E. Dinh

发表

Weeding out Conventionalized Metaphors: A Corpus of Novel Metaphor Annotations

Iryna Gurevych, Erik-Lân Do Dinh, Hannah Wieland, 2018, EMNLP.

Token-Level Metaphor Detection using Neural Networks

Iryna Gurevych, Erik-Lân Do Dinh, Iryna Gurevych, 2016 .

Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning

Iryna Gurevych, Tristan Miller, Edwin Simpson, 2019, ACL.

One Size Fits All? A simple LSTM for non-literal token and construction-level classification

Iryna Gurevych, Erik-Lân Do Dinh, Steffen Eger, 2018, LaTeCH@COLING.

A "Wind of Change" - Shaping Public Opinion of the "Arab Spring" Using Metaphors

Iryna Gurevych, Erik-Lân Do Dinh, Alexandra Núñez, 2018, DH.

Killing Four Birds with Two Stones: Multi-Task Learning for Non-Literal Language Detection

Iryna Gurevych, Erik-Lân Do Dinh, Steffen Eger, 2018, COLING.

OFAI-UKP at HAHA@IberLEF2019: Predicting the Humorousness of Tweets Using Gaussian Process Preference Learning

Tristan Miller, Iryna Gurevych, Edwin Simpson, 2020, IberLEF@SEPLN.

In-tool Learning for Selective Manual Annotation in Large Corpora

Iryna Gurevych, Erik-Lân Do Dinh, Richard Eckart de Castilho, 2015, ACL.

Filter and Annotate: Towards Automatic Identification of Genuine Metaphoricity

Iryna Gurevych, Erik-Lân Do Dinh, Petra Gehring, 2018, 2018 IEEE 14th International Conference on e-Science (e-Science).

A "Wind of Change" - Shaping Public Opinion of the "Arab Spring" Using Metaphors

Iryna Gurevych, E. Dinh, Alexandra Núñez, 2017, DH.

EELECTION at SemEval-2017 Task 10: Ensemble of nEural Learners for kEyphrase ClassificaTION

Iryna Gurevych, Erik-Lân Do Dinh, Steffen Eger, 2017, *SEMEVAL.

Still not there? Comparing Traditional Sequence-to-Sequence Models to Encoder-Decoder Neural Networks on Monotone String Translation Tasks

Iryna Gurevych, Carsten Schnober, Erik-Lân Do Dinh, 2016, COLING.