Text Matching

16 papers with code · Natural Language Processing

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Text Matching as Image Recognition

20 Feb 2016NTMC-Community/MatchZoo

An effective way is to extract meaningful matching patterns from words, phrases, and sentences to produce the matching score.

AD-HOC INFORMATION RETRIEVAL TEXT MATCHING

AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks

CVPR 2018 taoxugit/AttnGAN

In this paper, we propose an Attentional Generative Adversarial Network (AttnGAN) that allows attention-driven, multi-stage refinement for fine-grained text-to-image generation.

TEXT MATCHING TEXT-TO-IMAGE GENERATION

Stacked Cross Attention for Image-Text Matching

ECCV 2018 kuanghuei/SCAN

Prior work either simply aggregates the similarity of all possible pairs of regions and words without attending differentially to more and less important words or regions, or uses a multi-step attentional process to capture limited number of semantic alignments which is less interpretable.

IMAGE RETRIEVAL TEXT MATCHING

Simple and Effective Text Matching with Richer Alignment Features

ACL 2019 hitvoice/RE2

In this paper, we present a fast and strong neural approach for general purpose text matching applications.

ANSWER SELECTION NATURAL LANGUAGE INFERENCE PARAPHRASE IDENTIFICATION TEXT MATCHING

Matching Article Pairs with Graphical Decomposition and Convolutions

ACL 2019 BangLiu/ArticlePairMatching

Identifying the relationship between two articles, e. g., whether two articles published from different sources describe the same breaking news, is critical to many document understanding tasks.

QUESTION ANSWERING TEXT MATCHING

Visual Semantic Reasoning for Image-Text Matching

ICCV 2019 KunpengLi1994/VSRN

It outperforms the current best method by 6. 8% relatively for image retrieval and 4. 8% relatively for caption retrieval on MS-COCO ([email protected] using 1K test set).

IMAGE RETRIEVAL TEXT MATCHING

UNITER: Learning UNiversal Image-TExt Representations

25 Sep 2019ChenRocks/UNITER

Joint image-text embedding is the bedrock for most Vision-and-Language (V+L) tasks, where multimodality inputs are jointly processed for visual and textual understanding.

LANGUAGE MODELLING QUESTION ANSWERING TEXT MATCHING VISUAL COMMONSENSE REASONING VISUAL QUESTION ANSWERING

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

Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems

1 May 2018yangliuy/NeuralResponseRanking

Our models and research findings provide new insights on how to utilize external knowledge with deep neural models for response selection and have implications for the design of the next generation of information-seeking conversation systems.

TEXT MATCHING