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Publications

2020

Annotating topics, stance, argumentativeness and claims in Dutch social media comments : a pilot study (.pdf)

Bauwelinck, N.B., & Lefever, E. (2020).

Uncovering the language of wine experts (.pdf)

Croijmans, I., Hendrickx, I., Lefever, E., Majid, A., & van den Bosch, A. (2020).

Post-editing human translations and revising machine translations : impact on efficiency and quality (.pdf)

Daems, J, & Macken, L. (2020).

An emotional mess! Deciding on a framework for building a Dutch emotion-annotated corpus (.pdf)

De Bruyne, L., De Clercq, O., & Hoste, V. (2020).

An exploratory study into automated précis grading (.pdf)

De Clercq, O., & Van Hoecke, S. (2020).

News topic classification as a first step towards diverse news recommendation (.pdf)

De Clercq, O., De Bruyne, L., & Hoste, V. (2020).

It's absolutely divine! Can fine-grained sentiment analysis benefit from coreference resolution? (.pdf)

De Clercq, O., & Hoste, V. (2020).

Reuniting the sister disciplines of translation and interpreting studies (.pdf)

Defrancq, B., Daems, J, & Vandevoorde, L. (2020).

Reflexive pronouns in Spanish Universal Dependencies (.pdf)

Degraeuwe, JRD, & Goethals, P. (2020).

La selección temática del vocabulario para fines didácticos : evaluación de un acercamiento cuantitativo (.pdf)

Degraeuwe, JRD, & Goethals, P. (2020).

Literary machine translation under the magnifying glass : assessing the quality of an NMT-translated detective novel on document level (.pdf)

Fonteyne, M., Tezcan, A., & Macken, L. (2020).

Literary MT under the magnifying glass: Assessing the quality of an NMT-translated Agatha Christie novel (.pdf)

Fonteyne, M., Tezcan, A., & Macken, L. (2020).

Extracting fine-grained economic events from business news (.pdf)

Jacobs, G.M., & Hoste, V. (2020).

News diversity and recommendation systems : setting the interdisciplinary scene (.pdf)

Joris, G., Colruyt, C., Vermeulen, J., Vercoutere, S., De Grove, F., Van Damme, K., De Clercq, O., Van Hee, C., De Marez, L., Hoste, V., Lievens, E., De Pessemier, T., & Martens, L. (2020).

Guidelines for annotating fine-grained emotion trajectories in customer service dialogues (version 1.0) (.pdf)

Labat, S., Demeester, T., & Hoste, V. (2020).

Identifying cognates in English-Dutch and French-Dutch by means of orthographic information and cross-lingual word embeddings (.pdf)

Lefever, E., Labat, S., & Singh, P. (2020).

Quantifying the effect of machine translation in a high-quality human translation production process (.pdf)

Macken, L., Prou, D., & Tezcan, A. (2020).

Assessing the Comprehensibility of Automatic Translations (ArisToCAT) (.pdf)

Macken, L., Fonteyne, M., Tezcan, A., & Daems, J (2020).

In no uncertain terms : a dataset for monolingual and multilingual automatic term extraction from comparable corpora (.pdf)

Rigouts Terryn, A., Hoste, V., & Lefever, E. (2020).

TermEval 2020 : shared task on automatic term extraction using the Annotated Corpora for term Extraction Research (ACTER) dataset (.pdf)

Rigouts Terryn, A., Hoste, V., Drouin, P., & Lefever, E. (2020).

Annotated Corpora for Term Extraction Research (ACTER)

Rigouts Terryn, A., Hoste, V., & Lefever, E. (2020).

Sentiment analysis for Hinglish code-mixed tweets by means of cross-lingual word embeddings (.pdf)

Singh, P., & Lefever, E. (2020).

LT3 at SemEval-2020 Task 9 : cross-lingual embeddings for sentiment analysis of Hinglish social media text (.pdf)

Singh, P., & Lefever, E. (2020).

LT3 at SemEval-2020 Task 8 : multi-modal multi-task learning for memotion analysis (.pdf)

Singh, P., Bauwelinck, N.B., & Lefever, E. (2020).

Measuring the readability of sustainability reports : a corpus-based analysis through standard formulae and NLP (.pdf)

Smeuninx, N., De Clerck, B., & Aerts, W. (2020).

Estimating word-level quality of statistical machine translation output using monolingual information alone (.pdf)

Tezcan, A., Hoste, V., & Macken, L. (2020).

6th International Workshop on Computational Terminology (COMPUTERM 2020), Proceedings (.pdf)

(2020).

LT3 at SemEval-2020 Task 7 : comparing feature-based and transformer-based approaches to detect funny headlines (.pdf)

Vanroy, B., Labat, S., Kaminska, OK, Lefever, E., & Hoste, V. (2020).

Gutenberg goes neural : comparing features of Dutch human translations with raw neural machine translation outputs in a corpus of English literary classics (.pdf)

Webster, R., Fonteyne, M., Tezcan, A., Macken, L., & Daems, J (2020).

New empirical perspectives on translation and interpreting (.pdf)

(2020).