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Language Acquisition

21 papers with code · Natural Language Processing

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Interactive Language Acquisition with One-shot Visual Concept Learning through a Conversational Game

ACL 2018 PaddlePaddle/XWorld

Building intelligent agents that can communicate with and learn from humans in natural language is of great value.

LANGUAGE ACQUISITION

Deep Factorization Machines for Knowledge Tracing

WS 2018 jilljenn/ktm

This paper introduces our solution to the 2018 Duolingo Shared Task on Second Language Acquisition Modeling (SLAM).

KNOWLEDGE TRACING LANGUAGE ACQUISITION

Deep Factorization Machines for Knowledge Tracing

1 May 2018jilljenn/ktm

This paper introduces our solution to the 2018 Duolingo Shared Task on Second Language Acquisition Modeling (SLAM).

KNOWLEDGE TRACING LANGUAGE ACQUISITION

Neural Network Acceptability Judgments

31 May 2018nyu-mll/CoLA-baselines

This paper investigates the ability of artificial neural networks to judge the grammatical acceptability of a sentence, with the goal of testing their linguistic competence.

LANGUAGE ACQUISITION LINGUISTIC ACCEPTABILITY

Learning to Learn Words from Visual Scenes

25 Nov 2019cvlab-columbia/expert

Language acquisition is the process of learning words from the surrounding scene.

LANGUAGE ACQUISITION LANGUAGE MODELLING META-LEARNING

Learning Latent Semantic Annotations for Grounding Natural Language to Structured Data

EMNLP 2018 hiaoxui/D2T-Grounding

Previous work on grounded language learning did not fully capture the semantics underlying the correspondences between structured world state representations and texts, especially those between numerical values and lexical terms.

LANGUAGE ACQUISITION TEXT GENERATION

A Natural Language Corpus of Common Grounding under Continuous and Partially-Observable Context

8 Jul 2019Alab-NII/onecommon

Finally, we evaluate and analyze baseline neural models on a simple subtask that requires recognition of the created common ground.

DIALOGUE UNDERSTANDING GOAL-ORIENTED DIALOG LANGUAGE ACQUISITION

Context Based Approach for Second Language Acquisition

WS 2018 iampuntre/slam18

Our system uses a logistic regression model to predict the likelihood of a student making a mistake while answering an exercise on Duolingo in all three language tracks - English/Spanish (en/es), Spanish/English (es/en) and French/English (fr/en).

LANGUAGE ACQUISITION