question answering (Q&A) platforms have attracted much attention, which greatly facilitate the knowledge acquisition for people.

QUESTION ANSWERING

1
01 Mar 2019

Lattice CNNs for Matching Based Chinese Question Answering

25 Feb 2019Erutan-pku/LCN-for-Chinese-QA

Short text matching often faces the challenges that there are great word mismatch and expression diversity between the two texts, which would be further aggravated in languages like Chinese where there is no natural space to segment words explicitly.

QUESTION ANSWERING TEXT MATCHING

8
25 Feb 2019

Learning to Apply Schematic Knowledge to Novel Instances

24 Feb 2019cchen23/generalized_schema_learning

Humans have schematic knowledge of how certain types of events unfold (e. g. coffeeshop visits) that can readily be generalized to new instances of those events.

QUESTION ANSWERING

0
24 Feb 2019