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Language acquisition refers to tasks related to the learning of a second language.

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Greatest papers with code

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

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

Neural Network Acceptability Judgments

TACL 2019 nyu-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.

CLASSIFICATION LANGUAGE ACQUISITION LINGUISTIC ACCEPTABILITY

The Second DIHARD Diarization Challenge: Dataset, task, and baselines

18 Jun 2019iiscleap/DIHARD_2019_baseline_alltracks

This paper introduces the second DIHARD challenge, the second in a series of speaker diarization challenges intended to improve the robustness of diarization systems to variation in recording equipment, noise conditions, and conversational domain.

ACTION DETECTION ACTIVITY DETECTION LANGUAGE ACQUISITION SPEAKER DIARIZATION SPEECH ENHANCEMENT

Learning to Learn Words from Visual Scenes

ECCV 2020 cvlab-columbia/expert

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

LANGUAGE ACQUISITION LANGUAGE MODELLING META-LEARNING

Visually Grounded Continual Learning of Compositional Phrases

EMNLP 2020 INK-USC/VisCOLL

To study this human-like language acquisition ability, we present VisCOLL, a visually grounded language learning task, which simulates the continual acquisition of compositional phrases from streaming visual scenes.

CONTINUAL LEARNING LANGUAGE ACQUISITION LANGUAGE MODELLING

Learning Music Helps You Read: Using Transfer to Study Linguistic Structure in Language Models

EMNLP 2020 toizzy/tilt-transfer

We propose transfer learning as a method for analyzing the encoding of grammatical structure in neural language models.

LANGUAGE ACQUISITION LANGUAGE MODELLING TRANSFER LEARNING