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Language Acquisition

19 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 REGRESSION

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 REGRESSION

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 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

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 REGRESSION

Semantic speech retrieval with a visually grounded model of untranscribed speech

5 Oct 2017kamperh/semantic_flickraudio

We introduce a newly collected data set of human semantic relevance judgements and an associated task, semantic speech retrieval, where the goal is to search for spoken utterances that are semantically relevant to a given text query.

LANGUAGE ACQUISITION

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