otherentity ID: attributes

Related Papers

Is an Image Worth More than a Thousand Words? On the Fine-Grain Semantic Differences between Visual and Linguistic Representations

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

AbstractHuman concept representations are often grounded with visual information, yet some aspects of meaning cannot be visually represented or are better described with language. Thus, vision and language provide complementary …...

4352

Exploring Conversational Language Generation for Rich Content about Hotels

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

Dialogue systems for hotel and tourist information have typically simplified the richness of the domain, focusing system utterances on only a few selected attributes such as price, location and type …...

17391

Face2Text: Collecting an Annotated Image Description Corpus for the Generation of Rich Face Descriptions

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

The past few years have witnessed renewed interest in NLP tasks at the interface between vision and language. One intensively-studied problem is that of automatically generating text from images. In …...

17502

Scaling up Open Tagging from Tens to Thousands: Comprehension Empowered Attribute Value Extraction from Product Title

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractSupplementing product information by extracting attribute values from title is a crucial task in e-Commerce domain. Previous studies treat each attribute only as an entity type and build one set …...

39449

Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractA case-based reasoning (CBR) system solves a new problem by retrieving ‘cases’ that are similar to the given problem. If such a system can achieve high accuracy, it is appealing …...

29628

Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractCaptioning is a crucial and challenging task for video understanding. In videos that involve active agents such as humans, the agent’s actions can bring about myriad changes in the scene. …...

31109