WS 2018

Incorporating Subword Information into Matrix Factorization Word Embeddings

WS 2018 alexandres/lexvec

The positive effect of adding subword information to word embeddings has been demonstrated for predictive models.

WORD EMBEDDINGS

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

Efficient Generation and Processing of Word Co-occurrence Networks Using corpus2graph

WS 2018 zzcoolj/corpus2graph

Corpus2graph is an open-source NLP-application-oriented tool that generates a word co-occurrence network from a large corpus.

KEYWORD EXTRACTION

Fusing Document, Collection and Label Graph-based Representations with Word Embeddings for Text Classification

WS 2018 y3nk0/Graph-Based-TC

Contrary to the traditional Bag-of-Words approach, we consider the Graph-of-Words(GoW) model in which each document is represented by a graph that encodes relationships between the different terms.

SENTIMENT ANALYSIS TEXT CATEGORIZATION WORD EMBEDDINGS

Distractor Generation for Multiple Choice Questions Using Learning to Rank

WS 2018 harrylclc/LTR-DG

We investigate how machine learning models, specifically ranking models, can be used to select useful distractors for multiple choice questions.

LEARNING-TO-RANK

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

The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models

WS 2018 i-machine-think/machine-tasks

Seq2Seq based neural architectures have become the go-to architecture to apply to sequence to sequence language tasks.

Using Language Learner Data for Metaphor Detection

WS 2018 bot-zen/naacl_flp_st

This article describes the system that participated in the shared task on metaphor detection on the Vrije University Amsterdam Metaphor Corpus (VUA).

LANGUAGE IDENTIFICATION WORD EMBEDDINGS

Co-Attention Based Neural Network for Source-Dependent Essay Scoring

WS 2018 Rokeer/co-attention

This paper presents an investigation of using a co-attention based neural network for source-dependent essay scoring.

AUTOMATED ESSAY SCORING

Estimating Linguistic Complexity for Science Texts

WS 2018 Farahn/Liguistic-Complexity

Evaluation of text difficulty is important both for downstream tasks like text simplification, and for supporting educators in classrooms.

FEATURE ENGINEERING READING COMPREHENSION TEXT SIMPLIFICATION