Browse SoTA > Natural Language Processing > Language Acquisition

Language Acquisition

24 papers with code · Natural Language Processing

Benchmarks

Greatest papers with code

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

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.

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

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