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Matching a target text to a source text based on their meaning.

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Greatest papers with code

Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering

10 Nov 2019huggingface/transformers

We introduce an approach for open-domain question answering (QA) that retrieves and reads a passage graph, where vertices are passages of text and edges represent relationships that are derived from an external knowledge base or co-occurrence in the same article.

OPEN-DOMAIN QUESTION ANSWERING READING COMPREHENSION TEXT MATCHING

Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document Matching

26 Apr 2020google-research/google-research

In order to better capture sentence level semantic relations within a document, we pre-train the model with a novel masked sentence block language modeling task in addition to the masked word language modeling task used by BERT.

INFORMATION RETRIEVAL LANGUAGE MODELLING NATURAL LANGUAGE UNDERSTANDING QUESTION ANSWERING REPRESENTATION LEARNING TEXT MATCHING

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.

Ranked #3 on Text-to-Image Generation on COCO (SOA-C metric)

TEXT MATCHING TEXT-TO-IMAGE GENERATION

UNITER: UNiversal Image-TExt Representation Learning

ECCV 2020 ChenRocks/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 REFERRING EXPRESSION COMPREHENSION REPRESENTATION LEARNING TEXT MATCHING VISUAL COMMONSENSE REASONING VISUAL ENTAILMENT VISUAL QUESTION ANSWERING

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.

CROSS-MODAL RETRIEVAL IMAGE RETRIEVAL 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

Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching

16 Jan 2021BangLiu/ArticlePairMatching

That is because there are usually many noises in the setting of long-form text matching, and it is difficult for existing semantic text matching to capture the key matching signals from this noisy information.

COMMUNITY QUESTION ANSWERING INFORMATION RETRIEVAL SEMANTIC TEXT MATCHING SENTENCE SIMILARITY TEXT MATCHING