Text Matching

25 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.

#3 best model for Text-to-Image Generation on COCO (SOA-C metric)

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

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: UNiversal Image-TExt Representation Learning

25 Sep 2019ChenRocks/UNITER

Different from previous work that applies joint random masking to both modalities, we use conditional masking on pre-training tasks (i. e., masked language/region modeling is conditioned on full observation of image/text).

LANGUAGE MODELLING QUESTION ANSWERING REPRESENTATION LEARNING TEXT MATCHING VISUAL COMMONSENSE REASONING VISUAL ENTAILMENT VISUAL QUESTION ANSWERING

Extractive Summarization as Text Matching

19 Apr 2020maszhongming/MatchSum

This paper creates a paradigm shift with regard to the way we build neural extractive summarization systems.

TEXT MATCHING

Keyword-Attentive Deep Semantic Matching

11 Mar 2020DataTerminatorX/Keyword-BERT

Deep Semantic Matching is a crucial component in various natural language processing applications such as question and answering (QA), where an input query is compared to each candidate question in a QA corpus in terms of relevance.

TEXT MATCHING