Linguistically Aware Information Retrieval: Providing Input Enrichment for Second Language Learners
Code (0)
등록된 구현이 없습니다.
Tasks
Information RetrievalLanguage AcquisitionRetrievalSimilar Papers 제목 키워드 기반
EqualizeIR: Mitigating Linguistic Biases in Retrieval Models
This study finds that existing information retrieval (IR) models show significant biases based on the linguistic complexity of input queries, performing well on linguistically simpler (or more complex) queries while unde…
Information RetrievalRetrievalLinguistically-aware Attention for Reducing the Semantic-Gap in Vision-Language Tasks
Attention models are widely used in Vision-language (V-L) tasks to perform the visual-textual correlation. Humans perform such a correlation with a strong linguistic understanding of the visual world. However, even the b…
Image CaptioningVisual Question Answering (VQA)Tools for Terminology Processing
Automatic terminology processing appeared 10 years ago when electronic corpora became widely available. Such processing may be statistically or linguistically based and produces terminology resources that can be used in …
Information RetrievalRetrievalGender-Aware Reinflection using Linguistically Enhanced Neural Models
In this paper, we present an approach for sentence-level gender reinflection using linguistically enhanced sequence-to-sequence models. Our system takes an Arabic sentence and a given target gender as input and generates…
DecoderGrammatical Error CorrectionSentenceComprehensive Review on Semantic Information Retrieval and Ontology Engineering
Situation awareness is a crucial cognitive skill that enables individuals to perceive, comprehend, and project the current state of their environment accurately. It involves being conscious of relevant information, under…
Information RetrievalRetrieval